exam4_2_post

中频70M，30M带宽LFM信号，采样率为102.4M，数字下变频后，还进行了三倍抽取，最后还得到I，Q两路信号 (IF 70M, 30M bandwidth LFM signal, the sampling rate of 102.4M, digital down conversion, the samples were carried out three times, the last also I, Q two-way signal)

一篇介绍基于DCT域水印和文本水印算法的研究的硕士论文，提出多种新的水印算法(Introduced a master s thesis based on DCT domain watermark and text watermark algorithm is proposed a variety of new watermarking algorithm )

it defines about apche ant simulations

产生脉内Frank相位编码调制信号，并对其进行平方、四次方变换，利用四次方FFT结果为单频信号的特点完成调制识别，最后绘图观察其瞬时相位曲线。(Generating pulse code modulation signal within Frank polyphase, and its square, four square transformed by FFT results for the fourth power single-frequency signal modulation characteristics of complete identification, finally drawing to observe the instantaneous phase of the curve.)

LMS算法程序 代码等等 变步长；LMS算法程序 代码等等 变步长(LMSsuanfa and soon)

此为模式识别中Parzen窗法估计概率密度函数。 全部程序流程如下： 1、读取FAMALE.TXT文件把身高或体重给数组，并求x1的样本数N1和窗宽、体宽； 2、读取MALE.TXT文件把身高或体重给数组，并求x2的样本数N2和窗宽、体宽； 3、读取Test2.txt文件把对应的身高或体重给数组A并求A的样本数M； 4、利用Parzen窗法估计概率密度函数判别男女性别； 5、对本判别的错误率进行统计。 (This is the pattern recognition Parzen window method to estimate the probability density function . All program flow is as follows : 1 , read FAMALE.TXT file to height or weight to the array, and find the number of samples x1 N1 and window width , body width 2 , read MALE.TXT file to height or weight to the array, and find the number of samples x2 N2 and window width , body width 3 , read Test2.txt file to the corresponding height or weight requirements for the array A and A is the number of samples M 4 , the use of Parzen window method to estimate the probability density function of gender discrimination 5 , determine the error rate of the statistics . )

Matlab Fuzzy Logic Color Detection using GUI and find the dominant color and the 3D histogram and HSV HSI conversion

粒子群算法，为最优化问题的一种解法，调用方法和参数包含在主文件里。使用matlab实现(Particle swarm optimization for optimization problems, a solution, calling the method and parameters included in the main file. Using matlab to achieve)

script to plot Fpdf.In probability theory and statistics, the F-distribution is a continuous probability distribution.It is also known as Snedecor s F distribution or the Fisher–Snedecor distribution (after R. A. Fisher and George W. Snedecor). The F-distribution arises frequently as the null distribution of a test statistic, most notably in the analysis of variance see F-test.

可实现对信号的小波分解及滤波..........(wavelet transform decomposition and denoising.)