ChaosInitPSO

本文简要介绍了语音信号采集与分析的发展史以及语音信号的特征、采集与分析方法，并通过PC机录制自己的一段声音，运用Matlab进行仿真分析，最后加入噪声进行滤波处理，比较滤波前后的变化。(This paper introduces the voice signal acquisition and analysis of the history and characteristics of speech signals, sampling and analysis methods, and through a PC, record your own voice, use of Matlab simulation and analysis, and finally adding noise filtering, comparing before and after filtering change.)

信号检测与估值，16PSK系统仿真及误码性能的估计(Signal detection and valuation 16PSK system simulation and BER estimates)

convex optimization building language(YALMIP toolbpx)

RPCA (Robust Principal Component Analysis)是目前用于矩阵填充、图像去噪的最有效的优化方法。该代码是求解RPCA的一种数值算法——Exact ALM（Exact Augmented Lagrange Multiplier）(The most basic form of the exact ALM function is [A, E] = exact_alm_rpca(D, λ), and that of the inexact ALM function is [A, E] = inexact_alm_rpca(D, λ), where D is a real matrix and λ is a positive real number. We solve the RPCA problem using the method of augmented Lagrange multipliers. The method converges Q-linearly to the optimal solution. The exact ALM algorithm is simple to implement, each iteration involves computing a partial SVD of a matrix the size of D, and converges to the true solution in a small number of iterations. The algorithm can be further speeded up by using a fast continuation technique, thereby yielding the inexact ALM algorithm.)

explore the r g b components of a given image. see different images according to the r g b component chosen

you can plot the Array function of Smart Antenns

广义有序统计类恒虚警检测器（GOS-CFAR），包括广义有序平均检测（GOSCA）和广义有序最值检测（GOSGO和GOSSO）(detectors based on the general ordered statistic constant false alarm rate (GOS-CFAR) technique.)

this is Illustration of linear least squares.

通过重心法确定光斑图像的中心。根据个像素的灰度值和所在的位置乘积和总面值作比，进而求得重心。(Through the center of gravity method to determine the center of the image spot. According to the gray-scale pixel value and the location of the product and the total for more than face value, and then get the focus.)

蚁群算法的MATLAB实现,有详细的注释（ACO_VRP.m）(ACO_VRP)