Modules

Here is a list of all modules:

Common definitions	This module consists of definitions (macros, structures, utility functions) that are commonly applicable to all DSPLIB kernels
DSPLIB_add	Kernel for adding two input vector data
DSPLIB_addConstant	Kernel for adding input constant with an vector input
DSPLIB_bexp	The bexp kernel, performs a determination of the block exponent of the vector of elements and returns the maximum exponent
DSPLIB_blk_eswap	Kernel for endian-swap of all input data
DSPLIB_blk_move	This Kernel moves elements from one memory location pointed to by pIn to another pointed to by pOut
DSPLIB_cascadeBiquad	Kernel for multichannel multistage cascade on input data
DSPLIB_cholesky	Kernel for performing Cholesky Decomposition of a matrix
DSPLIB_cholesky_inplace	Kernel for computing Inplace Cholesky Decomposition
DSPLIB_cholesky_solver	Kernel for computing Cholesky Solver
DSPLIB_dotp_sqr	Kernel calculates the dot product of 2 vectors and the square add of the second vectors. It supports the following datatypes:
DSPLIB_dotprod	Kernel calculates the dot product of 2 vectors. It supports the following datatypes:
DSPLIB_fir	Kernel for convolving input data with an input filter
DSPLIB_fltoq15	This Kernel converts the IEEE floating point numbers stored in vector pIn into Q.15 format numbers and stores in vector pOut
DSPLIB_lud	Kernel for LU decomposition of input matrix
DSPLIB_lud_inv	Kernel for transpose of input matrix
DSPLIB_lud_sol	Kernel for transpose of input matrix
DSPLIB_matMul	Kernel for multiplying two matrices
DSPLIB_matMul_fixed	Kernel for multiplying two matrices
DSPLIB_mat_submat_copy	Kernel for sub matrix copy
DSPLIB_mat_trans	Kernel for transpose of input matrix
DSPLIB_max	Kernel for finding maximum value within an input data vector
DSPLIB_maxEvery	Kernel for max input data between two vectors
DSPLIB_maxIndex	Kernel to find the index of the first instance of the maximum value in an input vector
DSPLIB_min	Kernel for finding minimum value within an input data vector
DSPLIB_minEvery	Kernel for min input data between two vectors
DSPLIB_minIndex	Kernel to find the index of the first instance of the minimum value in an input vector
DSPLIB_minerror	Performs a dot product on 256 pairs of 9 element vectors and searches for the pair of vectors which produces the maximum dot product result and returns the value of the highest dot product. This is a large part of the Vector sum excited linear prediction (VSELP) vocoder codebook search
DSPLIB_mul	Kernel for multiplying two input vector data
DSPLIB_mulConstant	Kernel for multiplying input constant with an vector input
DSPLIB_negate	Kernel for negating the values contained in input data vector
DSPLIB_q15tofl	Kernel Converts the values stored in vector pIn in Q.15 format to IEEE floating point numbers (Single & Double Precision) in output vector pOut
DSPLIB_qrd	Kernel for QR decomposition of input matrix
DSPLIB_qrd_inverse	Kernel for find the inverse of a matrix from Q and R matrices
DSPLIB_qrd_solver	Kernel for find the solution of linear equation using Q and R matrices
DSPLIB_recip	Kernel for computing the reciprocal of input data vector
DSPLIB_sqr	Kernel for computing the squared input data vector
DSPLIB_sqrAdd	Kernel for computing the sum of the squared values of input data vector. It supports the following datatypes:
DSPLIB_sub	Kernel for subtracting two input vector data
DSPLIB_subConstant	Kernel for subtracting a input constant by an input data vector
DSPLIB_svd	Kernel for calculating Singular Value Decomposition (SVD)
DSPLIB_svd_small	Kernel for calculating Singular Value Decomposition (SVD)
DSPLIB_w_vec	Kernel for weighted addition of two input vector data