Programmer Guide/SPU Reference/LPCOEFS - Revision history

Jw: /* Function: */

2018-05-03T09:50:01Z

Function:

← Older revision		Revision as of 11:50, 3 May 2018
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	This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector <var>x</var> must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if <var>d</var>><code>0</code>) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech".		This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector <var>x</var> must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if <var>d</var>><code>0</code>) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech".

	Linear prediction coefficients selected by input <var>type</var>{\|		Linear prediction coefficients selected by input <var>type</var>
			{\|
	\|-		\|-
	\|value of <var>type</var>		\|value of <var>type</var>

Toni: moved Programmer Guide/SPU Reference/LPCOEFS - linear prediction coefs. to Programmer Guide/SPU Reference/LPCOEFS

2011-04-28T10:03:36Z

moved Programmer Guide/SPU Reference/LPCOEFS - linear prediction coefs. to Programmer Guide/SPU Reference/LPCOEFS

← Older revision	Revision as of 12:03, 28 April 2011
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Admin: 1 revision: Initial import

2010-11-18T16:31:54Z

1 revision: Initial import

← Older revision	Revision as of 18:31, 18 November 2010
(No difference)

193.171.195.8: initial import

2010-05-17T13:05:27Z

initial import

New page

{{DISPLAYTITLE:{{SUBPAGENAME}}}}
====LPCOEFS - linear prediction coefs.====

=====Usage:=====

<code>LPCOEFS <var>x n d type</var></code>

=====Inputs:=====

{|
|-
|x
|signal vector
|no default
|-
|n
|number of coefficients
|def=<code>20</code>
|-
|d
|pre<nowiki>-</nowiki>emphasis (differentiation factor, <code>0</code>..<code>1</code>)
|def.=<code>1</code>
|-
|type
|selects the coefficient type
|def.=<code>RC</code>
|}

=====Outputs:=====

{|
|-
|y
|coefficients (n or <var>n</var><code>+1</code> values)
|-
|alpha
|error energy
|-
|rc
|reflection coefficients
|}

=====Function:=====

This function computes the LP (linear prediction) coefficients for the speech signal x using the autocorrelation method. The signal vector <var>x</var> must be windowed before being connected to this atom. An optional pre-filtering (differentiation, if <var>d</var>><code>0</code>) is applied to the signal before the coefficients' iteration. The algorithms used in this function are based on the algorithms published by J.D.Markel and A.H.Gray in "Linear Prediction of Speech".

Linear prediction coefficients selected by input <var>type</var>{|
|-
|value of <var>type</var>
|type of coefficients stored in y
|number of coefs.
|-
|<code>0</code> or <code>AI</code>
|inverse filter coefficients
|n+1
|-
|<code>1</code> or <code>RC</code>
|reflection coefficients
|n
|-
|<code>2</code> or <code>AREA</code>
|area coefficients
|n
|-
|<code>3</code> or <code>LOGAREA</code>
|logarithmic area coefficients
|n
|}