The description of a novel linear prediction (LP) model-based coding technique was presented, where the advantages of multiple non-orthogonal domain representations of LP coefficients and the residuals were exploited in conjunction with vector quantisation. The LP model-based coding was applied to speech signals and the resulting improvement in performance was demonstrated in terms of the reconstruction quality. Sample results using speech signals exhibited improved reconstruction quality which was achieved at the cost of a moderate increase in the computation associated with the representation of the signals in multiple domains
In this study, we have attempted to study the multichannel two-dimensional linear prediction problem...
Experimental results of the quantization of Linear Predictive Coded (LPC) coefficients using two gen...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
A novel linear prediction (LP) model-bused coding technique is presented. where the advantages of mu...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
An iterative algorithm for codebook accuracy enhancement, applicable to waveform and linear predicti...
This thesis examines techniques of efficiently coding Linear Predictive Coding (LPC) coefficients wi...
The design and implementation of vector quantizers have recently attracted considerable atten-tion i...
Linear predictive coding (LPC) is employed in many low bit rate speech coders. LPC models the short-...
In this paper, we consider vector quantization of excitation gains in code-excited linear predictive...
In Linear Predictive Coding algorithms, the coding of the speech signal consists of two separate sta...
Speech coding is a very important area that finds civilian and military applications. It deals with ...
Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which...
From the early pulse code modulation-based coders to some of the recent multi-rate wideband speech c...
In this study, we have attempted to study the multichannel two-dimensional linear prediction problem...
Experimental results of the quantization of Linear Predictive Coded (LPC) coefficients using two gen...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...
A novel linear prediction (LP) model-bused coding technique is presented. where the advantages of mu...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
Linear prediction (LP) is a powerful technique for efficient source-system model based representatio...
An iterative algorithm for codebook accuracy enhancement, applicable to waveform and linear predicti...
This thesis examines techniques of efficiently coding Linear Predictive Coding (LPC) coefficients wi...
The design and implementation of vector quantizers have recently attracted considerable atten-tion i...
Linear predictive coding (LPC) is employed in many low bit rate speech coders. LPC models the short-...
In this paper, we consider vector quantization of excitation gains in code-excited linear predictive...
In Linear Predictive Coding algorithms, the coding of the speech signal consists of two separate sta...
Speech coding is a very important area that finds civilian and military applications. It deals with ...
Linear predictive coding (LPC) is defined as a digital method for encoding an analog signal in which...
From the early pulse code modulation-based coders to some of the recent multi-rate wideband speech c...
In this study, we have attempted to study the multichannel two-dimensional linear prediction problem...
Experimental results of the quantization of Linear Predictive Coded (LPC) coefficients using two gen...
The goal of this thesis is to modify the traditional linear prediction (LP) analysis in such way tha...