標題: Titlebook: Coding for Markov Sources; Course Held at the D Giuseppe Longo Book 1971 Springer-Verlag Wien 1971 automation.coding.information [打印本頁] 作者: 請回避 時間: 2025-3-21 18:58
書目名稱Coding for Markov Sources影響因子(影響力)
書目名稱Coding for Markov Sources影響因子(影響力)學科排名
書目名稱Coding for Markov Sources網(wǎng)絡(luò)公開度
書目名稱Coding for Markov Sources網(wǎng)絡(luò)公開度學科排名
書目名稱Coding for Markov Sources被引頻次
書目名稱Coding for Markov Sources被引頻次學科排名
書目名稱Coding for Markov Sources年度引用
書目名稱Coding for Markov Sources年度引用學科排名
書目名稱Coding for Markov Sources讀者反饋
書目名稱Coding for Markov Sources讀者反饋學科排名
作者: 沐浴 時間: 2025-3-21 23:38 作者: Rodent 時間: 2025-3-22 01:54 作者: 方舟 時間: 2025-3-22 07:14 作者: CESS 時間: 2025-3-22 12:43
Die Entwicklung des Midshipmans,Consider a finite Markov chain φ having K states . and defined by the initial probability distribution . and by the transition probability matrix 作者: Obverse 時間: 2025-3-22 15:57
Klaus Lieberz,Matthias Franz,Heinz SchepankNow we shall apply to the case of the MS a method used by Csiszár and Longo in the case of a DMS. We shall prove the exponential behaviour of ., without being able, however, to find the expression for the exponent. Further investigation on this will be carried out in the sequel.作者: Obverse 時間: 2025-3-22 17:29 作者: Substance 時間: 2025-3-22 21:22
The Transmission Link and Source Coding Problem,In this chapter we want to provide an informal review, of some fundamental concepts concerning the different parts which make up a Communication Link. The discussion is not intended to be rigorous or complete; its aim, rather, is to give a rough survey of the items covered.作者: DUST 時間: 2025-3-23 02:25
Coding for Discrete Memoryless Sources,We shall consider a Discrete Memoryless Source (DMS), which can be represented by a finite scheme: . with the usual conditions . The DMS is supposed to emit one letter each unit of time, choosing it from its alphabet . according to the probability distribution (p.d.) 作者: Engaged 時間: 2025-3-23 05:38
Coding for Discrete Markov Sources,Consider a finite Markov chain φ having K states . and defined by the initial probability distribution . and by the transition probability matrix 作者: upstart 時間: 2025-3-23 10:01
The Error Exponent,Now we shall apply to the case of the MS a method used by Csiszár and Longo in the case of a DMS. We shall prove the exponential behaviour of ., without being able, however, to find the expression for the exponent. Further investigation on this will be carried out in the sequel.作者: transplantation 時間: 2025-3-23 15:59 作者: EXTOL 時間: 2025-3-23 21:21 作者: objection 時間: 2025-3-24 01:18
Coding for Markov Sources978-3-7091-2961-6Series ISSN 0254-1971 Series E-ISSN 2309-3706 作者: Ballad 時間: 2025-3-24 04:57 作者: Adrenaline 時間: 2025-3-24 07:57
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