1DBVP

Design a linear phase minimum order FIR Band Stop filter to stop the frequency band 0.45π to 0.55π with atleast 60dB attenuation at the edges. Further -3dB frequencies are required to be at 0.3π and 0.7π. 1. Plot the frequency response of the psuedo magnitude function using (a)rectangular window, (b)Hann window and (c) Hamming window. 2. Plot the frequency response for Rectangular and Hamming window for a length of 1024 to demonstrate the fact that the increase in the length, doesn t reduce undershoot and overshoot in Rectangular window.

ACCV的一篇论文以及源代码，不是我写的只是搬运到这里而已，具体请访问论文中作者的网页。改进Harris的角点检测，主要改进在：1、是在加权模板选择了各向异性的模板代替了各向同性的高斯模板；2、选择使用多尺度滤波器对图像进行处理，使算法具有一定的多尺度特性。(This is paper with code,which published on ACCV.I m not the author of this paper.If want to know more,please vistor the home page of the author.Major improvements of this paper is focus on: 1 Using a bilateral filters insteal of the isotropic Gaussian kernel for weighted template selection 2、Using Multi-Scale filter which make the algorithm can detect the multi-scale corner in the image)

自己做的一个三角波发生器，通过改变周期可以自定义频率(a triangle-wave generator)

rbf网络来做预测，过程很适合初学者懂的。很详细，很容易的！(rbf neural network to make the forecast, the process is very suitable for beginners understand. Very detailed, easy! )

本程序通过matlab实现图片的RGB域到LAB域的转换，本程序包含测试程序，可以完全跑通，敬请放心使用。(This procedure achieved by matlab image RGB domain to the domain of LAB, this program includes testing procedures, can be completely run through, please rest assured that use.)

深度典型相关分析的python实现，DCCA是Galen Andrew于2013年发表于ICML上的一篇文章，提出了将深度网络与CCA结合的新方法。(Deep canonical correlation analysis)

素数的判定，miller-rabin，sol-str,leman,fermat等。都可以运行，下完自后自己稍微改改就可以用。(Primes judgment, miller-rabin, sol-str, leman, fermat so on. Can run is finished after their own little changed since it can be used.)

三种分集合并的性能比较，源码很详细，非常适合初学者使用(Three kinds of diversity merger performance comparison, the source code is very detailed, very suitable for beginners to use)

correlation watremarking

Design and analysis of FIR filters based on Matlab