将如下matlab代码转成C语言代码 function H = DataCalibration(H) [N, ~] = size(H); for i = 1 : N H(i, :) = H(i, :) - hampel(H(i, :), 150, 0.001); H(i, :) = hampel(H(i, :), 6, 0.01); end %% 样本降噪 if person_Num(sample_idx) > 1 PD = DataCalibration(PD); else for i = 1 : size(PD, 1) % PD(i, :) = sgolayfilt(PD(i, :), 3, 41); % PD(i, :) = sgolayfilt(PD(i, :), 3, 7); [A, B] = butter(4, [6/(Nt/2) 50/(Nt/2)]); PD(i, :) = filter(A, B, PD(i, :)); plot(PD(i, :)) end end

以下是将该 Matlab 代码转换为 C 语言代码的步骤：

1. 定义函数头和输入参数

void DataCalibration(double **H, int N);

2. 实现函数

void DataCalibration(double **H, int N) {
    int len = 0;
    double *tmp = NULL;
    for (int i = 0; i < N; i++) {
        len = sizeof(H[i]) / sizeof(H[i][0]);
        tmp = hampel(H[i], len, 150, 0.001);
        for (int j = 0; j < len; j++) {
            H[i][j] = H[i][j] - tmp[j];
        }
        free(tmp);
        tmp = hampel(H[i], len, 6, 0.01);
        for (int j = 0; j < len; j++) {
            H[i][j] = tmp[j];
        }
        free(tmp);
    }
    if (person_Num(sample_idx) > 1) {
        DataCalibration(PD, N);
    } else {
        for (int i = 0; i < N; i++) {
            int len = sizeof(PD[i]) / sizeof(PD[i][0]);
            double A[5] = {0.0}, B[5] = {0.0};
            butterworth(4, 6.0 / (Nt / 2), 50.0 / (Nt / 2), A, B);
            tmp = filter(PD[i], len, A, B);
            for (int j = 0; j < len; j++) {
                PD[i][j] = tmp[j];
            }
            free(tmp);
        }
    }
}

其中，`hampel` 函数和 `butterworth` 函数需要自己实现。