radar-signal-doppler-TFA

说明：  16psk格雷映射的误码率仿真,已通过matlab仿真，绝对好用( Bit Error Rate for 16-PSK modulation using Gray modulation mapping you can know 16psk modulation and gray modulation and apply them in your program)

把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关(The identification is divided into two steps: the first step: using the correlation analysis method for object nonparametric model (impulse response or related function) The second step: using the least squares method, auxiliary variable method or augmented least squares method and so on, further for the parameters of the object model. If the model input noise and independent, the Cor- ls related least squares (two footwork) can get good recognition results. Cor- ls related least squares (two footwork) is essentially the data to a correlation analysis, filter in addition to the influence of colored noise, using least squares inevitable will improve the identification result. To adapt to a wide range of noise and calculation is not big, the initial value to identification results less effect. But for the input signal and noise are not related)

基于小波变换模极大的多尺度图像边缘检测matlab源代码(Based on wavelet transform modulus maxima of multi-scale edge detection matlab source code)

虹膜定位Matlab源代码，采用圆检测的方法，有友好的GUI操作界面，学习使用均方便。(iris location Matlab source code, using a round, the method of testing a friendly GUI interface. learning to use both convenience.)

ofdm papr simulation

This file shows CVIP paper

a scorbot robot with 3 dof and his own way

用三级小波变换实现的语音信号去噪处理的MATLAB源程序，去噪效果很好(Use level 3 wavelet transform of the realization of the speech signal to deal with the noise MATLAB source, denoising the effect is very good)

Description We present a Matlab toolbox which can solve basic problems related to the Total Least Squares (TLS) method in the modeling. By illustrative examples we show how to use the TLS method for solution of: - linear regression model - nonlinear regression model - fitting data in 3D space - identification of dynamical system This toolbox requires another two functions, which are already published in Matlab Central File Exchange. Those functions will be installed to computer via supporting install package requireFEXpackage included in TLS package. For more details see ReadMe.txt file. Authors: Ivo Petras, Dagmar Bednarova, Tomas Skovranek, and Igor Podlubny (Technical University of Kosice, Slovakia) Detailed description of the functions, examples and demos can be found at the link: Ivo Petras and Dagmar Bednarova: Total Least Squares Approach to Modeling: A Matlab Toolbox, Acta Montanistica Slovaca, vol. 15, no. 2, 2010, pp. 158-170.

《MATLAB及其在理工课程中的应用指南》书籍及其光盘代码内容，该书注重实践和应用，并配有源码("MATLAB and its applications in Polytechnic Course Guide" book and CD-ROM code content, the book focus on practice and application, and with a source)