p50

本代码是针对《合成孔径雷达成像：算法与实现》书后光盘的CSA实现(This code is for " synthetic aperture radar imaging: algorithm and implementation," the book the disc to achieve CSA)

brain stroke area will be detected by this program ,it will undergoes curvlet diagnosis ,the kmeans segmentation .the segmented image will go for feature extraction

智能天线波束形成的LMS算法，比较齐全，对于研究智能天线波束形成的朋友有参考价值(The smart antenna LMS algorithm of formation, relatively complete)

时频工具箱，以上给了很多函数，但常用的基本就是短时傅里叶变换STFT、Wigner-Ville分布WVD、伪Wigner-Ville分布PWVD和提取瘠ridges、得到理想时频表示tfrideal。(Time-frequency toolbox over to a lot of functions, but the basic is commonly used short-time Fourier transform STFT, Wigner-Ville distribution WVD, pseudo-Wigner-Ville distribution PWVD and extraction barren ridges, when you get the ideal frequency representation tfrideal.)

说明：  波达方向（DOA） 估计的基本问题就是确定同时处在空间某一区 域多个感兴趣的信号的空间位置(即多个信号到达阵列参考阵元的方 向角)。最早的也是最经典的超分辨率(DOA)估计算法是著名的多信号 分类（Multiple Signal Classification） 法,简称 MUSIC 算法,它是 一类经典的基于特征结构分析的空间谱估计方法。该算法利用了信号 子空间和噪声子空间的正交性,构造空间谱函数,通过谱峰搜索,检测 信号的 DOA。(The basic problem of DOA estimation is to determine the simultaneous location in a certain region of space. Spatial position of multiple interested signals in the domain (i.e. the direction of multiple signals reaching the array reference elements) Directional angle). The earliest and most classical super-resolution (DOA) estimation algorithm is the well-known multi-signal.Multiple Signal Classification, referred to as MUSIC algorithm, is A classical spatial spectrum estimation method based on eigenstructure analysis. The algorithm utilizes signals. The orthogonality of subspace and noise subspace, the construction of spatial spectral function, through peak search, detection DOA of signal.)

A collection of useful tutorials and commands for easy reference and lookup of commands, I hope you like it

text localization,recognization and segemntation

介绍了一种特定频率响应滤波器的设计方法，具有很强的实际应用价值(Introduces the design method of a specific frequency response filter, which is of great practical application value)

TSP问题是经典的寻优问题 也是人工智能里一个重要的问题 我编写的程序主要是用蚁群算法来解决这个问题。蚁群算法是人工智能里用来寻优的重要算法 由于蚁群算法的优点使得TSP问题能够实现。 (The TSP problem is a classical optimization problem is also an important problem in artificial intelligence programs written in my main is to use ant colony algorithm to solve the problem. Ant colony algorithm is used in artificial intelligence (ai) optimization algorithm is important due to the advantages of ant colony algorithm can achieve the TSP problem.)

识别分类算法 matlab程序 PLSDA SIMCA等 机器学习 application 直接运行 带入分类数据 建立模型后运行(Recognition and Classification Algorithms, Programs, Machine Learning Applications, etc. Run directly and bring in classified data to build models.)