The analysis of the entropy rate and method research for the low noise amplifier

Abstract

Keywords:
• linear network,
• entropy,
• low noise amplifier

References

1. [1]

   苏日建.信息测量系统及其若干问题的研究[D].武汉:华中科技大学,2010.
   

2. [2]

   马双宝.基于熵的信息测量系统建模方法研究[D].武汉:华中科技大学,2013.
   

3. [3]

   VALLÉE R.Information entropy and state observation of a dynamical system[C]//Uncertainty in Knowledge-Based Systems,Berlin:Springer Berlin Heidelberg,1987:403.

4. [4]

   ZHANG A H.Research on amplifier performance evaluation based on support vector regression adjustable entropy function[J].Chinese Journal of Scientific Instrument,2011,32(2):295.

5. [5]

   SHANNON C E.A mathematical theory of communication[J].The Bell System Technical Journal,1948,27(3):379.

6. [6]

   BEGHDADI A,KHELLAF A.A noise-filtering method using a local information measure[J].IEEE Transactions on Image Processing,1997,6(6):879.

7. [7]

   CAPRIOTTI E,FARISELLI P I,CASADIO R.A Shannon entropy-based filter detects high-quality profile-profile alignments in searches for remote homologues[J].Proteins,2004,54(2):351.

8. [8]

   ZHU S C,WU Y N,MUMFORD D.Filters,random fields and maximum entropy (FRAME):Towards a unified theory for texture modeling[J].International Journal of Computer Vision,1998,27(2):107.

9. [9]

   GOLDSTEIN J S,REED I S,SCHARF L L.A multistage representation of the Wiener filter based on orthogonal projections[J].IEEE Transactions on Information Theory,1998,44(7):2943.

10. [10]

    SCHARF L,Thomas J K.Wiener filters in canonical coordinates for transform coding,filtering,and quantizing[J].IEEE Transactions on Signal Processing,1998,46(3):647.

Proportional views