function [Output, NumSegments] = KFrame(Input, WindowLength, Window, HoppingSize) % Chopper windows the signal based on window length, shift percantage and % uses Hamming windowing technique. % 斩波算法根据窗长、移位百分率对信号进行窗口化处理，并采用了汉明加窗技术。 % Number of samples to hop.要跳的样本数 HoppingSamples = fix(WindowLength.*HoppingSize); % Number of segments.段数 NumSegments = fix(((length(Input)-WindowLength)/HoppingSamples) + 1); % Index matrix which guides the signal through chopping process. %在斩波过程中引导信号的索引矩阵。 Index = (repmat(1:WindowLength,NumSegments,1) + repmat((0:(NumSegments-1))'*HoppingSamples,1,WindowLength))'; % Final window which multiplies with original signal to give pieces of it. %最终的窗口，与原始信号相乘得到它的片段。 FinalWindow = repmat(Window,1,NumSegments); % Ta-da... Output = Input(Index).*FinalWindow; end将这段代码改为c#

以下是将 MATLAB 代码转换为 C# 代码的示例：

public static double[][] KFrame(double[] input, int windowLength, double[] window, double hoppingSize, out int numSegments)
{
    int hoppingSamples = (int)Math.Floor(windowLength * hoppingSize);
    numSegments = (int)Math.Floor((input.Length - windowLength) / (double)hoppingSamples) + 1;

    var index = new int[windowLength, numSegments];
    for (int i = 0; i < windowLength; i++)
    {
        for (int j = 0; j < numSegments; j++)
        {
            index[i, j] = i + j * hoppingSamples;
        }
    }

    var finalWindow = new double[windowLength, numSegments];
    for (int i = 0; i < windowLength; i++)
    {
        for (int j = 0; j < numSegments; j++)
        {
            finalWindow[i, j] = window[i];
        }
    }

    var output = new double[windowLength][];
    for (int i = 0; i < windowLength; i++)
    {
        output[i] = new double[numSegments];
        for (int j = 0; j < numSegments; j++)
        {
            output[i][j] = input[index[i, j]] * finalWindow[i, j];
        }
    }

    return output;
}