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wavelet小波处理算法及其应用。包含了小波处理的基本应用，图像的去噪等等处理(wavelet implementation)

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))

该程序为RLS算法性能分析的MATLAB程序。(RLS algorithm)

shabake asabiPerceptron.m

介绍局部均值分解（一种非平稳信号处理方法）的文献。原理算法、故障分析等。(Literature describes the local mean decomposition (a non-stationary signal processing methods). Principle algorithms, fault analysis, and so on.)

说明：  用Matlab编写的一款计算调和常数的程序包，附有数据，非常适合想要用matlab计算调和常数的爱好者(Using Matlab prepared a calculation of harmonic constants package, accompanied by data, very suitable for the calculation you want to use matlab to reconcile the constant lovers)

说明：  本资料中包含了许多适用于matlab初学者的程序，资料中的程序适用于研究生的数字信号处理。(This information includes a number of procedures applied to matlab for beginners, information for graduate programs in digital signal processing.)

simulating SIMO STBC in rayleigh fading channel with jakes method

The function alphaBetaFilter implements a generic algorithm for an alpha-beta filter that is a linear state estimation for position and velocity given an observed data. It acts like a smoothing. Also closely related to Kalman filters and to linear state observers used in control theory. Its principal advantage is that it does not require a detailed system model.

运用星座图重排策略的HARQ方案，与chhase combined 方案的比较仿真 (Using constellation rearrangement strategy HARQ scheme, comparing simulation program chhase combined)