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用matlab完成统计信号处理课程实验！(Matlab completed using statistical signal processing courses experiment!)

In this paper, a new approach based on the R, filtering is presented for speech enhancement. This approach differs from the traditional modified Wiener

matlab图论很好的学习书matlab图论很好的学习书vmatlab图论很好的学习书(good book)

采用MATLAB编写的“剪刀石头布”小游戏，供学习MATLAB的程序员练习。解压后，在MATLAB命令窗口直接输入文件名即可运行。(It is a simple game coded by MATLAB. It is useful to the biginner of MATLAB programmer.)

说明：  实现卡尔曼滤波，可以看出，滤波过程是以不断地“预测—修正”的递推方式进行计算，先进行预测值计算，再根据观测值得到的新信息和kalman 增益（加权项），对预测值进行修正。由滤波值可以得到预测，又由预测可以得到滤波，其滤波和预测相互作用，并不要求存储任何观测数据，可以进行实时处理。(Kalman filtering, can be seen, the filtering process is constantly &quot forecast- Fixed&quot recursive manner calculated to predict the value of the first, and then according to the new information should be observed and the kalman gain (weighted items), on predictive value of the amendment. Value can be predicted by the filter, but also can be filtered by the forecast, and its interaction filtering and prediction, does not require the storage of any observational data, real-time processing.)

递推最小二乘法和递推阻尼最小二乘法仿真，系统模型如下： y(t) - 1.6 * y(t - 1) + 0.7 *y (t - 2) = u(t - 1) + 5.5 * u(t – 2) + e(t)，试用递推最小二乘法和递推阻尼最小二乘法进行参数识别，并进行比较 (Damped recursive least squares method and recursive least squares method simulation, the system model is as follows: y (t)- 1.6* y (t- 1)+ 0.7* y (t- 2) = u (t- 1)+ 5.5* u (t- 2)+ e (t), the trial damped recursive least squares method and recursive least squares method for parameter identification, and comparison)

说明：  matlab实现的arnold置乱变换,很好用(matlab implementation arnold scrambling transformation, useful)

软限幅效应,量化阶数及取样间隔对直扩数字匹配滤性能的影响 郭南1996 本文以典型的AID变换量化器和改进型抖动噪声量化器为倒t研究几个数字化参数对 直接序列扩频(DS／SS)数字匹配滤渡／相关性能(系统的处理增益和误比特率)的影响，给出理论分 析及计算机模拟结果 用最优化方法研究最佳软限幅问题；指出增加量化比特数与引入抖动噪声 相比能更有救地改善系统性能，而且只要采用三比特的量化就能使系统性能接近无穷量他的效 果．文中还讨论了取洋间隔以及噪声的归一化带宽对系统性能的影响。本文的结果可为台理设计 直扩数字匹配撼披器，相关器提供必要的理论依据。(Soft limiter effect of quantization and sampling intervals on the order of DS digital matched filter performance Guo South 1996 In this paper, a typical quantization AID transform quantization noise and improved jitter inverted t examine several parameters on the digital direct sequence spread frequency (DS/SS) digital matched filter crossing/relative performance (system processing gain and bit error rate) of given theoretical analysis and computer simulation results using optimization method of optimal soft limiter problem pointed out that the increase in quantization bits Number and introduce jitter noise can be more saved than to improve system performance, and as long as the three-bit quantization of the system performance can be substantially infinite amount of his effect. The paper also discusses the fetch interval and ocean noise normalized bandwidth impact on system performance. The results of this paper designed for station management shake Phi DS digital matched device, prov)

基于RFE特征选择方法的多分类特征排序，Matlab平台(Multi class feature ranking based on RFE method)

用于各种信号的异常点的去除分析，以便于更好的利用数据(analyze gross error based on wavelet)