sliding_model_control

附件代码为正交匹配追踪的源程序，用matlab编写，程序简单实用。(Annex code orthogonal matching pursuit of the source, written with matlab, the program is simple and practical.)

对貂和麝鼠之间的关系用VARMA建立状态空间模型(VARMA modeling：interaction between minks and muskrats)

matlab里的S函数的编写指导，对于自己编写程序很有帮助(guiding the preparation of the S-function in the matlab helpful for their own programming)

MATLAB7.X信号处理工具箱函数汇总 1、 滤波器分析与实现 2、 FIR数字滤波器设计 3、 IIR数字滤波器设计 4、 模拟滤波器设计 5、 模拟滤波器变换 6、 滤波器离散化 7、 线性系统变换 8、 窗函数 9、 变换 10、 统计信号处理与谱分析 11、 参数模型 12、 线性预测 13、 多采样率信号处理 14、 波形产生 15、 特殊操作(MATLAB7.X Signal Processing Toolbox functions Rollup 1, filter analysis and implementation of 2, FIR digital filter design 3, IIR digital filter design 4, 5 analog filter design, analog filter transform 6, 7 discrete filter, 8 linear system transformation, the window function 9, 10 transformation, statistical signal processing and spectrum analysis 11, 12-parameter model, linear prediction 13, 14 of multirate signal processing, waveform generator 15, a special operation)

matlab GUI 下简单的图书管理系统的小程序，包含有软件设计概要及用户手册，适合初学者入门。(matlab GUI for beginner)

用MATLAB仿真谱估计中的MUSIC算法(MATLAB simulation spectrum estimation using the MUSIC algorithm)

wiener滤波器的matlab程序，是自己编的，希望能对大家有用(wiener filter matlab program is own the hope that it can be useful for all of us)

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)

耳蜗实质上相当于一个滤波器组，耳蜗的滤波作用是在对数频率尺度上进行的，在1000HZ下，人耳的感知能力与频率成线性关系；而在1000HZ以上，人耳的感知能力与频率不构成线性关系，而更偏向于对数关系，这就使得人耳对低频信号比高频信号更敏感。Mel频率的提出是为了方便人耳对不同频率语音的感知特性的研究。频率与Mel频率的转换公式为(on logarithm frequency scale, under the 1000 hz, the perception of the human ear and a linear relationship with frequency In more than 1000 hz, the perception of the human ear does not constitute a linear relationship with frequency, and prefer to logarithmic relationship, which makes the human ear is sensitive to low frequency signal is better than high frequency signal. Mel frequency is put forward in order to facilitate the ear of the study of speech perception characteristics of different frequency. For frequency and Mel frequency conversion formula )

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.