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Markov-processes
馬可夫鍊的MATLAB程式撰寫和過程
(Markov chains and processes the MATLAB programming)
- 2011-10-24 21:16:56下载
- 积分：1
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MouseDraw_matlab
matlab鼠标在画板移动自由画图，画的线不会断续(Matlab mouse drawing in the drawing board move freely, painting line will not be interrupted.)
- 2014-12-08 11:41:22下载
- 积分：1
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MUSIC_Beamformer_CAPON
仿真实现了MUSIC、Beamformer、Capon功率谱，并未实现线性预测功率谱估计（未找到方法）。由实验结果我们可以得出结论MUSIC的估计效果最好，它可以区分800、850处来波，其他角度也可区分。(Simulation of MUSIC, Beamformer, Capon power spectrum, did not realize the power spectrum estimation linear prediction (not way to find). From the experimental results, we can draw the conclusion MUSIC best estimate of the effect, it can be distinguished to wave at 800, 850, other angles can also be distinguished.)
- 2015-03-12 21:57:23下载
- 积分：1
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FFTcomparewithLMS_PHDcomparewithMSIC
FFT横向滤波算法与最小二乘算法LMS的比较，以及PHD特征分解与多信号分解MUSIC的的比较(FFT horizontal filtering algorithm with least squares comparison of LMS, as well as the PHD characteristics of decomposition and multi-signal comparison of decomposition MUSIC)
- 2007-12-26 21:33:55下载
- 积分：1
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function
人工算法求解函数优化问题——智能计算大作业(Artificial Algorithm for Function Optimization- Great job on Intelligent Computing)
- 2010-11-25 13:09:36下载
- 积分：1
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Jack_genetic_algo
genetic algorithm program for power system
- 2011-05-29 03:40:25下载
- 积分：1
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Fenomeno-de-gibbs
Program to calculate the impulse response of ideal filters that illustrate the gibbs fenomenon.designing filters by windowing method and seing impulse and frecuency respons of filters and checking response by incresing the number of elementos fenomenon of gibbs.
- 2013-10-02 05:05:26下载
- 积分：1
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Series-RLC-circuit
tofind diffrent parameters such as inductance resonance frequency of series RLC circuit
- 2014-12-29 15:30:42下载
- 积分：1
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InformationGain
全部信息熵的计算，包括信息熵，条件信息熵以及信息增益。附带Andrew的信息增益教程(All information entropy calculations, including information entropy, conditional entropy and information gain. Andrew incidental information gain Tutorials)
- 2015-03-20 10:24:10下载
- 积分：1
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MTKLjcxhyanz
NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)
- 2016-07-15 10:36:52下载
- 积分：1
