A-new-filter-algorithm

matlab - image processing - butterworth low pass filter(matlab- image processing- butterworth low pass filter)

说明：  这是在matlab开发环境下，编程实现基于小波变换的音频水印的嵌入，提取，检测等工作。(It is the matlab code for audio waterprint based on wavelet transform,embeding and extration of the waterprint are included.)

此代码为pi/4-dqpsk的调制解调算法，用MATLAB实现，采用插分解调，简单实用(pi/4-dqpsk this code for the modulation and demodulation algorithm in MATLAB, transfer took decomposition, simple and practical)

a详细介绍MATLAB7.0的功能，及其一些编程注意事项和程序举例。(a detailed introduction MATLAB7.0 functions, and some of its attention to matters of programming and procedures, for example.)

jpeg压缩 是大学的一个论文话题 很不错的图像压缩 (University of jpeg compression is very good as a thesis topic of image compression)

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)

MATLAB7.0使用教程，但愿能帮到更多的同学们，顺利通过考试(MATLAB7.0 use the tutorial, I hope to help more students successfully pass the exam)

图论通用工具箱总汇： GraphTheory Toolbox for MATLAB MATLAB图论通用工具箱Studio大集成版 使用说明: 本工具包包含图论常用算法，经过本人测试通过， 其运行效率很高。用户不妨随机产生100*100、 500*500。1000*1000、5000*5000 等等超大型矩阵尝试。 另外本工具包中还附录了一些求解优化问题的程序。(图论通用工具箱总汇： The graph of general toolbox confluence: GraphTheory Toolbox for MATLAB GraphTheory Toolbox for MATLAB MATLAB图论通用工具箱Studio大集成版 General MATLAB graph theory toolbox of Studio integrated version 使用说明: Instructions for use: 本工具包包含图论常用算法，经过本人测试通过， The kit includes the graph theory algorithms, after I test, 其运行效率很高。用户不妨随机产生100*100、 Its operating efficiency is very high. The user can randomly generated 100*100, 500*500。1000*1000、5000*5000 等等超大型矩阵尝试。 500*500. 1000*1000, 5000*5000 and so on super large matrix try. 另外本工具包中还附录了一些求解优化问题的程序。 In addition, the toolkit also appendix some optimization problem solving program. )

QR Decomposition for non quadratic system

character recognition using matlab GUI