The basic vector quantization (VQ) technique employed in video coding belongs to the category of predictive vector quantization (PVQ), as it involves quantization of the (motion compensated) frame prediction error. It is well known that the design of PVQ suffers from fundamental difficulties, due to the prediction loop, which have an impact on the convergence and the stability of the design pro...

Image compression with DCT, quantization encoding method transform coding is widely used in image processing technique, however in these transformations the 2-D images are divided into sub-blocks and each block is transformed separately and into elementary frequency components. There frequency components (DC & AC) are reducing to zero during the process of quantization which is a lossy process....

A harmonic coder extracts the harmonic components of a signal and represents them efficiently using a few parameters. The principles of harmonic coding have become quite successful and several standardized speech and audio coders are based on it. One of the key issues in harmonic coder design is in the quantization of harmonic magnitudes, where many propositions have appeared in the literature....

This paper describes a new segmentation and quantization technique for low bit-rate speech coders. Bit-rate reduction is achieved by combining segmentation and quantization, where a segment consists of one or more adjacent frames. The algorithm for selecting and quantizing segments from a pre-determined number of frames extends the frame-based trellis techniques. It models the input speech as a...

A new 1200 bps speech coder designed with a tree searched multistage matrix quantization scheme is proposed. To improve speech quality and reduce the average bit rate, we have developed a new residual multistage matrix quantization method with the joint design technique. The new joint design algorithm reduces the codebook training complexity. Other new techniques for improving the performance i...

This paper proposes novel lossy image compression technique using hybrid wavelet transform and vector quantization. First hybrid wavelet transform consisting of two different component transforms is generated and applied on color images. Discrete Kekre transform (DKT) and Discrete Cosine transform (DCT) play role of base and local transform respectively in hybrid wavelet transform. In transform...

In this paper, we present a method for simplification of arbitrary 3D meshes that is based on Isotropic Quantization of face-normal vectors. There are three stages. Firstly, a codebook that contains the unique face-normal vectors of the 3D mesh is generated using our Ellipsoidal Schema. Secondly, the polygons of the mesh are grouped into patches: based on the codebook vectors and the locality i...

Reinforcement learning has proven to be a set of successful techniques for finding optimal policies on uncertain and/or dynamic domains, such as the RoboCup. One of the problems on using such techniques appears with large state and action spaces, as it is the case of input information coming from the Robosoccer simulator. In this paper, we describe a new mechanism for solving the states general...

This work proposes a novel pre-distortion technique for the quantization noise cancellation of fractional-N frequency synthesizers. The proposed technique utilizes the coordinate rotation digital computer (CORDIC) algorithm to pre-distort the baseband signal of a wireless system with the quantization noise. The pre-distorted signal then modulates the noisy output signal of the fractional-N freq...

In this paper, we propose a new approach for optimization in digital audio watermarking using artificial intelligent technique. The watermarks are embedded into the low frequency coefficients in discrete multiwavelet transform domain. The embedding technique is based on quantization process which does not require the original audio signal in the watermark extraction. We have developed an optimi...