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使用matlab语言编程的steger图像边缘检测算法，不仅可以检测图像边缘中心，对于图像边的两侧，只要调整好参数也可以达到目标。(Matlab programming language used steger image edge detection algorithm, not only can detect the image edge centers, on both sides of the edge of the image, as long as the adjustment parameters can also be a good target.)

能够实现声音信号的时域、频域、相位、功率谱分析(this matlab codes can realize the function analysis of time domain, frequency domain,phase ,powerspectrum ect for a noise signal)

粒子群优化支持向量机的算法，主要是用于优化两个参数(PSO LSSVM algorithm)

Script for computing BER with Binary Convolutional Code and Viterbi decoding with finite survivor state memory Convolutional code of Rate-1/2, Generator polynomial - [7,5] octal Hard decision and soft decison decoding is used.

辅助粒子滤波源程序，APF经典程序，欢迎下载。(Auxiliary particle filter source, APF classic program, welcome to download.)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

Matlab code for mlms

比较简单的查询来访人数，第一次传，欢迎大家学习(Relatively simple query the number of visitors, welcome them to learn from)

对基于LMS算法的通道失配校正模型进行仿真。仿真不同信噪比条件下校正前后的通道失配度改善情况，参考信号为叠加有噪声的随机方波信号。(LMS algorithm based on channel mismatch correction model for simulation. Channel mismatch before and after the correction to improve the signal to noise ratio of different simulation conditions, the reference signal is a random noise superimposed on a square wave signal.)

LMS自适应算法，对不同信道参数进行仿真，并输出计算结果(LMS adaptive algorithm, for different channel simulation parameters and output results)