跳频信号时频分析

mimo (mimo )

说明：  层次分析法的学习与编程~~~~~~~~~~~~~~~~~~~~~~~~~~~(AHP in learning and programming ~~~~~~~~~~~~~~~~~~~~~~~~~)

matlab code to demonstrate jpeg compression algorithm.

方差分析法 应用统计学家Fisher在20世纪20年代最先提出了可同时比较多个正态总体均值是否相等的方差分析法。 本文通过几个案例来讲解方法分析法的应用(Analysis of variance application statistician Fisher first proposed in the 1920s, can simultaneously compare multiple normal population mean is equal to the analysis of variance. In this paper, several cases to explain the application of the method of analysis)

一些自适应信号处理的算法，包括广义互相关函数GCC时延估计，基于kaiser窗的双谱线插值FFT谐波分析。( Some adaptive signal processing algorithms, Including the generalized cross-correlation function GCC time delay estimation, Dual-line interpolation FFT harmonic analysis kaiser windows.)

说明：  提出ica与emd的结合，为处理音频信号而提出的一种方法。(The combination of ICA and EMD is proposed to process audio signal.)

NSGA-II算法提出了快速非支配排序法，降低了算法的计算复杂度。由原来的O(MN3)降到O(MN2)（M为目标函数个数，N为种群大小）。提出了拥挤度和拥挤度比较算子，代替了需要指定共享半径的适应度共享策略，并在快速排序后的同级比较中作为胜出标准，使准Pareto域中的个体能扩展到整个Pareto域，并均匀分布，保持了种群的多样性。引入精英策略，扩大采样空间。将父代种群与其产生的子代种群组合，共同竞争产生下一代种群，有利于保持父代中的优良个体进入下一代，并通过对种群中所有个体的分层存放，使得最佳个体不会丢失，迅速提高种群水平。

Progamming for MATLAB beginners

摘要 该文主要考虑利用图像噪声再生技术来提取图像细节 其思想是利用被滤除的噪声信号进行回收再利用 通过对噪声信号和初步去噪信号进行小波变换 比较它们的小波系数 当噪声信号的小波系数达到一定的阈值时 将噪声信号的小波系数保留叠加至初步去噪信号的小波系数 然后利用传统的软阈值去噪的方法来进行图像的去噪 从而达到既能够去除噪声 又能保留图像细节的目的 实验证明 该方法较传统的方法在去噪和细节保持上有改进(Abstract In this paper, consider using images to extract the noise regeneration of its ideological image detail is the use of the noise signal was filtered to recycle through the noise signal and the initial wavelet transform de-noising signal comparison of their wavelet coefficients of the wavelet signal when the noise coefficient reaches a certain threshold will be the noise signal superimposed to the wavelet coefficients to retain the initial de-noising signal wavelet coefficients and then using the traditional soft-threshold denoising approach to image denoising in order to achieve the removal of noise can not only be able to retain The purpose of image detail that the methods of the experiment a more traditional approach to denoising and detail in there to keep improving)

说明：  绘制升余弦滚降波形的眼图并功率图 xtuanna(Drawing Cosine waveforms and eye diagram xtuanna power)