classdef LPCToAutocorrelation%LPCToAutocorrelation Convert linear prediction coefficients to%autocorrelation coefficients% HLPC2AC = signalblks.LPCToAutocorrelation returns a System object,% HLPC2AC, that converts linear prediction coefficients (LPC) to% autocorrelation coefficients.%% HLPC2AC = signalblks.LPCToAutocorrelation('PropertyName',% PropertyValue, ...) returns an LPC to autocorrelation conversion% object, HLPC2AC, with each specified property set to the specified% value.%% Step method syntax:%% AC = step(HLPC2AC, A) converts the columns of the linear prediction% coefficients, A, to autocorrelation coefficients, AC. The prediction% error power is assumed to be 1.%% AC = step(HLPC2AC, A, P) converts the columns of the linear prediction% coefficients, A, to autocorrelation coefficients, AC, using P as the% prediction error power, when the PredictionErrorInputPort property is% true. P must be a row vector with same number of columns as in A.%% LPCToAutocorrelation methods:%% step - See above description for use of this method%% LPCToAutocorrelation properties:%% PredictionErrorInputPort - Enable prediction error power input% NonUnityFirstCoefficientAction - Action to take when first LPC% coefficient is not 1%% % EXAMPLE: Convert LPC to autocorrelation coefficients.% a = [1.0 -1.4978 1.4282 -1.3930 0.9076 -0.3855 0.0711].';% hlpc2ac = signalblks.LPCToAutocorrelation;% ac = step(hlpc2ac, a);%% See also signalblks.LPCToLSF, signalblks.LPCToRC,% signalblks.LPCToCepstral, signalblks.RCToAutocorrelation. % Copyright 2009 The MathWorks, Inc. methods function out=LPCToAutocorrelation %LPCToAutocorrelation Convert linear prediction coefficients to %autocorrelation coefficients % HLPC2AC = signalblks.LPCToAutocorrelation returns a System object, % HLPC2AC, that converts linear prediction coefficients (LPC) to % autocorrelation coefficients. % % HLPC2AC = signalblks.LPCToAutocorrelation('PropertyName', % PropertyValue, ...) returns an LPC to autocorrelation conversion % object, HLPC2AC, with each specified property set to the specified % value. % % Step method syntax: % % AC = step(HLPC2AC, A) converts the columns of the linear prediction % coefficients, A, to autocorrelation coefficients, AC. The prediction % error power is assumed to be 1. % % AC = step(HLPC2AC, A, P) converts the columns of the linear prediction % coefficients, A, to autocorrelation coefficients, AC, using P as the % prediction error power, when the PredictionErrorInputPort property is % true. P must be a row vector with same number of columns as in A. % % LPCToAutocorrelation methods: % % step - See above description for use of this method % % LPCToAutocorrelation properties: % % PredictionErrorInputPort - Enable prediction error power input % NonUnityFirstCoefficientAction - Action to take when first LPC % coefficient is not 1 % % % EXAMPLE: Convert LPC to autocorrelation coefficients. % a = [1.0 -1.4978 1.4282 -1.3930 0.9076 -0.3855 0.0711].'; % hlpc2ac = signalblks.LPCToAutocorrelation; % ac = step(hlpc2ac, a); % % See also signalblks.LPCToLSF, signalblks.LPCToRC, % signalblks.LPCToCepstral, signalblks.RCToAutocorrelation. end end properties %NonUnityFirstCoefficientAction Action to take when first LPC % coefficient is not 1 % Specify the action that the System object should take when the % first coefficient of each channel of the LPC input is not 1 as one % of [{'Replace with 1'} | 'Normalize']. NonUnityFirstCoefficientAction; %PredictionErrorInputPort Enable prediction error power input % Choose how to select the prediction error power. When this property % is set to true, the prediction error power must be specified as a % second input to the step method. When this property is set to false, % the prediction error power is assumed to be 1. By default, the % property is false. PredictionErrorInputPort; endend