This code defines a function `dct` (likely performing the Discrete...

August 26, 2025 at 08:37 AM

static void dct(float *out, const float *in) { int i; for (i=0;i<NB_BANDS;i++) { int j; float sum = 0; for (j=0;j<NB_BANDS;j++) { sum += in[j] * rnn_dct_table[j*NB_BANDS + i]; } out[i] = sum*sqrt(2./22); } }

This code defines a function dct (likely performing the Discrete Cosine Transform (DCT)) on an input array in, storing the results in the output array out. Here's what is happening step-by-step:

  1. Parameters:

    • in: A pointer to the input array of floating-point numbers.
    • out: A pointer to the output array that will hold the transformed values.
    • Both arrays are assumed to have at least NB_BANDS elements.
  2. Purpose:

    • Computes the DCT for NB_BANDS input values using a precomputed transformation matrix (rnn_dct_table).
  3. Algorithm:

    • Loops over each element of the output array (i ranges from 0 to NB_BANDS - 1).
    • An inner loop accumulates the dot product between the input array elements (in[j]) and the corresponding entry in the DCT matrix (rnn_dct_table).
    • rnn_dct_table[j*NB_BANDS + i] accesses the (j, i)-th element of the DCT matrix, where the matrix is stored in row-major order.
    • The result (sum) is scaled by a normalization factor (sqrt(2./22)) and stored in the output array out[i].
  4. Normalization:

    • The out[i] values are scaled by a constant normalization factor (sqrt(2./22)), which is likely dependent on the properties of this specific DCT implementation.
  5. Dependencies:

    • NB_BANDS: A constant that defines the size of the input/output arrays and the DCT matrix dimensions.
    • rnn_dct_table: A 2D array (stored as 1D in row-major order) containing the DCT coefficients.

In summary: This function computes the Discrete Cosine Transform (DCT) of an input array in of NB_BANDS elements using a precomputed DCT basis matrix (rnn_dct_table), then writes the result to the output array out. The transformation is scaled by a constant factor (sqrt(2./22)) specific to this implementation.

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