LSB

this code invert number of a vector

这是中国科学技术大学的dsp实验内容，包括FFT，卷积，滤波器设计等内容，可供学习MATLAB以及深入理解dsp原理之用(This is dsp experiment of USTC, including FFT, convolution, filter design, etc., for learning MATLAB and in-depth understanding of the principle of dsp.)

零阶加权局域法预测，Matlab编程，很好用。附加本人的原数据！(Zero-order local law weighted prediction, Matlab programming, very easy to use. Additional my original data!)

说明：  通过MATLAB矩阵实验室，学习基于小波变换的电能质量扰动分析。(Analysis of Power Quality Disturbance Based on Wavelet Transform by MATLAB Matrix Lab.)

在删除信道下LDPC码的编译码研究与实现，可供参考(In the Delete Channel Encoding and Decoding of LDPC Codes and implementation, available for reference)

双圆孔弗朗合肥衍射仿真，MATLAB,远场衍射。(DOUBLE FRAUHOFER )

Induced Nested Galactic Bars Inside Assembling Dark Matter Halos

neural network for matlab 7.14

matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于classification， 得到规则，threshold1为要求的support,threshold2为要求的confidence，h 则为符合要求的规则及其support和confidence，前2列为规则，后2列为其support和confidence (matlab on the association rule to write functions, there are 3 files, association.m: h = association (m, i, j) i => j, m is the data, h is the support and confidence, this function applies only to a single Data ass_item: h = ass_itset (m, a, b) it is the same as above, but it can be used for multiple data (m can be matrix) assrule: h = assrule (m, threshold1, threshold2) the function used for classification,get the rules, threshold1 is the require of support, threshold2 is the required of confidence, h is the rules and their support and confidence, the former two columns as a rule, the latter two columns as one of its support and confidence)

说明：  实现相空间重构时间延迟的确定，使用的是C-C方法。(Realization of phase space reconstruction time delay identification)