class BandpassProcessor extends AudioWorkletProcessor { process(inputs, outputs, parameters) { const input = inputs[0]; const output = outputs[0]; const frequency = parameters.frequency; const Q = parameters.Q; for (let channel = 0; channel < input.length; channel++) { const inputChannel = input[channel]; const outputChannel = output[channel]; for (let i = 0; i < inputChannel.length; i++) { // Apply bandpass filter to inputChannel[i] and store the result in outputChannel[i] // using the provided frequency and Q parameters } } // Calculate the RMS value of the output audio data const rms = this.calculateRMS(output); // Calculate the dB values const dbValues = this.convertToDB(output); // Calculate the 10th and 90th percentile values const percentile10 = this.calculatePercentile(dbValues, 10); const percentile90 = this.calculatePercentile(dbValues, 90); // Send the processed data to the main thread this.port.postMessage({ rms, dbValues, percentile10, percentile90 }); return true; } calculateRMS(data) { let sumOfSquares = 0; for (let channel = 0; channel < data.length; channel++) { const channelData = data[channel]; for (let i = 0; i < channelData.length; i++) { sumOfSquares += channelData[i] * channelData[i]; } } const meanSquare = sumOfSquares / (data.length * data[0].length); const rms = Math.sqrt(meanSquare); return rms; } calculatePercentile(data, percentile) { const sortedData = data.slice().sort((a, b) => a - b); const index = Math.floor((percentile / 100) * sortedData.length); return sortedData[index]; } convertToDB(data) { const dbValues = []; for (let channel = 0; channel < data.length; channel++) { const channelData = data[channel]; for (let i = 0; i < channelData.length; i++) { const amplitude = Math.abs(channelData[i]); const db = 20 * Math.log10(amplitude + this.minAmplitude); dbValues.push(db); } } return dbValues; } } export default registerProcessor('bandpass-processor', BandpassProcessor);