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-rw-r--r--src/audio/dct.h3
-rw-r--r--src/audio/fft.cc43
-rw-r--r--src/audio/fft.h7
-rw-r--r--src/audio/idct.cc4
4 files changed, 57 insertions, 0 deletions
diff --git a/src/audio/dct.h b/src/audio/dct.h
index ec9f651..ca423c2 100644
--- a/src/audio/dct.h
+++ b/src/audio/dct.h
@@ -11,3 +11,6 @@
// Forward declarations
void fdct_512(const float* input, float* output);
void idct_512(const float* input, float* output);
+// IMDCT: N=512 coefficients -> 2*DCT_SIZE=1024 samples.
+// Window with Hann(1024) and OLA with hop DCT_SIZE for perfect reconstruction.
+void imdct_512(const float* input, float* output);
diff --git a/src/audio/fft.cc b/src/audio/fft.cc
index 64d7b1a..6029454 100644
--- a/src/audio/fft.cc
+++ b/src/audio/fft.cc
@@ -140,6 +140,49 @@ void dct_fft(const float* input, float* output, size_t N) {
delete[] imag;
}
+// IMDCT via FFT
+// Produces 2N time-domain samples from N MDCT coefficients.
+// Formula: x[n] = (2/N) * sum_{k=0}^{N-1} X[k] * cos(pi*(2n+1+N)*(2k+1)/(2N))
+// When windowed (Hann, length 2N) and OLA'd with hop N, gives perfect reconstruction.
+void imdct_fft(const float* input, float* output, size_t N) {
+ const float PI = 3.14159265358979323846f;
+ const size_t M = 2 * N; // output length
+
+ float* real = new float[M];
+ float* imag = new float[M];
+
+ // Pre-multiply X[k] by exp(-j*pi*(2k+1)/(4N)), build 2N complex FFT input
+ // via standard IMDCT-via-FFT algorithm (N-point complex FFT)
+ for (size_t k = 0; k < N; k++) {
+ const float angle = -PI * (2.0f * k + 1.0f) / (4.0f * N);
+ real[k] = input[k] * cosf(angle);
+ imag[k] = input[k] * sinf(angle);
+ }
+ for (size_t k = N; k < M; k++) {
+ real[k] = 0.0f;
+ imag[k] = 0.0f;
+ }
+
+ // Inverse FFT of length 2N
+ bit_reverse_permute(real, imag, M);
+ fft_radix2(real, imag, M, -1);
+ const float scale = 1.0f / (float)M;
+ for (size_t i = 0; i < M; i++) {
+ real[i] *= scale;
+ imag[i] *= scale;
+ }
+
+ // Post-multiply by 2N * exp(-j*pi*(2n+1)/(4N)) and take real part, scale by 2/N
+ const float gain = 2.0f;
+ for (size_t n = 0; n < M; n++) {
+ const float angle = -PI * (2.0f * n + 1.0f) / (4.0f * N);
+ output[n] = gain * (real[n] * cosf(angle) - imag[n] * sinf(angle));
+ }
+
+ delete[] real;
+ delete[] imag;
+}
+
// IDCT (DCT-III) via FFT - inverse of the DCT-II reordering method
// Reference: Numerical Recipes Chapter 12.3, Press et al.
void idct_fft(const float* input, float* output, size_t N) {
diff --git a/src/audio/fft.h b/src/audio/fft.h
index 8c10afd..df37ad5 100644
--- a/src/audio/fft.h
+++ b/src/audio/fft.h
@@ -32,4 +32,11 @@ void dct_fft(const float* input, float* output, size_t N);
// N must be a power of 2
void idct_fft(const float* input, float* output, size_t N);
+// IMDCT via FFT
+// Input: input[] (length N) — MDCT coefficients
+// Output: output[] (length 2*N) — time-domain samples
+// Window output with Hann(2N) and OLA with hop N for perfect reconstruction.
+// N must be a power of 2
+void imdct_fft(const float* input, float* output, size_t N);
+
#endif /* AUDIO_FFT_H_ */
diff --git a/src/audio/idct.cc b/src/audio/idct.cc
index 4566f99..7a3c489 100644
--- a/src/audio/idct.cc
+++ b/src/audio/idct.cc
@@ -9,3 +9,7 @@
void idct_512(const float* input, float* output) {
idct_fft(input, output, DCT_SIZE);
}
+
+void imdct_512(const float* input, float* output) {
+ imdct_fft(input, output, DCT_SIZE);
+}