2PSK-modem-emulation

de-nosie using wavelet

Compressive sampling is an emerging technique that promises to effectively recover a sparse signal from far fewer measurements than its dimension. The compressive sampling theory assures almost an exact recovery of a sparse signal if the signal is sensed randomly where the number of the measurements taken is proportional to the sparsity level and a log factor of the signal dimension. Encouraged by this emerging technique, this thesis briefly reviews the application of Compressive sampling in speech processing. It comprises the basic study of two necessary condition of compressive sensing theory: sparsity and incoherence. In this thesis, various sparsity domain and sensing matrix for speech signal and different pairs that satisfy incoherence condition has been compiled.

基于快速傅立叶变换的电机中的谐波分析 和提取(Motor based on fast Fourier transform analysis and extraction of the harmonic)

this is image filter design

matlab快速傅里叶变换程序代码，一看就会！(Fast Fourier transform matlab code, a look will be!)

这是一个简单的卡尔曼滤波的matlab仿真程序(This is a simple Kalman filter matlab simulation program)

Table Breakpoint Optimization (A set of tools for finding the best way to reduce the size of a table)

基于最大类间方差阈值与遗传算法的道路分割，是基于最小二乘法的改进(Based on road Otsu threshold segmentation and genetic algorithm is based on the least square method to improve)

基于 汽车跟驰模型OVM 和 IDM 的动态特性分析（2辆车）(Dynamical Characteristics of OVM and IDM Using Two Car Simulation for two vehicles.)

元胞自动机交通流模型,双车道模型，变道。(traffic flow model based on Cellular automaton)