Titlebook: Communications and Networks; A Survey of Recent A Ian F. Blake,H. Vincent Poor Book 1986 Springer-Verlag New York Inc. 1986 Hardware.Mathem

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Image Compression via Self-Error-Correcting Two-Dimensional Codingructed image. While this occurs for all source coding techniques, including information reducing but synchronous DPCM, it is particularly troublesome for information preserving, asynchronous, predictive techniques. There have been many efforts to deal with this problem, including, as often employed

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Vector Quantizationmost of our processing of the signals is digital. As examples, consider the following. Digital communication systems encode samples of an input signal into a bit stream of finite length: finite due to bandwidth constraints. Various signal-processing techniques have their mathematical operations impl

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The Chinese Remainder Theorem and Applicationsnown as the Chinese remainder theorem. The scope of problems to which this applies is very wide. It includes cryptography, error control coding, fault-tolerant systems, and certain aspects of signal processing. In this chapter we present various versions of this theorem and discuss some of the probl

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D. N. Baker,B. Klecker,R. Steigero a sequence of digital numbers based on which parameter estimation is to be performed. As digital facilities have become dominant in the area of signal processing, such an approach is advantageous and timely. A parameter estimator will be called digital if it involves input quantization.

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https://doi.org/10.1007/978-1-4899-8005-2h and seismic signal processing, spectral estimation, process control, and others. The statistical theory of such models is well established and quite complete, and efficient computational algorithms exist in a number of cases.

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https://doi.org/10.1007/978-3-540-31346-5nown as the Chinese remainder theorem. The scope of problems to which this applies is very wide. It includes cryptography, error control coding, fault-tolerant systems, and certain aspects of signal processing. In this chapter we present various versions of this theorem and discuss some of the problems to which it can be applied.

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