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.publisher:Publishing House of Electronics Industry.description:Paperback. Pub Date :2012-10-01 Publisher: Electronic Industry Press Only genuine brand new book No pictures. Baidu matching pictures (check title ISBN Pricing Press); only for the puerile (not also Price can not ). equivalent textbook orders free
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Digital TV Engineering Books: digital television source coding technology and applications(Chinese Edition)
ISBN 10 : 7121186217
ISBN 13 : 9787121186219
Neuf
paperback
Vendeur : liu xing, Nanjing, JS, Chine
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paperback. Etat : New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Pub Date: October 2012 Pages: 343 in Publisher: sources in the usual sense of the Publishing House of Electronics Industry refers to contain certain information analog or digital signals. Source coding techniques is to use as little as possible the flow of data to express the information of the source. while making it suitable for a digital transmission system. Involved in the major indices of the source the pronunciation video signal. In recent years. with the rapid development of the Internet and wireless communication technology. the compression of audio and video information transfer and storage technologies increasingly broad application areas. Source coding support technologies as the core of the digital TV industry. which along with the digital TV New Wave (including high-definition TV. Internet TV. mobile TV and other new business) has made tremendous progress. not only in technology. but also through its application continue to penetrate in the field of industrial structure and changing lifestyles also had a major impact. The vigorous development of digital media technology need a large number of scientific and technological workers familiar with the technology and engineering and technical personnel engaged in the research and development of this technology popularization and application. Digital TV project Series: Digital TV source coding technology and applications is prepared to meet this demand and to comply with the above trend. Contents: basic principle 1.1. Chapter 1. the first part of the basis of the image coding image coding image coding performance requirements and classifications 1.1 Overview 1.1.1 image coding necessity and possibility of a general block diagram 1.1.3 1.1.2 image coding image coding. Profiles 1.1.5 image coding application 1.2 4 image coding international standard setting the theoretical basis of the image coding 1.2.1 lossless coding theoretical basis 1.2.2 limit distortion Coding theory basis 1.3 visual characteristics of the image quality evaluation 1.3.1 human visual characteristics of refer to Chapter 2. image coding technology 2.1 entropy coding technology 2.1.1 1.3.2 visual system model 1.3.3 subjective evaluation of image quality. the 1.3.4 image quality of objective evaluation Hoffman (Huffman) code 2.1.2 reversible 2.2 predictive coding 2.2.1 2.1.3 arithmetic variable length code in the variable length code and the common code (Arithmetic Coding) prediction linear prediction coding principle 2.2.2 2.2.3 intraframe prediction 2.2.4 motion compensation interframe prediction 2.3 transform coding 2.3. 2.3.2 Discrete Fourier Transform of a transform coding of the basic ideas and methods 2.3.3 Discrete Cosine Transform (DCT) 2.3.4 KL transform 2.3.5 Hadamard (Hadamard) transform 2.3.6 transform encoding processing flow 2.4 active image hybrid coding technique References Chapter 3 wavelet transform and wavelet transform coding theory 3.1 Introduction 3.2 Continuous Wavelet Transform 3.3 discrete wavelet transform and the framework of the theory 3.3.1 Discrete Wavelet Transform a wavelet 3.3.3 3.3.2 binary framework theory Introduction 3.4 multiresolution rate pyramid decomposition and encoding algorithm analysis and fast wavelet transform algorithm 3.4.1 3.4.2 sub-band coding and multi-resolution spatial filter group 3.4.3 definition and nature of the signal in which the approximation 350 biorthogonal wavelet transform 3.6 3.6.2 upgrade of Wavelet Transform Adaptive Lifting Wavelet Transform Wavelet Transform 3.7 3.6.3 3.7.1 embedded zerotree wavelet (EZW) 3.7.2 Level tree wavelet packet and to upgrade the wavelet 3.6.1 Wavelet Packet basic principle and application source coding. the second part of the set partitioning (SPIHT) 3.7.3 motion compensated temporal filtering (MCTF) 3.7.4 overcomplete wavelet domain motion compensated temporal filtering (OIBMCTF) Summary References domes. N° de réf. du vendeur NE049825
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