bayes

利用simulink动态仿真复杂控制系统中的串级控制系统的工作过程。(dynamic simulation using Simulink complex control system of cascade control system in the process.)

matlab带噪声周期信号的自相关运算代码仿真有图(autocorrelation matlab periodic signal with noise)

dwt based watermarking and enhanced results .............

用阵列光电传感器实现空间窄带陷波功能时，采用右图所示的空间权重结构：共有N=2M+1个敏感元件，各敏感元件宽为w，间距为p，中心处敏感元件的权重为+2M，其他2M个敏感元件的权重皆为-1。求此权重函数的傅立叶变换及空间功率谱，并绘图说明当N=7，p=1mm，w=1/３mm时的空间功率谱的零点特征及其应用意义。(With a photoelectric sensor array to achieve narrow-band notch function space, with the weight shown on the right of the space structure: a total of N = 2M+1 a sensitive element, the sensor width w, spacing p, the center of the sensitive components of weight+2 M, 2M a sensitive element of the other weights are all-1. This function find the Fourier transform of the weight and space power spectrum, and the drawing shows that when N = 7, p = 1mm, w = 1/3mm space power spectrum at zero characteristics and application significance.)

递推最小二乘算法，MATLAB程序，系统辨识(Recursive least squares algorithm, MATLAB program)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.

该程序仿真了机载雷达对地面微动目标成像过程及结果。验证了微动的成对回波理论及微动对雷达成像造成的影响，改变微动参数，可看到鬼影点、灰度条带、直线圆列等由于微动参数不同而产生的不同现象。(refer to the chinese introduction)

这是一个可以对随机信号进行加噪，并通过QPSK和8PSK解调后，并分析误码率的程序，为m文件，比较简单，纯粹是调用自带函数制作的(This is a random signal can add noise, QPSK and 8PSK demodulation through, and after the procedure error rate analysis for the m file, relatively simple, purely native function calls made)

本程序直接摘自文献： ％ S. K. Mitra. Digital Signal Processing: A Computer-Based Approach. Second Edition, ％ McGraw-Hill,2001 清华大学出版社，2001(directly extracted from the literature : S. K. Mitra%. Digital Signal Processing : A Computer-Based Approach. Second Edition. % McGraw-Hill, 2001 Tsinghua University Press, 2001)

wsn 轮询覆盖算法 同学做的 还行，需要用的可以来看看(wsn algorithm)