mlib_SignalLMSFilter(3MLIBmediaLib Library Functionmlib_SignalLMSFilter(3MLIB)NAME
mlib_SignalLMSFilter, mlib_SignalLMSFilterInit_S16_S16, mlib_SignalLMS‐
FilterInit_S16S_S16S, mlib_SignalLMSFilterInit_F32_F32, mlib_SignalLMS‐
FilterInit_F32S_F32S, mlib_SignalLMSFilter_S16_S16_Sat, mlib_SignalLMS‐
Filter_S16S_S16S_Sat, mlib_SignalLMSFilter_F32_F32, mlib_SignalLMSFil‐
ter_F32S_F32S, mlib_SignalLMSFilterNonAdapt_S16_S16_Sat, mlib_Sig‐
nalLMSFilterNonAdapt_S16S_S16S_Sat, mlib_SignalLMSFilterNon‐
Adapt_F32_F32, mlib_SignalLMSFilterNonAdapt_F32S_F32S, mlib_SignalLMS‐
FilterFree_S16_S16, mlib_SignalLMSFilterFree_S16S_S16S, mlib_SignalLMS‐
FilterFree_F32_F32, mlib_SignalLMSFilterFree_F32S_F32S - least mean
square (LMS) adaptive filtering
SYNOPSIS
cc [ flag... ] file... -lmlib [ library... ]
#include <mlib.h>
mlib_status mlib_SignalLMSFilterInit_S16_S16(void **filter,
const mlib_f32 *flt,
mlib_s32 tap, mlib_f32 beta);
mlib_status mlib_SignalLMSFilterInit_S16S_S16S(void **filter,
const mlib_f32 *flt,
mlib_s32 tap, mlib_f32 beta);
mlib_status mlib_SignalLMSFilterInit_F32_F32(void **filter,
const mlib_f32 *flt,
mlib_s32 tap, mlib_f32 beta);
mlib_status mlib_SignalLMSFilterInit_F32S_F32S(void **filter,
const mlib_f32 *flt,
mlib_s32 tap, mlib_f32 beta);
mlib_status mlib_SignalLMSFilter_S16_S16_Sat(mlib_s16 *dst,
const mlib_s16 *src,
const mlib_s16 *ref, void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilter_S16S_S16S_Sat(mlib_s16 *dst,
const mlib_s16 *src,
const mlib_s16 *ref, void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilter_F32_F32(mlib_f32 *dst,
const mlib_f32 *src,
const mlib_f32 *ref, void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilter_F32S_F32S(mlib_f32 *dst,
const mlib_f32 *src,
const mlib_f32 *ref, void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilterNonAdapt_S16_S16_Sat(mlib_s16 *dst,
const mlib_s16 *src, const mlib_s16 *ref,
void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilterNonAdapt_S16S_S16S_Sat(mlib_s16 *dst,
const mlib_s16 *src, const mlib_s16 *ref,
void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilterNonAdapt_F32_F32(mlib_f32 *dst,
const mlib_f32 *src, const mlib_f32 *ref,
void *filter, mlib_s32 n);
mlib_status mlib_SignalLMSFilterNonAdapt_F32S_F32S(mlib_f32 *dst,
const mlib_f32 *src, const mlib_f32 *ref,
void *filter, mlib_s32 n);
void mlib_SignalLMSFilterFree_S16_S16(void *filter);
void mlib_SignalLMSFilterFree_S16S_S16S(void *filter);
void mlib_SignalLMSFilterFree_F32_F32(void *filter);
void mlib_SignalLMSFilterFree_F32S_F32S(void *filter);
DESCRIPTION
The basic LMS adaptive algorithm is summarized as follows:
1. Initialize the weights Wk(i), i = 0, 1, ..., tap - 1.
2. Initialize previous source elements Xo(i), i = 0, 1, ...,
tap - 1.
3. Read Xk(t) from src and Yk(t) from ref, t = 0, 1, ..., n -
1.
4. Compute filter output: nk = sum(Wk(i) * Xk(t - i)), i = 0,
1, ..., tap - 1. If i > t, use previous source elements
stored in the Xo vector.
5. Store filter output : dst[t] = nk.
6. Compute the error estimate: Ek = Yk - nk.
7. Compute factor BE0 = 2 * beta * Ek.
8. Update filter weights: Wk(i) += BE0 * Xk(t - i), i = 0, 1,
..., tap - 1. If i > t, use previous source elements stored
in Xo vector.
9. Next t, go to step 3.
10. Store N ending source elements in previous source elements
vector Xo: if N > n, N = n; else N = tap.
The functions assume that the input signal has a power maximum equal to
1. If it is not, beta should be divided by power maximum. Power maximum
is calculated according to the following formula:
flt_len
Power_max = MAX { SUM signal(n + k)**2 }
n k=0
It is necessary to consider the maximum of power maxima of both compo‐
nents as the stereo signal's power maximum.
Each of the FilterInit functions allocates memory for the internal fil‐
ter structure and converts the parameters into the internal representa‐
tion.
Each of the Filter functions applies the LMS adaptive filter on one
signal packet and updates the filter states.
Each of the FilterNoAdapt functions applies the LMS filter on one sig‐
nal packet and updates the filter states but without changing the fil‐
ter weights.
Each of the FilterFree functions releases the memory allocated for the
internal filter structure.
PARAMETERS
Each of the functions takes some of the following arguments:
filter Internal filter structure.
flt Filter coefficient array.
tap Taps of the filter.
beta Error weighting factor. 0 < beta < 1.
dst Destination signal array.
src Source signal array.
ref Reference or "desired" signal array.
n Number of samples in the source signal array.
RETURN VALUES
Each of the FilterInit, Filter and FilterNonAdapt functions returns
MLIB_SUCCESS if successful. Otherwise it returns MLIB_FAILURE. The Fil‐
terFree functions don't return anything.
ATTRIBUTES
See attributes(5) for descriptions of the following attributes:
┌─────────────────────────────┬─────────────────────────────┐
│ ATTRIBUTE TYPE │ ATTRIBUTE VALUE │
├─────────────────────────────┼─────────────────────────────┤
│Interface Stability │Committed │
├─────────────────────────────┼─────────────────────────────┤
│MT-Level │MT-Safe │
└─────────────────────────────┴─────────────────────────────┘
SEE ALSOmlib_SignalNLMSFilter(3MLIB), attributes(5)SunOS 5.10 2 Mar 2007 mlib_SignalLMSFilter(3MLIB)
