jpegdemo

MATLAB 阻抗计算例子1，很有参考价值。。(MATLAB impedance calculation example 1, a good reference. .)

PSK信号载波相位符号定时联合估计程序(PSK symbol timing signal joint estimation of carrier phase process)

说明：  MATLAB实现的RS检测与LSB隐写构造分析。(MATLAB implementation of the RS detection and structural analysis of LSB Steganography.)

基于matlab平台，用mallat算法对图像进行降噪处理(Based on matlab platform, with mallat algorithm for image noise reduction processing)

有关阵列天线的matlab仿真， 1、给出阵元的个数，阵元的间隔以及波长 2、计算方向图并绘制不同的方向图，有规律的排列 3、计算出主瓣宽度，3dB带宽，主瓣与第一旁瓣的幅度比（以dB作单位）(Array antenna matlab simulation, 1, to the number troupe, interval, and the wavelength of the array element 2, calculate the pattern and draw a different pattern, a regular arrangement of 3, calculate the width of the main lobe, 3-dB bandwidth of the main lobe and the first side lobe amplitude ratio (in dB as a unit))

巴特沃斯和切比雪夫低、带通滤波器matlab程序，能播放、读取音乐，加噪，滤噪等。画出加噪前、加噪后、滤波后波形。(Butterworth and Chebyshev low, band-pass filter matlab procedures, can play music, reading, adding noise, filtering etc.. Before the addition of noise, plus noise, after the filter waveform.)

蕞优分组周游路线问题是一类物流智能调度问题，是众多的计算难度极大的组合爆炸问题之一。自从运输问题最早是由Hitchcock在1941年提出的[2][4]后，人们对这一类问题给予了极大的关注并进行了大量的研究，提出了有效解决问题的优化算法——单纯形法的变形[2]。但由于问题规模的扩大，纯数学方法在允许的时间和空间上都很难找到问题的最优解，于是人们开始转向寻找问题的近似最优解，遗传算法以其在求解最优化问题中的独特的自组织性、自适应性很快进入人们的视野。 经典的遗传算法对于求解多目标的NP完全性问题非常有效，但对于有多个限制条件的多目标最优化问题缺显得有点力不从心，很难得到稳定度较高、收敛较快的解。本文提出的双层遗传算法模型给这一类问题提供了一个很好的解决方法，虽然建模条件限制了描述的问题的通用性，有待推广，但它能有效利用问题的领域知识，提高了求解效率，保证了解的可行性和最优性，算法思想极具推广潜力，可在其它物流智能调度问题求解算法设计中借鉴。(The most optimal packet travel route problem is a kind of intelligent logistic scheduling problem is one of combinatorial calculation difficult problem many. Since the transportation problem was first proposed by Hitchcock in 1941 after the [2][4], the people of this class of problems given great attention and made a lot of research, the deformation of [2] optimization, simplex method algorithm is effective to solve the problem of. But due to the expansion of the scale of the problem, the pure mathematical methods in the allowed time and space are very difficult to find the optimal solution of the problem, so people begin to turn to the approximate optimal solution for the problem, genetic algorithm in solving optimization problems with its unique in the self-organizing, adaptive soon entered people s field of vision. Very effective classical genetic algorithm for solving multi-objective NP complete problems, but for the multi-objective optimization problem with multiple constraints. I)

PCA一种基于MATLAB软件的利用主元分析算法(PCA principal component analysis algorithm)

This program is used to calculate the correlation dimension. The algrithm is GP. Hope your interest.

this is used to find motion compensation. this is matlab code