Energy-Based Split Vector Quantizer Employing Signal Representation in Multiple Transform Domains

Energy-Based Split Vector Quantizer Employing Signal Representation in Multiple Transform Domains

Vector Quantizer Signal Transform

This paper deals with the problem of combination of Neural Networks (NN) and traditional statistical pattern classiiers. It is shown that a Neural Network can be used to replace the vector quantizer (VQ) and some feature extraction and feature reduction modules in a discrete pattern recognition system. A criterion for training the NN-weights and the classiier jointly is derived, leading to the ...

Multi Switched Split Vector Quantizer

Vector quantization is a powerful tool for speech coding applications. This paper deals with LPC Coding of speech signals which uses a new technique called Multi Switched Split Vector Quantization, This is a hybrid of two product code vector quantization techniques namely the Multi stage vector quantization technique, and Switched split vector quantization technique,. Multi Switched Split Vecto...

Index Mapping for Robust Multiple Description Lattice Vector Quantizer INDEX MAPPING FOR ROBUST MULTIPLE DESCRIPTION LATTICE VECTOR QUANTIZER

Multiple Description Coding (MDC) is a source coding technique which generates several descriptions of a signal such that the reconstruction gradually refines with the number of decoded descriptions. Conventionally, the design of MDC has largely focused on combating the description loss. This thesis considers the construction of robust multiple description lattice vector quantizers (MDLVQ) by a...

Vector quantizer based on brightness maps for image compression with the polynomial transform

We present a vector quantization scheme acting on brightness fields based on distance/distortion criteria correspondent with psycho-visual aspects. These criteria quantify sensorial distortion between vectors that represent either portions of a digital image or alternatively, coefficients of a transform-based coding system. In the latter case, we use an image representation model, namely the He...