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scalogram
Fs = 100000 t = 0:1/Fs:.00296
x = 1-cos(4*pi*t) cos(2*pi*t*200)
h = spectrum.welch Instantiate a welch object.
psd(h,x, Fs ,Fs) Plot the one-sided PSD
- 2009-12-26 22:40:32下载
- 积分：1
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ART-(Pattern-Classification)
a project for pattern classification by ART neural network (with GUI).
- 2011-07-16 15:07:08下载
- 积分：1
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MatlabANN
matlab神经网络函数以及网络构建的一些介绍(Matlab ANN)
- 2009-06-24 20:49:00下载
- 积分：1
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watertank1
watertank simulink example for pid
- 2013-11-12 01:54:52下载
- 积分：1
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poiuytf
pss+ SVC in power systemi n chicago nakhor
- 2010-09-09 17:44:12下载
- 积分：1
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matlab
遗传算法案例代码全功能，实用，好用，难得下载的(Genetic algorithm code for a fully functional case, practical, easy to use, rare downloads)
- 2011-08-19 19:04:35下载
- 积分：1
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Fn_QDHE
Quadrants Dynamic Histogram Equalization
- 2013-08-21 09:55:49下载
- 积分：1
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UWB_PPM_RAKE
PPM调制的超宽带系统RAKE接收机的误码率仿真程序(BER simulation of PPM_UWB system)
- 2009-05-24 17:54:04下载
- 积分：1
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dispersion1
基于matlab的色散程序仿真模拟的程序(failed to translate)
- 2012-04-05 13:20:55下载
- 积分：1
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hsmm
隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分：1
