PSO

现代信号处理这本书中的MATLAB代码。现代信号处理这本书可谓同类图书中的经典，包含了小波，自适应算法等程序。(Modern signal processing MATLAB code in this book. Modern signal processing This book can be described as similar books in the classic, including the wavelet, adaptive algorithms and other procedures.)

基于贝叶斯人脸识别技术的matlab人脸识别程序，在ORL库上实现，也可换用别的库进行运算，只需要更改样本数量(Bayesian face recognition technology based on face recognition matlab program, implemented on ORL database can also be used for other library operations, only need to change the number of samples)

matlab灰度图像的边缘提取：直方图均衡化，canny算子实现一阶偏微分，计算梯度幅值和方向(matlab Gray Image Edge Extraction: histogram equalization, canny realization of first-order partial differential operator, calculate the gradient magnitude and direction)

函数逼近中两个重要的方面，勒让德逼近和列梅兹算法(two important aspects in function approximation, Legendre approximation and Remez algorithm )

This code is used by matlab . You can calculate the multifractal spectrum of the time series from legend.

利用FFT快速计算，线性排列阵子方向图。( This function computes and returns the gain radiation pattern for a linear array It uses the FFT to computes the pattern *INPUTS********** Nr ==> number of elements dolr ==> element spacing (d) in lambda units divided by lambda theta0 = steering angle in degrees winid ==> use winid negative for no window, winid positive to enter your window of size(Nr) win is input window, NOTE that win must be an Nr X 1 row vector nbits ==> number of bits used in the pahse shifters negative nbits mean no quantization is used *OUTPUTS****************** theta ==> real-space angle patternr ==> array radiation pattern in dBs patterng ==> array directive gain pattern in dBs ***************************************** )

filter parameter determination

用rbf网络 实现神经网络学习算法 可以在matlab直接运行 其中有些参数可以自由根据情况改动(rbf )

调频连续波雷达仿真程序。使用matlab实现，效果很好。匹配滤波器的设计可作为参考(FM continuous wave radar simulation program. Using matlab, the effect is very good.Matched filter design can serve as reference)

说明：  一个JPA的学习资料。很适合初学者进行学习。对于初学者来说是个非常宝贵的资料。(A JPA of learning materials. Is suitable for beginners to learn. For beginners is a very valuable information.)