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10--Advanced-numerical-calculation
此为matlab详尽学习资料第十章“高级数值计算”(This is a detailed matlab learning materials Chapter 10, " Advanced numerical computing" )
- 2013-07-23 20:35:10下载
- 积分：1
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observerPpid
基于观测器的仿真程序，在控制中引入等效补偿从而实现对干扰的完全抑制(Observer-based simulation program, the introduction of equivalent compensation control in order to achieve interference completely inhibited)
- 2013-05-08 00:00:39下载
- 积分：1
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exp3
newton rapson method matlab program
- 2010-10-01 12:07:58下载
- 积分：1
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MATLAB_in_communication
通信中关键技术的matlab解决程序,适合通信专业的工程技术人员与大专院校学生.(Matlab key communications technologies settlement procedures for communication of professional engineers and college students.)
- 2010-08-04 17:22:34下载
- 积分：1
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fangyeweisqx
MATLAB程序仅供大家参考。多多支持谢谢谢谢(good)
- 2009-03-17 17:20:31下载
- 积分：1
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bss_my
用快速ICA算法实现信号分离，两进两出，调试通过。(fast ICA algorithm signal separation, the two-two, through debugging.)
- 2006-12-19 15:20:28下载
- 积分：1
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bayes_classifier
贝叶斯分类器 模式识别（电子工业出版社）源代码(Bayesian classifier ..........)
- 2013-12-29 10:37:43下载
- 积分：1
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ZCR
autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2.
The resulting autocovariance column vector acv is given by the formula:
acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar)
where X_bar and Y_bar are the mean estimates:
X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i}
It satisfies the following identities:
1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X)
2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
- 2013-05-26 22:12:50下载
- 积分：1
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PAM
This file shows simple pam code source on DTV Equalizer.
- 2009-07-16 10:15:00下载
- 积分：1
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snopt-mfiles
SNOPT 大型非线性规划软件windows系统32位 64位均有(SNOPT Nonlinear Program )
- 2020-07-01 00:20:01下载
- 积分：1
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