kNN

在这本实用的指导书帮助下你立即就可使用MATLAB了。《MATLAB揭秘》为学习这种功能强大的数学计算工具提供了高效的、启发性的方法。 本书使用简单易行的风格，一开始介绍了MATLAB基础，你将学习到如何绘制图象，求解代数方程及计算积分，也将学习到如何求解微分方程，求ODE的数值解，使用特殊函数工作。本书含有几百个例子及其详细解说过程，章末带有习题，书末还带最终测试题目，一句话，本书给予你的是MATLAB精华。 (In this practical guide book to help you immediately can use the MATLAB. " MATLAB Secret" To learn this powerful tool for mathematical calculations to provide a highly efficient and enlightening way. The book is easy to use style, the beginning describes the basis of MATLAB, you will learn how to draw images, solving algebraic equations and calculating the points will also learn how to solve the differential equations, and numerical solution of ODE, the use of special function工作. This book contains hundreds of examples and a detailed explanation of the process, with the end of chapter exercises, the book also take the final test at the end of the topic, a word, this book is to give you the essence of MATLAB.)

sistem pengolahan sinyal digital

求解最优路径的MATLAB遗传算法，求解无人机在100个城市之间的最优路径(MATLAB genetic algorithm for solving optimal path)

Visual C++/MATLAB图像处理与识别实用案例精选 一书的所有程序代码(Visual C++/MATLAB image processing and recognition of practical cases selected all the code book)

自适应滤波器程序，选用电力系统谐波信号作为输入。其中包括了wiener滤波器，kalman滤波器，LMS算法，RLS算法，LSL算法，FTF算法。所有程序均为本人自编，并且标注了编程所参考的书籍及页数，经过调试，完全正确，请放心使用。(Adaptive filter procedures, selection of power system harmonics signal as input. Including the wiener filter, kalman filter, LMS algorithm, RLS algorithm, LSL algorithm, FTF algorithm. All Programs are my own, and marked by a programming reference books and pages, after debugging, completely correct, please rest assured that use.)

PCA_based Face Recognition SystemPCA_based Face Recognition System

可以在蓝色背景下找到肤色散点分布图，从而确定肤色在YCBCR空间内的分布情况(Can be found in the blue background color scatter distribution, to determine the color space in the distribution of YCBCR)

说明：  DSP入门：在MATLAB中应用傅里叶变换分析信号频谱(DSP basis: Implement fourier transform to analysis signals spectrum with MATLAB)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

euler, runge kutta and others in a GUI