Aperiodic-iterator

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)

Simulink model of shunt active power filter.

CDMA CODE, YOU CAN MODIFY IT AND SEE HOW IT WORKS FOR YOU. IT WORKS JUST FINE FOR ME.

基于GUI的图像分割：在不均匀光照情况下的图像的阈值图像分割(Image segmentation based on GUI: under the condition of non-uniform illumination image threshold image segmentation)

CW脉冲信号的仿真，加多普勒延时后的频谱图(CW pulse signal simulation, Jiaduopule spectrum after delay)

在MATLAB平台下，利用龙贝格公式和高斯公式，求解数值积分，源码(In the MATLAB platform, using Romberg formula and the Gauss formula, solving numerical integration, source code)

rbf neural network approximation

MATLAB中的语音信号分帧， 语音分析中的窗函数， 语音信号短时时域处理， 语音信号短时频域处理(MATLAB voice signal framing, Voice analysis window function, Short time-domain speech signal processing, Short speech signal in the frequency domain processing)

EMD algorithm..used in speech processing, breaks trhe signal upto fundamental levels

other matlab for implement