mmserv

commit 4201d798c4b892d561234fe29e15c572cd746bb0
parent 9e16b7b251ffe03d04b123c52e453d9cd99410e0
Author: Egor Achkasov <eaachkasov@edu.hse.ru>
Date:   Fri, 24 Jan 2025 13:00:40 +0100

Rm misc functions from the header

Diffstat:
M
include/mmserv.h
 | 
105
++++---------------------------------------------------------------------------

1 file changed, 5 insertions(+), 100 deletions(-)
diff --git a/include/mmserv.h b/include/mmserv.h
@@ -14,6 +14,10 @@ typedef struct {
   data_t* im;
 } vcomplex;
 
+/*
+ * MMSE
+ */
+
 /** Calculate MMSE estimation of x in y = H*x + n
  * \param H matrix of channel coefficients. Shape [NUM_RX_ANT][NUM_TX_ANT][NUM_SC]
  * \param y received signal. Shape [NUM_RX_ANT][NUM_SC]
@@ -39,107 +43,8 @@ void mmse_nosqrt(
   OUT vcomplex *x_MMSE);
 
 /*
- * Complex matrix operations
- */
-
-/** Calculate the Hermitian transpose of a matrix A
- * \param A input matrix. Shape [NUM_RX_ANT][NUM_TX_ANT][NUM_SC]
- * \param AH output matrix. Shape [NUM_TX_ANT][NUM_RX_ANT][NUM_SC]
- */
-void cmat_hermitian_transpose_RxTx(
-  IN vcomplex *A,
-  OUT vcomplex *AH);
-
-/** Calculate the Hermitian transpose of a matrix A
- * \param A input matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param AH output matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- */
-void cmat_hermitian_transpose_TxTx(
-  IN vcomplex *A,
-  OUT vcomplex *AH);
-
-/** Multiply two matrices A and B
- * \param A input matrix. Shape [NUM_TX_ANT][NUM_RX_ANT][NUM_SC]
- * \param B input matrix. Shape [NUM_RX_ANT][NUM_TX_ANT][NUM_SC]
- * \param result output matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- */
-void cmatmul_TxRx_RxTx(
-  IN vcomplex *A,
-  IN vcomplex *B,
-  OUT vcomplex *result);
-
-/** Multiply two matrices A and B
- * \param A input matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param B input matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param result output matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- */
-void cmatmul_TxTx_TxTx(
-  IN vcomplex *A,
-  IN vcomplex *B,
-  OUT vcomplex *result);
-
-/** Add two matrices A and B
- * \param A input matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param B input matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param result output matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- */
-void cmatadd_TxTx(
-  IN vcomplex *A,
-  IN vcomplex *B,
-  OUT vcomplex *result);
-
-/** Perfom Cholesky decomposition of a square matrix A
- * such that A = L*L^H with Cholesky–Banachiewicz algorithm
- * \param A input square matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param L output lower triangular matrix L. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- */
-void ccholesky_TxTx(
-  IN vcomplex *A,
-  OUT vcomplex *L);
-
-/** Perfom Cholesky decomposition of a square matrix A
- * such that A = L*D*L^H with Cholesky–Banachiewicz algorithm,
- * where D is a diagonal matrix and
- * L is a lower triangular matrix with ones on the diagonal.
- * This function does not calculate use csqrt and sqrt functions.
- * \param A input square matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param L output lower triangular matrix L. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param D output diagonal of the diagonal matrix D. Shape [NUM_TX_ANT][NUM_SC]
- */
-void ccholesky_nosqrt_TxTx(
-  IN vcomplex *A,
-  OUT vcomplex *L,
-  OUT vcomplex *D);
-
-/** Multiply a matrix A with a vector b
- * \param A input matrix. Shape [NUM_TX_ANT][NUM_RX_ANT][NUM_SC]
- * \param b input vector. Shape [NUM_RX_ANT][NUM_SC]
- * \param result output vector. Shape [NUM_TX_ANT][NUM_SC]
- */
-void cmatvecmul_TxRx(
-  IN vcomplex *A,
-  IN vcomplex *b,
-  OUT vcomplex *result);
-
-/** Find z from L*z = b with a forward substitution
- * \param L lower triangular matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param b rhs vector. Shape [NUM_TX_ANTS][NUM_SC]
- * \param result output vector z. Shape [NUM_TX_ANT][NUM_SC]
- */
-void cforwardsub_TxTx(
-  IN vcomplex *L,
-  IN vcomplex *b,
-  OUT vcomplex *result);
-
-/** Find x from U*x = b with a backward substitution
- * \param U upper triangular matrix. Shape [NUM_TX_ANT][NUM_TX_ANT][NUM_SC]
- * \param b rhs vector. Shape [NUM_TX_ANTS][NUM_SC]
- * \param result output vector x. Shape [NUM_TX_ANT][NUM_SC]
+ * MSE
  */
-void cbackwardsub_TxTx(
-  IN vcomplex *U,
-  IN vcomplex *b,
-  OUT vcomplex *result);
 
 /** Calculate mean squared error between the original x and the estimated x
  * \param x original x. Shape [NUM_TX_ANT][NUM_SC]