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LESSON 2-Discrete Source Encoding

2019-11-23 21:52:38  阅读:530  来源: 互联网

标签:sequence Source Encoding Discrete sources source waveform LESSON


Keywords: Source types, Discrete source coding, Kraft inequality

1.      Source classes

About Figure 1.1 in LESSON1, the source encoder converts the sequence of symbols from the source to a sequence of binary digits, preferably using as few binary digits per symbol as possible.

Thus, we first distinguish between three important classes of sources:

  • Discrete sources, which is a toy source and we will begin with it. The output is a sequence of symbols like ABCDEFG.
  • Analog waveform sources. The output, in the simplest case, is an analog real waveform, for example, a speech waveform.
  • Discrete-time sources with analog values (analog sequence sources).

 

2.      Discrete Sources coding

 

 

  2.1 The Kraft inequality for prefix-free codes:

  

The Kraft inequality [17] is a condition determining whether it is possible to construct a prefix-free code for a given discrete source alphabet X = {a1,... ,aM } with a given set of codeword lengths {l(aj ); 1 ≤ j ≤ M}.

 

 

 

 

 

 

 

 

标签:sequence,Source,Encoding,Discrete,sources,source,waveform,LESSON
来源: https://www.cnblogs.com/yangyang827847/p/11919850.html

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