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mlib_signallpccovariancefree_s16(3mlib) [sunos man page]

mlib_SignalLPCCovarianceFree_S16(3MLIB) 		    mediaLib Library Functions			   mlib_SignalLPCCovarianceFree_S16(3MLIB)

NAME
mlib_SignalLPCCovarianceFree_S16, mlib_SignalLPCCovarianceFree_F32 - clean up for covariance method SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> void mlib_SignalLPCCovarianceFree_S16(void *state); void mlib_SignalLPCCovarianceFree_F32(void *state); DESCRIPTION
Each of these functions frees the internal state structure for covariance method of linear predictive coding (LPC). This function cleans up the internal state structure and releases all memory buffers. PARAMETERS
Each of the functions takes the following arguments: state Pointer to the internal state structure. RETURN VALUES
None. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Evolving | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_SignalLPCCovarianceInit_S16(3MLIB), mlib_SignalLPCCovarianceInit_F32(3MLIB), mlib_SignalLPCCovariance_S16(3MLIB), mlib_SignalLPCCo- variance_S16_Adp(3MLIB), mlib_SignalLPCCovariance_F32(3MLIB), attributes(5) SunOS 5.10 9 Nov 2004 mlib_SignalLPCCovarianceFree_S16(3MLIB)

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mlib_SignalLPCCovariance_F32(3MLIB)			    mediaLib Library Functions			       mlib_SignalLPCCovariance_F32(3MLIB)

NAME
mlib_SignalLPCCovariance_F32 - perform linear predictive coding with covariance method SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ] #include <mlib.h> mlib_status mlib_SignalLPCCovariance_F32(mlib_f32 *coeff, const mlib_f32 *signal, void *state); DESCRIPTION
The mlib_SignalLPCCovariance_F32() function performs linear predictive coding with covariance method. In linear predictive coding (LPC) model, each speech sample is represented as a linear combination of the past M samples. M s(n) = SUM a(i) * s(n-i) + G * u(n) i=1 where s(*) is the speech signal, u(*) is the excitation signal, and G is the gain constants, M is the order of the linear prediction fil- ter. Given s(*), the goal is to find a set of coefficient a(*) that minimizes the prediction error e(*). M e(n) = s(n) - SUM a(i) * s(n-i) i=1 In covariance method, the coefficients can be obtained by solving following set of linear equations. M SUM a(i) * c(i,k) = c(0,k), k=1,...,M i=1 where N-k-1 c(i,k) = SUM s(j) * s(j+k-i) j=0 are the covariance coefficients of s(*), N is the length of the input speech vector. Note that the covariance matrix R is a symmetric matrix, and the equations can be solved efficiently with Cholesky decomposition method. See Fundamentals of Speech Recognition by Lawrence Rabiner and Biing-Hwang Juang, Prentice Hall, 1993. PARAMETERS
The function takes the following arguments: coeff The linear prediction coefficients. signal The input signal vector. state Pointer to the internal state structure. RETURN VALUES
The function returns MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE. ATTRIBUTES
See attributes(5) for descriptions of the following attributes: +-----------------------------+-----------------------------+ | ATTRIBUTE TYPE | ATTRIBUTE VALUE | +-----------------------------+-----------------------------+ |Interface Stability |Committed | +-----------------------------+-----------------------------+ |MT-Level |MT-Safe | +-----------------------------+-----------------------------+ SEE ALSO
mlib_SignalLPCCovarianceInit_F32(3MLIB), mlib_SignalLPCCovarianceFree_F32(3MLIB), attributes(5) SunOS 5.11 2 Mar 2007 mlib_SignalLPCCovariance_F32(3MLIB)
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