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bayes
贝叶斯决策包含最小风险和最小错误概率两种情况的仿真(Bayesian decision-making included the minimum risk and minimum error probability of the two simulation)
- 2009-06-01 11:03:38下载
- 积分:1
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Matlab-Code
this is a code for analytically showing energy consumption degradation with network coding in wireless sensor networks
- 2011-02-02 01:24:48下载
- 积分:1
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code
说明: 非线性分类,SVM理论为基础,调整参数改变分类(聚类的)边界的松紧程度(Nonlinear classification, SVM theory, adjust the parameters to change the classification (clustering) the degree of elastic boundary)
- 2008-09-19 18:07:59下载
- 积分:1
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BPSK
BPSK调制解调,采用升余弦波形成形,误码性能分析(BPSK modulation and demodulation, the use of raised cosine waveform shaping, error performance analysis)
- 2021-04-27 22:28:44下载
- 积分:1
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dist_eff_tm
simulating center location(simulation)
- 2010-11-28 06:02:18下载
- 积分:1
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AAM_2D_example
statistical shape model AAM 2D example
- 2012-07-02 16:30:29下载
- 积分:1
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half_3ph_rectifier
simulation of 3_phase rectifier in matlab simulink
- 2013-07-23 21:06:12下载
- 积分:1
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HCR-Protocol-in-Matlab_By_Rashmi_Ranjan_Sahoo
HCR protocol in MATLAB
- 2014-09-25 14:55:11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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resultICA
大纲很简单地独立分量分析理论和盲源分离技术20多年的发展历史,及其程序。(Independent component analysis of the history of the development of the theory and blind source separation technology more than 20 years, and its procedures.)
- 2021-01-29 09:48:39下载
- 积分:1