dspprograms

Real time Digital Signal Processing ebook

偏微分求解，大全很全面的偏微分求解，显隐式，对比及使用等(Partial differential solution)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

一个计算时间反转镜的例子,已经过测试可以使用(A program of TRM)

PNM Toolbox，用于Matlab的各种各样对图像处理的源码库(PNM Toolbox for Matlab variety of image processing code libraries)

This is the Purdue University EE 606 Homework. I uploaded it and hope friends could enjoy it together. Thanks very much

关于宽带雷达回波目标基于径向积的检测方法matlab实现程序(About Broadband Radar target detection method based on radial plot matlab implementation program)

实现matlab中常用函数功能，只要将其加入进去，就可直接调用。 (Matlab function to achieve the commonly used features, as long as its accession into the call directly.)

基于支持向量机（SVM）回归的MATLAB演示程序(Based on support vector machine (SVM) regression of the MATLAB demo)

Lyapunov Exponents Toolbox (LET) provides a graphical user interface (GUI) for users to determine the full sets of Lyapunove exponents and dimension of their specified chaotic systems. This version of LET can only run on MATLAB 5 or higher versions of MATLAB. It has been tested under Windows and Unix. LET may also run on other platforms. The original version of LET has only 200 lines while the GUI version of LET has almost 2000 lines. The GUI makes the program become more sophisticated and run slower but allows the users to observe the calculated results immediately, so that they can decide whether the results are convergent or not.(Lyapunov Exponents Toolbox (LET) provides a graphical user interface (GUI) for users to determine the full sets of Lyapunove exponents and dimension of their specified chaotic systems. This version of LET can only run on MATLAB 5 or higher versions of MATLAB. It has been tested under Windows and Unix. LET may also run on other platforms. The original version of LET has only 200 lines while the GUI version of LET has almost 2000 lines. The GUI makes the program become more sophisticated and run slower but allows the users to observe the calculated results immediately, so that they can decide whether the results are convergent or not.)