Capsim Block Documentation
This star computes the LPC parameters of the input samples.
| Port | Type | Name | |
|---|---|---|---|
| 0 | float | x |
| Num | Type | Name | Initial Value | Description |
|---|---|---|---|---|
| 0 | int | n | ||
| 1 | int | numberOfOutputs | ||
| 2 | float* | x_P | ||
| 3 | FILE* | fp |
int i; int j; int nrot; float tmp1,tmp2; float a_A[21]; float rc_A[21]; float alpha; float* vector(); int result; float realAz,imgAz,Az; float theta,dtheta; |
|---|
if(m > 20) {
fprintf(stderr,"lpc: Order > 20 \n");
return(2);
}
numberOfOutputs=NO_OUTPUT_BUFFERS();
if(numberOfOutputs > 1) {
fprintf(stderr,"lpc: Number of Outputs > 1 \n");
return(1);
}
/*
* Initialize the tapped delay line to zero.
*
*/
x_P=vector(N);
for (i=0; i |
|---|
while(IT_IN(0)) {
n += 1 ;
/*
* Shift input sample into tapped delay line
*/
tmp2=x(0);
for(i=0; i |
|---|
/* * close the file */ if(strcmp(fileName,"stdout") != 0) fclose(fp); |
|---|
/* Capsim (r) Text Mode Kernel (TMK) Star Library (Blocks)
Copyright (C) 1989-2002 XCAD Corporation
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public
License along with this library; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
http://capsimtmk.sourceforge.net
XCAD Corporation
Raleigh, North Carolina */
|
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/* lpc.s */
/***********************************************************************
lpc()
************************************************************************
This star computes the LPC parameters of the input samples.
The method is based on the routines of "Linear Prediction Analysis
Programs (AUTO-COVAR)", by A. H. Gray and J.D. Markel in IEEE Press
Programs for Digital Signal Processing.
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