msk_system

本文介绍了遗传算法的原理及计算流程，并且对简单遗传算法进行改进，实现了数学编码(This article describes the principles of genetic algorithms and calculation processes, and improve on the simple genetic algorithm to achieve a mathematical code)

基于梯度下降法的RBF神经网络算法设计仿真(Design and Simulation of RBF neural network algorithm based on gradient descent method )

PROGRAM CONSISTS STEP,UNIT RAMP,EXPONENTIAL,SINE AND OTHER DSP RELATED PROGRAMS

1．通过实验加深对快速傅立叶变换（FFT）基本原理的理解。 2．了解FFT点数与频谱分辨率的关系，以及两种加长序列FFT与原序列FFT的关系。 离散傅里叶变换（DFT）和卷积是信号处理中两个最基本也是最常用的运算，它们涉及到信号与系统的分析与综合这一广泛的信号处理领域。实际上卷积与DFT之间有着互通的联系：卷积可化为DFT来实现，其它的许多算法，如相关、滤波和谱估计等都可化为DFT来实现，DFT也可化为卷积来实现。(1. Deepen the experimental fast Fourier transform (FFT) the basic tenets of understanding. 2. Understand the FFT spectrum and points of the resolution, and two extended sequence with the original FFT FFT relations. Discrete Fourier Transform (DFT) and the convolution of two signal processing is the most commonly used basic arithmetic, they relate to the signal and system analysis and synthesis of the wide range of signal processing field. DFT actually convolution and interoperability between contact : DFT into convolution can be achieved in many other algorithms, If relevant, filtering and spectral estimation could be achieved as DFT, DFT into convolution can be achieved.)

AP聚类方法，是08年发表在“科学”上的聚类方法，本人从图像图像方面研究近十年，这是我所见过最好的聚类算法，本程序提供聚类演示，还把它用图像分割试验（matlab7.0环境调试）。(AP clustering method, is 08 published in " Science" on the clustering method, the image from the image in my research in recent years, this is the best I have ever seen clustering algorithm, Clustering presentation of this program provides, but also test it with the image segmentation (matlab7.0 debugging environment).)

PID+genetic algoritm PSO

very important to understand tomography of medical MRI images

说明：  给予神经网络的大视场光学系统畸变曲线拟合(Given the large field of neural network optical system distortion curve fitting)

Exponentially weighted covariance matrix

模式识别中knn和svm的使用，用到matlab的fitcknn和fitcsvm(pattern recognition the use of knn and svm to classify data, using matlab function fitcknn and fitcsvm)