cp0201_transmitter_2PPM_TH

some programs for image processing written in matlab.

bayes shrink denoising

This report explains the queuing systems in a small clinic which has two types of queuing systems and can be denoted by Kendall’s notation M/U/1 and M/M/2. The confidence intervals for necessary queuing parameters are calculated for both of the queuing system. Finally in the view of the results the critical issues are discussed.

本文为用matlab编写的SIFT算法希望大家相互交流心得体会(This article was written by SIFT algorithm matlab hope we exchange feelings and experiences)

基于MATLAB-SIMLINK系统中xPC的TPMS数据采集系统的设计(Based on of xPC the TPMS data acquisition system design)

多目标的DOA估计 对多个目标的DOA来向进行跟踪，估计其来向角度等信息(DOA estimated)

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)

matlab指令大全，基础学习必然会用得着(the matlab instruction Daquan, the basis of learning will certainly need it)

License Plate Recognition Image Processing in matlab

patchwork算法实现低通滤波，高斯噪声，水印的嵌入与提取(patchwork algorithm to achieve low-pass filtering, Gaussian noise, the watermark embedding and extraction)