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simsnr
改程序是由于降低papr的包括信道的产生,接收机的设计以及图形的打印(PAPR)
- 2009-09-12 09:46:21下载
- 积分:1
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MATLABrumem.zip
介绍了MATLAB入门知识,里面有很多简单MATLAB程序,助于快速学习(Presented an introduction to MATLAB, there are many simple MATLAB program, help to quickly learn)
- 2011-05-27 12:52:46下载
- 积分:1
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RLDA
用规则线性判别方法(RLDA)进行人脸识别的matlab源程序,及相关的参考文章。(use regulations linear discriminant method (RLDA) face recognition Matlab source, and the relevant reference articles.)
- 2007-01-06 15:44:23下载
- 积分:1
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Scattering-of-Electromagnetic-Waves
MATLAB programs related to electromagnetic wave scattering with special emphasis on wave scattering by random rough surfaces and discrete random media.(Detailed descriptions of the theories and formulations behind these codes can be found in the three-volume book Scattering of Electromagnetic Waves published by John Wiley & Sons:
Volume I: Theories and Applications (2000)by L. Tsang, J.A. Kong, and K.H. Ding
Volume II: Numerical Simulations (2001) by L. Tsang, J.A. Kong, K.H. Ding, and C.O. Ao
Volume III: Advanced Topics (2001) by L. Tsang and J.A. Kong
)
- 2012-08-30 20:50:47下载
- 积分:1
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bldiagmult
its about MIMO BD algorithm
- 2012-09-14 19:12:12下载
- 积分:1
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2DCOS
用于计算二维相关光谱,P为同步二维相关光谱,Q为异步二维相关光谱;
% data为m*n的光谱m为波长点数,n为样品数;(Two dimensional correlation spectroscopy)
- 2021-04-19 15:18:51下载
- 积分:1
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lyapunov
说明: MATLAB求解最大lyapunov指数源代码(MATLAB to solve the largest index of the source code lyapunov)
- 2009-08-18 15:49:25下载
- 积分:1
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DAC_original
DAC_orignigal 非常实用的程序 对于需要的朋友希望能够帮到你们 里面有各种小程序(DAC_orignigal very useful program for a friend in need hope to be able to help you there are a variety of small programs)
- 2013-11-30 15:23:55下载
- 积分:1
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LDPC-code-for-matlab
this packet is for LDPC coding and error detection and that is very usefull code for matlab.
- 2011-06-17 16:13:31下载
- 积分:1
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automatic-Emotion-predictor-sytem
A working setup that focuses on dimensional prediction of emotions from spontaneous conversational head gestures. It maps the amount and direction of head motion, and occurrences of head nods and shakes into
arousal, expectation, intensity, power and valence level of the observed
subject as there has been virtually no research bearing on this topic.
Preliminary experiments show that it is possible to automatically predict
emotions in terms of these five dimensions (arousal, expectation, intensity,
power and valence) from conversational head gestures. Dimensional
and continuous emotion prediction from spontaneous head gestures has
been integrated in the SEMAINE project [
- 2013-11-26 22:40:05下载
- 积分:1