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Titlebook: Error-Correction Coding for Digital Communications; George C. Clark,J. Bibb Cain Book 1981 Springer Science+Business Media New York 1981 C

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發(fā)表于 2025-3-21 16:54:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Error-Correction Coding for Digital Communications
編輯George C. Clark,J. Bibb Cain
視頻videohttp://file.papertrans.cn/315/314936/314936.mp4
叢書名稱Applications of Communications Theory
圖書封面Titlebook: Error-Correction Coding for Digital Communications;  George C. Clark,J. Bibb Cain Book 1981 Springer Science+Business Media New York 1981 C
描述Error-correction coding is being used on an almost routine basis in most new communication systems. Not only is coding equipment being used to increase the energy efficiency of communication links, but coding ideas are also providing innovative solutions to many related communication problems. Among these are the elimination of intersymbol interference caused by filtering and multipath and the improved demodulation of certain frequency modulated signals by taking advantage of the "natural" coding provided by a continuous phase. Although several books and nu- merous articles have been written on coding theory, there are still noticeable deficiencies. First, the practical aspects of translating a specific decoding algorithm into actual hardware have been largely ignored. The information that is available is sketchy and is widely dispersed. Second, the information required to evaluate a particular technique under situations that are en- countered in practice is available for the most part only in private company reports. This book is aimed at correcting both of these problems. It is written for the design engineer who must build the coding and decoding equipment and for the communicat
出版日期Book 1981
關(guān)鍵詞Counter; Demodulation; Generator; Hardware; Modulation; Phase; Signal; coding theory; communication; communic
版次1
doihttps://doi.org/10.1007/978-1-4899-2174-1
isbn_softcover978-1-4899-2176-5
isbn_ebook978-1-4899-2174-1
copyrightSpringer Science+Business Media New York 1981
The information of publication is updating

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Algebraic Techniques for Multiple Error Correction,ed on these codes that has allowed computationally efficient decoding algorithms to be developed. We shall present several of these techniques, but the treatment will not be mathematically rigorous. The reader will be referred to the literature for some detailed proofs.
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Genetic Signatures of Centenarians,ed on these codes that has allowed computationally efficient decoding algorithms to be developed. We shall present several of these techniques, but the treatment will not be mathematically rigorous. The reader will be referred to the literature for some detailed proofs.
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Other Convolutional Decoding Techniques,e applications. One of the most significant properties of sequential decoding is that the time required to decode a given information symbol is a random variable. In this respect the algorithm is quite similar to the random search techniques for block codes discussed in Chapter 3.
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A Spacecraft that can Think for Itself,threshold decoders. introduced by Massey in 1963, and information set decoding,. which was first introduced by Prange in 1962. The discussion will concern only binary codes except when it is specifically noted that the results apply to nonbinary codes as well.
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Simple Nonalgebraic Decoding Techniques for Group Codes,threshold decoders. introduced by Massey in 1963, and information set decoding,. which was first introduced by Prange in 1962. The discussion will concern only binary codes except when it is specifically noted that the results apply to nonbinary codes as well.
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Book 1981e the energy efficiency of communication links, but coding ideas are also providing innovative solutions to many related communication problems. Among these are the elimination of intersymbol interference caused by filtering and multipath and the improved demodulation of certain frequency modulated
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