A-Pattern-Recognition--

这是用matlab编写的最优化理论中的单纯形法的程序(This is using matlab optimization theory in the simplex method procedure)

Multimedia projector LPA SETUP IMAGE

• Plot the noisy speech signal both in time-domain and frequency-domain. • 进行含噪语音信号的时频分析 • Design a proper filter to remove noise from the speech signal. • 设计合适滤波器进行去噪 • Plot the clean signal both in time-domain and frequency-domain. • 进行去噪后信号的时频分析 • Design a Reverberator using 4 Comb filters and 2 All-pass filters, as shown in the following Figure, to generate reverberated and reflected sound with the capability of passing it through an equalizer. • 设计一个混响器（用四个梳状滤波器和两个全通滤波器（下图所示））来产生回声（通过一个均衡器（用于调整频率的补偿和衰减））

对于一般的二值图像，可以将图像中的符号提取出来。(For the average values of two images, the symbols can be extracted from the image.)

用MATLAB实现BA无标度网络、小世界网络，规则网络等复杂网络中常用的基本模型的计算机仿真程序(Using MATLAB BA scale-free networks, small-world networks, rules, networks and other complex networks commonly used in the basic model of a computer simulation program)

Layout Params Parser Source Code for Andriod.

说明：  matlab图像处理小程序,包括，图形显示、滤波，除噪、变换等。适用于一些新手。(MATLAB image processing procedures, including graphics display, filtering, denoising and transform. Apply to beginners.)

基于MATLAB的8ASK数字调制系统设计的程序设计,别人编写的.(MATLAB-based digital modulation system design 8ASK the program design, others prepared.)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

说明：  双稳系统随机共振仿真与实例，用于弱信号的检测(Bistable stochastic resonance simulation instance, for the detection of weak signals)