CIC

说明：  Lorenz 系统利用龙格库塔来用Matlab编程(Lorenz system using Runge-Kutta to use the Matlab programming)

由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)

this is a powerfull code in mix and hidden picture in another pic for staginography

本工具包给出了PDE常见的求解方法程序。PDE数值求解应用相当广泛。(The kit gives the common method for solving PDE program. Numerical Solution of PDE has been widely used.)

最优分类法，用于找出数据的变差举证，并确定分类数(Optimal classification of evidence used to identify the data variation and to determine the number of classification)

利用基于粒子群算法的灰色模型对航空发电机进行状态趋势分析技术研究，所得到的分析结果平均相对误差为3.99 。此模型为粒子群优化算法对GM(1,1)模型的改进模型，因此称为基于粒子群优化算法的GM(1,1)模型。(Using aviation turbine gray model based on particle swarm optimization state trend analysis technology research, analysis the average relative error is 3.99 . This model for particle swarm optimization algorithm improved model GM (1,1) model, the so called GM (1,1) model based on particle swarm optimization algorithm.)

MATLAB文件。《超宽带无线电基础》配套程序，第二章第一个例程。用于产生PPM编码。(MATLAB file. Ultra-wideband radio base matching program, the first chapter of a routine. PPM for generating code.)

根据对所输入的png格式的真彩图像、小波类型（db9或haar）和相应的阈值进行了三级非标准小波harr或db9的分解和重构，从而达到了对原图像的压缩处理的 (Entered based on the true color of the png format images, wavelet type (db9 or haar) and the corresponding threshold for the three non-standard or harr wavelet decomposition and reconstruction of the db9 to achieve a compression of the original image processing)

分数傅立叶变换的源代码，可哟骂你过于图像处理，目标识别，信号检测等。尤其善于处理线性调频信号。(scores Fourier transform source code, you can yo scolded too image processing, target recognition, signal detection. Particularly good at handling linear FM signal.)

Demonstration of the reproduction of a generalized trajectory through Gaussian Mixture Regression (GMR), when considering two independent constraints represented separately in two Gaussian Mixture Models (GMMs). Through regression, a smooth generalized trajectory satisfying the constraints encapsulated in both GMMs is extracted, with associated constraints represented as covariance matrices.