prediction-method

说明：  形态学成分分析二维图像(矩阵)使用高度复杂词典和稀疏矩阵促进处罚。(MCA of a 2D images using highly redundant dictionaries and sparstity promoting penalties.)

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.

matlab下用FFT求功率谱和幅值谱的代码(Power spectrum and Amplitude spectrum base on matlab)

Hilbert变换，经过测试，与matlab一致(Hilbert transform, tested, consistent with matlab)

Savitzky-Golay Filtering of a Speech Signal Smooth the mtlb signal by applying a cubic Savitzky-Golay filter to data frames of length 41.

用matlab画的一个类式koch的曲线(using Matlab painting a kind of curve-koch)

approximation simple function

说明：  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.)

A matlab source code in digital image processing using the smoothing and sharpening filers

This folder has two files for the simulation of universal motor. please run the *.m file to run the *.mdl file(This folder has two files for the simulation of universal motor. please run the*.m file to run the*.mdl file)