wavelet_function

基于谱减法语音增强matlab程序，很好的去除噪声，得到增强的语音信号(Speech enhancement based on spectral subtraction matlab program, very good to remove noise, enhanced voice signal)

MATLAB codes for blind forgery systems

压缩感知oompf重构算法代码，写的不错，比较新的一个算法(Compressed sensing reconstruction algorithm based on oompf code)

MATLAB CODE FUNCTION CASCADE DETECT FACE AND RECOGNITION

对雷达的未知雷达部分选择进行分选的程序,主要使用Ｃ语言实现的算法(Part of the unknown radar radar selection procedures for separation, the main algorithm using C language)

说明：  雷达回波信号消噪的仿真与实现，有详细程序并有注释。(Radar echo signal de-noising of the simulation and realization of)

不同信噪比下，利用MUSIC算法实现AIC,MDL,HQ,EDC(Different signal to noise ratio, the use of MUSIC algorithm AIC, MDL, HQ, EDC)

将压缩感知用于谱估计中，根据论文谱压缩感知的一些程序(Compressive sensing (CS) is a new approach to simultaneous sensing and compression of sparse and compressible signals based on randomized dimensionality reduction. To recover a signal from its compressive measurements, standard CS algorithms seek the sparsest signal in some discrete basis or frame that agrees with the measurements. A great many applications feature smooth or modulated signals that are frequency sparse and can be modeled as a superposition of a small number of sinusoids. Unfortunately, such signals are only sparse in the discrete Fourier transform (DFT) domain when the sinusoid frequencies live precisely at the center of the DFT bins. When this is not the case, CS recovery performance degrades significantly. In this paper, we introduce a suite of spectral CS (SCS) recovery algorithms for arbitrary frequency sparse signals. The key ingredients are an over-sampled DFT frame, a signal model that inhibits closely spaced sinusoids, and classical sinusoid parameter e)

异步电机的直接转矩控制，磁链为六边形磁链，仿真环境为mtlab。(Asynchronous motor direct torque control, flux hexagonal flux, simulation environment is mtlab.)

可以模拟双车道换道,可以得到速度、换道数等微观交通流参数( it can simulate two-lane lane)