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matlab实现kalman滤波 基于无源定位的算法研究(kalman filtering matlab achieve passive location algorithm based on the research)

Dark_Channel图像去雾，分割部分采用的是guide_filter而源文献中的Soft_Matting，运算效率有较大提升。输入文件地址及文件名需要自己修改。(Dark_Channel Haze Removal, using guide_filter other than soft_matting.)

本代码是关于，运用遗传算法实现旅行商问题的所有代码，以及MATLAB的使用方法以及工具箱等，是你做设计和其他方面的好例子,s是基于MATLAB软件的运行程序(jhjjsdh shdisd sdhjskd sdjdhsjk skdhsj sdhjs hsdh sd sd s s d s sd s d s d s d sd sd s d s d s d s sd s d sd dsd s dds d sd s d d s d s )

才有matlab实现最优化理论的几个重要算法，分别是最速下降法，内点法，外点法，插值法(Matlab to achieve optimization theory have several important algorithms, namely, the steepest descent method, interior point method, external point method, interpolation method)

把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)

LC-KSVD算法代码,<<Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD>>(LC-KSVD algorithm code, < <Learning A Discriminative Dictionary for Sparse Coding via Label Consistent K-SVD> > )

This program used to simulate the ofdm system in AWGN and fading channel with specified parameters given in the code.

The rar file contains different sample tests for practice of gre exam.

说明：  神经网络拟合函数逼近简单算例，用于简单了解原理，含注释(Neural network the fit function approximation simple example for simple understanding of principles, including the Notes)

CW频率步进信号的时域和频率的包络波形的仿真(CW frequency step signal time domain and frequency envelope waveform simulation)