diff --git a/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoDsp.js b/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoDsp.js
new file mode 100644
index 0000000..1f71cf0
--- /dev/null
+++ b/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoDsp.js
@@ -0,0 +1,585 @@
+/*
+ * Pure signal-processing and geometry for acoustic ranging. No DOM, no Web Audio, no network:
+ * everything here is a function of its arguments so the simulator and the tests can drive the
+ * exact code the page runs.
+ */
+const EchoDsp = {
+    speedOfSound(temperatureCelsius = 20) {
+        return 331.3 + 0.606 * temperatureCelsius;
+    },
+
+    nextPowerOfTwo(value) {
+        let size = 1;
+        while (size < value) size <<= 1;
+        return size;
+    },
+
+    /**
+     * Linear frequency sweep, tapered at both ends. A sweep is used rather than a tone because a
+     * tone's autocorrelation peaks once per period, leaving no unambiguous arrival to measure.
+     */
+    makeChirp({ sampleRate, durationSeconds, startHz, endHz, taperFraction = 0.15 }) {
+        const length = Math.round(sampleRate * durationSeconds);
+        const sweepRate = (endHz - startHz) / durationSeconds;
+        const chirp = new Float32Array(length);
+
+        for (let i = 0; i < length; i++) {
+            const t = i / sampleRate;
+            chirp[i] = Math.sin(2 * Math.PI * (startHz * t + 0.5 * sweepRate * t * t));
+        }
+
+        return this.applyTaper(chirp, taperFraction);
+    },
+
+    applyTaper(signal, fraction) {
+        const edge = Math.max(1, Math.floor(signal.length * fraction));
+
+        for (let i = 0; i < edge; i++) {
+            const window = 0.5 - 0.5 * Math.cos((Math.PI * i) / edge);
+            signal[i] *= window;
+            signal[signal.length - 1 - i] *= window;
+        }
+
+        return signal;
+    },
+
+    twiddles(size) {
+        this._twiddleCache ??= new Map();
+        const cached = this._twiddleCache.get(size);
+        if (cached) return cached;
+
+        const half = size >> 1;
+        const table = { cos: new Float64Array(half), sin: new Float64Array(half) };
+
+        for (let i = 0; i < half; i++) {
+            const angle = (-2 * Math.PI * i) / size;
+            table.cos[i] = Math.cos(angle);
+            table.sin[i] = Math.sin(angle);
+        }
+
+        this._twiddleCache.set(size, table);
+        return table;
+    },
+
+    fft(real, imaginary, inverse = false) {
+        const size = real.length;
+        this.reverseBits(real, imaginary);
+        const { cos, sin } = this.twiddles(size);
+
+        for (let span = 2; span <= size; span <<= 1) {
+            const half = span >> 1;
+            const stride = size / span;
+
+            for (let base = 0; base < size; base += span) {
+                for (let k = 0; k < half; k++) {
+                    const twiddle = k * stride;
+                    const wReal = cos[twiddle];
+                    const wImaginary = inverse ? -sin[twiddle] : sin[twiddle];
+
+                    const lower = base + k;
+                    const upper = lower + half;
+                    const productReal = real[upper] * wReal - imaginary[upper] * wImaginary;
+                    const productImaginary = real[upper] * wImaginary + imaginary[upper] * wReal;
+
+                    real[upper] = real[lower] - productReal;
+                    imaginary[upper] = imaginary[lower] - productImaginary;
+                    real[lower] += productReal;
+                    imaginary[lower] += productImaginary;
+                }
+            }
+        }
+
+        if (!inverse) return { real, imaginary };
+
+        for (let i = 0; i < size; i++) {
+            real[i] /= size;
+            imaginary[i] /= size;
+        }
+
+        return { real, imaginary };
+    },
+
+    reverseBits(real, imaginary) {
+        const size = real.length;
+
+        for (let i = 1, j = 0; i < size; i++) {
+            let bit = size >> 1;
+            for (; j & bit; bit >>= 1) j ^= bit;
+            j ^= bit;
+            if (i >= j) continue;
+
+            [real[i], real[j]] = [real[j], real[i]];
+            [imaginary[i], imaginary[j]] = [imaginary[j], imaginary[i]];
+        }
+
+        return { real, imaginary };
+    },
+
+    /**
+     * Matched-filter envelope of a recording against a template, via FFT cross-correlation.
+     * Negative frequencies are dropped so the result is the analytic envelope rather than a burst
+     * oscillating at the sweep frequency — an oscillating peak defeats sub-sample interpolation
+     * and makes first-arrival detection jitter by half a carrier period.
+     */
+    matchedFilterEnvelope(recording, template) {
+        const size = this.nextPowerOfTwo(recording.length + template.length);
+        const recordingReal = new Float64Array(size);
+        const recordingImaginary = new Float64Array(size);
+        const templateReal = new Float64Array(size);
+        const templateImaginary = new Float64Array(size);
+
+        recordingReal.set(recording);
+        templateReal.set(template);
+        this.fft(recordingReal, recordingImaginary);
+        this.fft(templateReal, templateImaginary);
+
+        const analyticReal = new Float64Array(size);
+        const analyticImaginary = new Float64Array(size);
+        const half = size >> 1;
+
+        for (let i = 0; i <= half; i++) {
+            const gain = i === 0 || i === half ? 1 : 2;
+            analyticReal[i] = gain * (recordingReal[i] * templateReal[i] + recordingImaginary[i] * templateImaginary[i]);
+            analyticImaginary[i] = gain * (recordingImaginary[i] * templateReal[i] - recordingReal[i] * templateImaginary[i]);
+        }
+
+        this.fft(analyticReal, analyticImaginary, true);
+
+        const envelope = new Float32Array(recording.length);
+        for (let i = 0; i < envelope.length; i++)
+            envelope[i] = Math.sqrt(analyticReal[i] * analyticReal[i] + analyticImaginary[i] * analyticImaginary[i]);
+
+        return envelope;
+    },
+
+    maxInRange(values, start, end) {
+        let index = start;
+        let value = -Infinity;
+
+        for (let i = start; i < end; i++) {
+            if (values[i] <= value) continue;
+            value = values[i];
+            index = i;
+        }
+
+        return { index, value };
+    },
+
+    medianInRange(values, start, end, sampleLimit = 2048) {
+        const span = end - start;
+        if (span <= 0) return 0;
+
+        const stride = Math.max(1, Math.floor(span / sampleLimit));
+        const sampled = [];
+        for (let i = start; i < end; i += stride) sampled.push(values[i]);
+
+        sampled.sort((left, right) => left - right);
+        return sampled[sampled.length >> 1];
+    },
+
+    /**
+     * Sub-sample peak position by fitting a parabola through the peak and its neighbours. One
+     * tenth of a sample is 0.7mm of range at 48kHz, so this is most of the accuracy for free.
+     */
+    refinePeakIndex(envelope, index) {
+        if (index <= 0 || index >= envelope.length - 1) return index;
+
+        const before = envelope[index - 1];
+        const peak = envelope[index];
+        const after = envelope[index + 1];
+        const curvature = before - 2 * peak + after;
+        if (curvature === 0) return index;
+
+        const offset = (0.5 * (before - after)) / curvature;
+        return index + Math.max(-1, Math.min(1, offset));
+    },
+
+    /**
+     * First arrival in a window, not the loudest one. A reflection off a wall or table often
+     * comes back louder than the direct path, and only the direct path is the distance.
+     */
+    findFirstPeak(envelope, options = {}) {
+        const start = Math.max(0, Math.floor(options.start ?? 0));
+        const end = Math.min(envelope.length, Math.ceil(options.end ?? envelope.length));
+        if (end - start < 8) return null;
+
+        const loudest = this.maxInRange(envelope, start, end);
+        const noiseFloor = this.medianInRange(envelope, start, end);
+        const snr = noiseFloor > 0 ? loudest.value / noiseFloor : Infinity;
+        if (snr < (options.minSnr ?? 4)) return null;
+
+        // Held above the noise floor so sidelobes cannot trigger it, but well below the loudest
+        // arrival so that a reflection several times louder than the direct path cannot mask it.
+        const threshold = Math.max(
+            noiseFloor * (options.noiseMultiple ?? 6),
+            loudest.value * (options.relativeThreshold ?? 0.15)
+        );
+
+        let crossing = start;
+        while (crossing < end && envelope[crossing] < threshold) crossing++;
+        if (crossing >= end) return null;
+
+        const lobeEnd = Math.min(end, crossing + (options.lobeSamples ?? 64));
+        const arrival = this.maxInRange(envelope, crossing, lobeEnd);
+
+        return { index: this.refinePeakIndex(envelope, arrival.index), amplitude: arrival.value, snr };
+    },
+
+    /**
+     * Locate every chirp of one round in a single device's recording.
+     *
+     * The device's own chirp is the anchor: it is always present and always the loudest thing in
+     * the recording, and its position absorbs this device's own output and input latency. Every
+     * other slot is then searched relative to that anchor, so no clock agreement between devices
+     * is required — only that the chirps stay in their slots.
+     */
+    detectSlotPeaks({
+        envelope,
+        slotCount,
+        slotSamples,
+        ownSlot,
+        ownSearchStart,
+        ownSearchSamples,
+        slotHints = null,
+        peakOptions = {}
+    }) {
+        const own = this.findFirstPeak(envelope, {
+            ...peakOptions,
+            start: ownSearchStart,
+            end: ownSearchStart + ownSearchSamples
+        });
+
+        if (!own) return null;
+
+        const anchor = own.index - ownSlot * slotSamples;
+        const pad = Math.floor(slotSamples * 0.45);
+        const peaks = new Array(slotCount).fill(null);
+        peaks[ownSlot] = own;
+
+        for (let slot = 0; slot < slotCount; slot++) {
+            if (slot === ownSlot) continue;
+
+            const centre = anchor + slot * slotSamples + (slotHints?.[slot] ?? 0);
+            peaks[slot] = this.findFirstPeak(envelope, {
+                ...peakOptions,
+                start: centre - pad,
+                end: centre + pad
+            });
+        }
+
+        return { anchor, peaks };
+    },
+
+    /**
+     * Distance between two devices from four arrival indices, each measured inside the recording
+     * of the device that made it. Clock offset and audio-pipeline latency appear once with each
+     * sign and cancel; the devices' own speaker-to-microphone spacing does not, and is added back.
+     */
+    pairDistance({ a1, a2, b1, b2, sampleRate, sampleRateA, sampleRateB, speedOfSound, epsilonA = 0, epsilonB = 0 }) {
+        // Each interval is converted to seconds in its own device's sample rate before the two are
+        // subtracted: a device that hands back 44100 instead of 48000 would otherwise contribute
+        // its interval in the wrong unit.
+        const intervalA = (a2 - a1) / (sampleRateA ?? sampleRate);
+        const intervalB = (b2 - b1) / (sampleRateB ?? sampleRate);
+        return ((intervalA - intervalB) / 2) * speedOfSound + (epsilonA + epsilonB) / 2;
+    },
+
+    /**
+     * Symmetric distance matrix from one round of reports. Entries stay null where either device
+     * failed to hear one of the four chirps the pair needs.
+     */
+    buildDistanceMatrix(reports, { speedOfSound = 343, maxDistance = 40 } = {}) {
+        const count = reports.length;
+        const matrix = Array.from({ length: count }, () => new Array(count).fill(null));
+
+        for (let i = 0; i < count; i++) {
+            matrix[i][i] = 0;
+
+            for (let j = i + 1; j < count; j++) {
+                const distance = this.distanceBetween(reports[i], reports[j], speedOfSound);
+                if (distance === null || distance < -1 || distance > maxDistance) continue;
+
+                matrix[i][j] = Math.max(0, distance);
+                matrix[j][i] = matrix[i][j];
+            }
+        }
+
+        return matrix;
+    },
+
+    distanceBetween(deviceA, deviceB, speedOfSound) {
+        const a1 = deviceA.peaks[deviceA.slot];
+        const a2 = deviceA.peaks[deviceB.slot];
+        const b1 = deviceB.peaks[deviceA.slot];
+        const b2 = deviceB.peaks[deviceB.slot];
+        if (a1 === null || a2 === null || b1 === null || b2 === null) return null;
+
+        return this.pairDistance({
+            a1,
+            a2,
+            b1,
+            b2,
+            sampleRateA: deviceA.sampleRate,
+            sampleRateB: deviceB.sampleRate,
+            speedOfSound,
+            epsilonA: deviceA.epsilon ?? 0,
+            epsilonB: deviceB.epsilon ?? 0
+        });
+    },
+
+    /**
+     * Largest set of devices linked by measured distances. Anything outside it cannot be placed
+     * relative to the others, and leaving it in makes the completed matrix infinite.
+     */
+    largestConnectedComponent(matrix) {
+        const unvisited = new Set(matrix.map((_, index) => index));
+        let largest = [];
+
+        while (unvisited.size > 0) {
+            const component = [];
+            const queue = [unvisited.values().next().value];
+            unvisited.delete(queue[0]);
+
+            while (queue.length > 0) {
+                const current = queue.pop();
+                component.push(current);
+
+                for (const next of unvisited)
+                    if (matrix[current][next] !== null) {
+                        unvisited.delete(next);
+                        queue.push(next);
+                    }
+            }
+
+            if (component.length > largest.length) largest = component;
+        }
+
+        return largest.sort((left, right) => left - right);
+    },
+
+    /**
+     * Drop devices whose distances are geometrically impossible. One device reporting a bad peak
+     * distorts the whole layout, so the worst triangle-inequality offender is removed and the
+     * check repeated. Below four devices there is no redundancy left and nothing can be checked.
+     */
+    rejectOutliers(matrix, candidates, tolerance = 0.5) {
+        const keep = [...candidates];
+
+        while (keep.length > 3) {
+            const violations = this.countTriangleViolations(matrix, keep, tolerance);
+            const worst = violations.reduce((best, count, index) => (count > violations[best] ? index : best), 0);
+            if (violations[worst] === 0) break;
+
+            keep.splice(worst, 1);
+        }
+
+        return keep;
+    },
+
+    submatrix(matrix, indices) {
+        return indices.map(row => indices.map(column => matrix[row][column]));
+    },
+
+    countTriangleViolations(matrix, keep, tolerance) {
+        const violations = new Array(keep.length).fill(0);
+
+        for (let i = 0; i < keep.length; i++) {
+            for (let j = i + 1; j < keep.length; j++) {
+                for (let k = j + 1; k < keep.length; k++) {
+                    const sides = [matrix[keep[i]][keep[j]], matrix[keep[j]][keep[k]], matrix[keep[i]][keep[k]]];
+                    if (sides.some(side => side === null)) continue;
+
+                    const longest = Math.max(...sides);
+                    const perimeter = sides.reduce((sum, side) => sum + side, 0);
+                    if (longest <= perimeter - longest + tolerance) continue;
+
+                    violations[i]++;
+                    violations[j]++;
+                    violations[k]++;
+                }
+            }
+        }
+
+        return violations;
+    },
+
+    /** Fill gaps with the shortest known path between the two devices so MDS gets a full matrix. */
+    completeMatrix(matrix) {
+        const count = matrix.length;
+        const filled = matrix.map(row => row.map(value => (value === null ? Infinity : value)));
+
+        for (let via = 0; via < count; via++)
+            for (let i = 0; i < count; i++)
+                for (let j = 0; j < count; j++)
+                    filled[i][j] = Math.min(filled[i][j], filled[i][via] + filled[via][j]);
+
+        return filled;
+    },
+
+    /** Jacobi eigendecomposition of a symmetric matrix. Returns eigenvalues and column vectors. */
+    symmetricEigen(matrix, maxSweeps = 100, tolerance = 1e-14) {
+        const count = matrix.length;
+        const working = matrix.map(row => Float64Array.from(row));
+        const vectors = Array.from({ length: count }, (_, i) => {
+            const column = new Float64Array(count);
+            column[i] = 1;
+            return column;
+        });
+
+        for (let sweep = 0; sweep < maxSweeps; sweep++) {
+            if (this.offDiagonalMagnitude(working) < tolerance) break;
+
+            for (let p = 0; p < count - 1; p++)
+                for (let q = p + 1; q < count; q++)
+                    this.rotateOut(working, vectors, p, q);
+        }
+
+        return {
+            values: working.map((row, i) => row[i]),
+            vectors
+        };
+    },
+
+    offDiagonalMagnitude(matrix) {
+        let total = 0;
+
+        for (let i = 0; i < matrix.length; i++)
+            for (let j = i + 1; j < matrix.length; j++) total += matrix[i][j] * matrix[i][j];
+
+        return total;
+    },
+
+    rotateOut(matrix, vectors, p, q) {
+        if (Math.abs(matrix[p][q]) < 1e-300) return matrix;
+
+        const theta = (matrix[q][q] - matrix[p][p]) / (2 * matrix[p][q]);
+        const sign = theta >= 0 ? 1 : -1;
+        const tangent = sign / (Math.abs(theta) + Math.sqrt(theta * theta + 1));
+        const cosine = 1 / Math.sqrt(tangent * tangent + 1);
+        const sine = tangent * cosine;
+        const count = matrix.length;
+
+        for (let k = 0; k < count; k++) {
+            const left = matrix[k][p];
+            const right = matrix[k][q];
+            matrix[k][p] = cosine * left - sine * right;
+            matrix[k][q] = sine * left + cosine * right;
+        }
+
+        for (let k = 0; k < count; k++) {
+            const left = matrix[p][k];
+            const right = matrix[q][k];
+            matrix[p][k] = cosine * left - sine * right;
+            matrix[q][k] = sine * left + cosine * right;
+        }
+
+        for (let k = 0; k < count; k++) {
+            const left = vectors[k][p];
+            const right = vectors[k][q];
+            vectors[k][p] = cosine * left - sine * right;
+            vectors[k][q] = sine * left + cosine * right;
+        }
+
+        return matrix;
+    },
+
+    /**
+     * Classical multidimensional scaling: coordinates whose pairwise distances best reproduce the
+     * matrix. The result is only defined up to rotation, translation and mirroring.
+     */
+    classicalMds(distances, dimensions = 2) {
+        const count = distances.length;
+        const squared = distances.map(row => row.map(value => value * value));
+        const rowMeans = squared.map(row => row.reduce((sum, value) => sum + value, 0) / count);
+        const grandMean = rowMeans.reduce((sum, value) => sum + value, 0) / count;
+
+        const centred = squared.map((row, i) => row.map((value, j) => -0.5 * (value - rowMeans[i] - rowMeans[j] + grandMean)));
+        const { values, vectors } = this.symmetricEigen(centred);
+        const order = values
+            .map((value, index) => ({ value, index }))
+            .sort((left, right) => right.value - left.value)
+            .slice(0, dimensions);
+
+        return Array.from({ length: count }, (_, i) =>
+            order.map(({ value, index }) => vectors[i][index] * Math.sqrt(Math.max(0, value)))
+        );
+    },
+
+    /**
+     * Rotate, mirror and translate a constellation onto a reference layout. Without this, every
+     * solve returns an arbitrary orientation and the display spins and flips between updates.
+     */
+    alignToReference(points, reference) {
+        if (!reference || reference.length !== points.length || points.length === 0) return points;
+
+        const pointCentre = this.centroid(points);
+        const referenceCentre = this.centroid(reference);
+        let best = null;
+
+        for (const mirror of [1, -1]) {
+            const candidate = this.rotateOnto(points, reference, pointCentre, referenceCentre, mirror);
+            if (!best || candidate.residual < best.residual) best = candidate;
+        }
+
+        return best.points;
+    },
+
+    centroid(points) {
+        const sum = points.reduce((total, [x, y]) => [total[0] + x, total[1] + y], [0, 0]);
+        return [sum[0] / points.length, sum[1] / points.length];
+    },
+
+    rotateOnto(points, reference, pointCentre, referenceCentre, mirror) {
+        let sineTerm = 0;
+        let cosineTerm = 0;
+
+        for (let i = 0; i < points.length; i++) {
+            const px = (points[i][0] - pointCentre[0]) * mirror;
+            const py = points[i][1] - pointCentre[1];
+            const qx = reference[i][0] - referenceCentre[0];
+            const qy = reference[i][1] - referenceCentre[1];
+            sineTerm += px * qy - py * qx;
+            cosineTerm += px * qx + py * qy;
+        }
+
+        const angle = Math.atan2(sineTerm, cosineTerm);
+        const cosine = Math.cos(angle);
+        const sine = Math.sin(angle);
+        let residual = 0;
+
+        const aligned = points.map((point, i) => {
+            const px = (point[0] - pointCentre[0]) * mirror;
+            const py = point[1] - pointCentre[1];
+            const x = px * cosine - py * sine + referenceCentre[0];
+            const y = px * sine + py * cosine + referenceCentre[1];
+            residual += (x - reference[i][0]) ** 2 + (y - reference[i][1]) ** 2;
+            return [x, y];
+        });
+
+        return { points: aligned, residual };
+    },
+
+    /**
+     * Full solve for one round: distances, connectivity, outlier rejection, then a constellation
+     * aligned onto the previous frame.
+     *
+     * <c>previousPoints</c> is indexed by report position, with null for devices that were dropped
+     * last round, so alignment survives devices coming and going.
+     */
+    solveRound(reports, { speedOfSound = 343, previousPoints = null, tolerance = 0.5 } = {}) {
+        const matrix = this.buildDistanceMatrix(reports, { speedOfSound });
+        const connected = this.largestConnectedComponent(matrix);
+        const keep = this.rejectOutliers(matrix, connected, tolerance);
+        const points = keep.length >= 2 ? this.classicalMds(this.completeMatrix(this.submatrix(matrix, keep))) : [];
+        const reference = previousPoints ? keep.map(index => previousPoints[index]) : null;
+        const alignable = reference?.length === points.length && reference.every(Boolean);
+
+        return {
+            matrix,
+            keep,
+            points: alignable ? this.alignToReference(points, reference) : points
+        };
+    }
+};
+
+if (typeof window !== "undefined") window.EchoDsp = EchoDsp;
diff --git a/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoSim.js b/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoSim.js
new file mode 100644
index 0000000..7ce08f3
--- /dev/null
+++ b/JoshHeaps.Net/wwwroot/js/EchoScripts/EchoSim.js
@@ -0,0 +1,213 @@
+/*
+ * Virtual room for exercising the real ranging pipeline without microphones. Synthesizes what
+ * each device would have recorded — propagation delay, reflections, noise, per-device clock offset
+ * and unknown output latency — then runs the same EchoDsp code the page runs.
+ */
+const EchoSim = {
+    DEFAULTS: {
+        sampleRate: 48000,
+        slotSeconds: 0.4,
+        tailSeconds: 0.5,
+        speedOfSound: 343,
+        noiseAmplitude: 0.01,
+        referenceGain: 0.5,
+        minimumPathMetres: 0.25,
+        maximumOutputLatencySeconds: 0.2,
+        chirp: { durationSeconds: 0.05, startHz: 2000, endHz: 8000 },
+        reflectionsPerPath: 2,
+        reflectionExtraRange: [0.4, 4.0],
+        reflectionGainRange: [0.2, 0.8],
+        seed: 20260730
+    },
+
+    randomGenerator(seed) {
+        let state = seed >>> 0;
+
+        return () => {
+            state = (state + 0x6d2b79f5) >>> 0;
+            let mixed = Math.imul(state ^ (state >>> 15), 1 | state);
+            mixed = (mixed + Math.imul(mixed ^ (mixed >>> 7), 61 | mixed)) ^ mixed;
+            return ((mixed ^ (mixed >>> 14)) >>> 0) / 4294967296;
+        };
+    },
+
+    separation(first, second) {
+        return Math.hypot(first[0] - second[0], first[1] - second[1]);
+    },
+
+    buildConfiguration(overrides = {}) {
+        const config = { ...this.DEFAULTS, ...overrides };
+        const count = config.positions.length;
+
+        config.chirp = { ...this.DEFAULTS.chirp, ...(overrides.chirp ?? {}) };
+        config.epsilon ??= new Array(count).fill(0.05);
+        config.clockOffsets ??= config.positions.map((_, i) => i * 7919);
+        config.outputLatencies ??= config.positions.map((_, i) => 0.02 + 0.03 * i);
+        config.scheduleJitter ??= config.positions.map((_, i) => 0.004 * i);
+        config.reflections ??= this.buildReflectionTable(config);
+        return config;
+    },
+
+    /**
+     * Multipath for every source-to-listener path independently. Giving every path the same echo
+     * would be worthless as a test: an identical bias on all four arrivals cancels out of the
+     * range formula, so a uniform echo model hides exactly the error it is supposed to expose.
+     */
+    buildReflectionTable(config) {
+        const random = this.randomGenerator(config.seed ^ 0x5f3759df);
+        const spread = (range, value) => range[0] + value * (range[1] - range[0]);
+
+        return config.positions.map(() =>
+            config.positions.map(() =>
+                Array.from({ length: config.reflectionsPerPath }, () => ({
+                    extraMetres: spread(config.reflectionExtraRange, random()),
+                    gain: spread(config.reflectionGainRange, random())
+                }))
+            )
+        );
+    },
+
+    reflectionsFor(config, source, listener) {
+        return Array.isArray(config.reflections[0]) ? config.reflections[source][listener] : config.reflections;
+    },
+
+    /** One recording per device, plus the index each device believes it started playing at. */
+    synthesizeRound(config) {
+        const { positions, sampleRate, slotSeconds, tailSeconds } = config;
+        const random = this.randomGenerator(config.seed);
+        const template = EchoDsp.makeChirp({ sampleRate, ...config.chirp });
+        const maximumOffset = Math.max(...config.clockOffsets);
+        const length = Math.ceil((positions.length * slotSeconds + tailSeconds) * sampleRate) + maximumOffset;
+
+        const devices = positions.map((_, index) => ({
+            recording: this.noiseBuffer(length, config.noiseAmplitude, random),
+            ownSearchStart: Math.round((index * slotSeconds + config.scheduleJitter[index]) * sampleRate) + config.clockOffsets[index]
+        }));
+
+        for (let source = 0; source < positions.length; source++)
+            for (let listener = 0; listener < positions.length; listener++)
+                this.mixArrivals(devices[listener].recording, template, config, source, listener);
+
+        return { devices, template };
+    },
+
+    noiseBuffer(length, amplitude, random) {
+        const buffer = new Float32Array(length);
+        for (let i = 0; i < length; i++) buffer[i] = (random() * 2 - 1) * amplitude;
+        return buffer;
+    },
+
+    mixArrivals(recording, template, config, source, listener) {
+        const emissionSeconds =
+            source * config.slotSeconds + config.scheduleJitter[source] + config.outputLatencies[source];
+        const directMetres =
+            source === listener ? config.epsilon[source] : this.separation(config.positions[source], config.positions[listener]);
+
+        const paths = [
+            { metres: directMetres, gain: 1 },
+            ...this.reflectionsFor(config, source, listener).map(({ extraMetres, gain }) => ({
+                metres: directMetres + extraMetres,
+                gain
+            }))
+        ];
+
+        for (const path of paths) {
+            const arrival = emissionSeconds + path.metres / config.speedOfSound;
+            const amplitude =
+                (config.referenceGain / Math.max(path.metres, config.minimumPathMetres)) * path.gain;
+            this.addAt(recording, template, Math.round(arrival * config.sampleRate) + config.clockOffsets[listener], amplitude);
+        }
+
+        return recording;
+    },
+
+    addAt(recording, template, offset, amplitude) {
+        const start = Math.max(0, offset);
+        const end = Math.min(recording.length, offset + template.length);
+
+        for (let i = start; i < end; i++) recording[i] += template[i - offset] * amplitude;
+
+        return recording;
+    },
+
+    /** Run every device's recording through detection and return one report per device. */
+    detectAll({ devices, template }, config) {
+        const slotSamples = Math.round(config.slotSeconds * config.sampleRate);
+        const searchSamples = Math.round(
+            (config.maximumOutputLatencySeconds + config.chirp.durationSeconds + 0.05) * config.sampleRate
+        );
+
+        return devices.map((device, slot) => {
+            const envelope = EchoDsp.matchedFilterEnvelope(device.recording, template);
+            const detected = EchoDsp.detectSlotPeaks({
+                envelope,
+                slotCount: devices.length,
+                slotSamples,
+                ownSlot: slot,
+                ownSearchStart: device.ownSearchStart,
+                ownSearchSamples: searchSamples,
+                peakOptions: config.peakOptions ?? {}
+            });
+
+            return {
+                deviceId: `sim-${slot}`,
+                slot,
+                sampleRate: config.sampleRate,
+                epsilon: config.epsilon[slot],
+                peaks: (detected?.peaks ?? new Array(devices.length).fill(null)).map(peak => peak?.index ?? null)
+            };
+        });
+    },
+
+    /** Synthesize, detect and solve, reporting recovered geometry against the ground truth. */
+    runRound(overrides = {}) {
+        const config = this.buildConfiguration(overrides);
+        const round = this.synthesizeRound(config);
+        const reports = this.detectAll(round, config);
+        const solved = EchoDsp.solveRound(reports, { speedOfSound: config.speedOfSound });
+
+        return {
+            config,
+            reports,
+            ...solved,
+            distanceErrors: this.distanceErrors(solved.matrix, config),
+            positionErrors: this.positionErrors(solved, config)
+        };
+    },
+
+    distanceErrors(matrix, config) {
+        const errors = [];
+
+        for (let i = 0; i < matrix.length; i++)
+            for (let j = i + 1; j < matrix.length; j++) {
+                const truth = this.separation(config.positions[i], config.positions[j]);
+                errors.push({
+                    pair: [i, j],
+                    truth,
+                    measured: matrix[i][j],
+                    error: matrix[i][j] === null ? null : matrix[i][j] - truth
+                });
+            }
+
+        return errors;
+    },
+
+    positionErrors({ keep, points }, config) {
+        if (points.length !== keep.length || points.length < 2) return [];
+
+        const truth = keep.map(index => config.positions[index]);
+        const aligned = EchoDsp.alignToReference(points, truth);
+        return aligned.map((point, i) => this.separation(point, truth[i]));
+    },
+
+    worstDistanceError(result) {
+        const magnitudes = result.distanceErrors.map(({ error }) => (error === null ? Infinity : Math.abs(error)));
+        return magnitudes.length === 0 ? 0 : Math.max(...magnitudes);
+    },
+
+    worstPositionError(result) {
+        return result.positionErrors.length === 0 ? Infinity : Math.max(...result.positionErrors);
+    }
+};
+
+if (typeof window !== "undefined") window.EchoSim = EchoSim;