Author: Christopher F. BarnesPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages :
Book Description
Adaptive Residual Vector Quantization for Waveform Coding
Author: Christopher F. BarnesPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages :
Book Description
Vector Quantization
Author: Hüseyin AbutPublisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 584
Book Description
Entropy Coded Rate-distortion Adaptive Residual Vector Quantization
Author: Li GaoPublisher:
ISBN:
Category : Geometric quantization
Languages : en
Pages : 86
Book Description
Vector Quantization and Signal Compression
Author: Allen GershoPublisher: Springer Science & Business Media
ISBN: 146153626X
Category : Technology & Engineering
Languages : en
Pages : 737
Book Description
Herb Caen, a popular columnist for the San Francisco Chronicle, recently quoted a Voice of America press release as saying that it was reorganizing in order to "eliminate duplication and redundancy. " This quote both states a goal of data compression and illustrates its common need: the removal of duplication (or redundancy) can provide a more efficient representation of data and the quoted phrase is itself a candidate for such surgery. Not only can the number of words in the quote be reduced without losing informa tion, but the statement would actually be enhanced by such compression since it will no longer exemplify the wrong that the policy is supposed to correct. Here compression can streamline the phrase and minimize the em barassment while improving the English style. Compression in general is intended to provide efficient representations of data while preserving the essential information contained in the data. This book is devoted to the theory and practice of signal compression, i. e. , data compression applied to signals such as speech, audio, images, and video signals (excluding other data types such as financial data or general purpose computer data). The emphasis is on the conversion of analog waveforms into efficient digital representations and on the compression of digital information into the fewest possible bits. Both operations should yield the highest possible reconstruction fidelity subject to constraints on the bit rate and implementation complexity.
Adaptive Vector Quantization for the Coding of Nonstationary Sources
Author: James Edwin FowlerWavelet Based Adaptive Vector Quantization for Image and Video Coding
Author: Stathis P. VoukelatosAdaptive Vector Quantization on Image Sequence Coding
Author: Kyminh LiangPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 220
Book Description
Adaptive Signal Processing
Author: L.D. DavissonPublisher: Springer
ISBN: 3709128404
Category : Computers
Languages : en
Pages : 206
Book Description
The four chapters of this volume, written by prominent workers in the field of adaptive processing and linear prediction, address a variety of problems, ranging from adaptive source coding to autoregressive spectral estimation. The first chapter, by T.C. Butash and L.D. Davisson, formulates the performance of an adaptive linear predictor in a series of theorems, with and without the Gaussian assumption, under the hypothesis that its coefficients are derived from either the (single) observation sequence to be predicted (dependent case) or a second, statistically independent realisation (independent case). The contribution by H.V. Poor reviews three recently developed general methodologies for designing signal predictors under nonclassical operating conditions, namely the robust predictor, the high-speed Levinson modeling, and the approximate conditional mean nonlinear predictor. W. Wax presents the key concepts and techniques for detecting, localizing and beamforming multiple narrowband sources by passive sensor arrays. Special coding algorithms and techniques based on the use of linear prediction now permit high-quality voice reproduction at remorably low bit rates. The paper by A. Gersho reviews some of the main ideas underlying the algorithms of major interest today.
Linear Predictive Coding Codebook Enhancement Using Vector Quantization
Author: Steven J. MathiasSingle-pass Adaptive Vector Quantization
Author: Cornel ConstantinescuPublisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 112
Book Description