SCM-2013-11-20

随机信号分析实验讲义08试用 实验一 随机信号通过线性系统和非线性系统后的特性分析 实验二 白噪声测试 实验三 白噪声的产生与测试 实验四 窄带信号及包络和相位检波（一） 实验五 窄带信号及包络和相位检波（二） 实验六 利用互相关测试系统单位冲击响应 实验七 白化滤波器的设计 实验八 微弱信号的检测提取及分析 实验九 随机信号的功率谱密度估计 实验十 模拟相关函数测量仪 实验十一 理想白噪声和带限白噪声的产生与分析 实验十二 色噪声的产生与分析 实验十三 窄带随机信号的仿真与分析 实验十四 准正弦信号通过非线性系统 实验十五 平稳随机过程的采样插值 实验十六 希尔伯特变换 实验十七 维纳滤波器设计 实验十八 随机信号的仿真与分析 实验十九 随机信号的调制解调分析 实验二十 随机信号经线性系统并行叠加后分析 实验二十一 随机信号经线性系统串行叠加后分析 实验二十二 随机信号经线性系统串并叠加后分析 实验二十三 窄带信号复检测系统分析 实验二十四 信号积累的检测系统分析 实验二十五 随机信号经同步积累器的分析(Random signal analysis of the handouts 08 trial)

This function Compute the CIEDE2000 color-difference between the sample between a reference with CIELab coordinates Labsample and a standard with CIELab coordinates Labstd The function works on multiple standard and sample vectors too provided Labstd and Labsample are K x 3 matrices with samples and standard specification in corresponding rows of Labstd and Labsample The optional argument KLCH is a 1x3 vector containing the value of the parametric weighting factors kL, kC, and kH these default to 1 if KLCH is not specified.

DDA line Algorithm for draw line by matlab

Gaussian mixture model digetal matlab procisssing

说明：  1. 连续和离散时间信号与系统的MATLAB表达及简要分析。 （1） 列出单位冲激函数、单位阶跃、复指数函数等连续信号的MATLAB表达式。 （2） 产生一个幅度为2，数字角频率为 ，相位为 的正弦序列。 (1. Continuous and discrete-time signals and systems and a brief analysis of MATLAB expression. (1) are listed in unit impulse function, unit step, complex exponential function, such as the MATLAB signal for expression. (2) produce a range of 2, the number of angular frequency for the sinusoidal phase sequence for.)

卡尔曼滤波的matlab实现。卡尔曼滤波的matlab实现。(Kalman filter matlab implementation.)

The purpose of this book is to teach fundamentals of programming concepts and skills needed for basic problem solving, all using MATLABW as the vehicle. MATLAB is a powerful software package that has built-in functions to accomplish a diverse range of tasks, from mathematical operations to three-dimensional imaging. Additionally, MATLAB has a complete set of programming constructs that allows users to customize programs to their own specifications.

hand write recognition using HMM matlab

fit_ML_rayleigh - Maximum Likelihood fit of the rayleigh distribution of i.i.d. samples!. Given the samples of a rayleigh distribution, the PDF parameter is found fits data to the probability of the form: p(r)=r*exp(-r^2/(2*s))/s with parameter: s format: result = fit_ML_rayleigh( x,hAx ) input: x - vector, samples with rayleigh distribution to be parameterized hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields s - fitted parameter CRB - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type- ML

说明：  用matlab语言实现傅里叶切片定理，以及基于反投影及滤波反投影的CT图像重建的程序设计试验(Matlab language with Fourier slice theorem, and on the back projection and filtered back projection image reconstruction program design CT test)