DFT_implemenation

matlab非平稳信号噪声消除 小波变换(matlab denoise use wavelets)

基于AR模型的现代谱估计，分别实现自相关法，协方差法，Burg法，对比分析性能，及与经典谱估计的比较(AR model based on modern spectral estimation, respectively, to achieve auto-correlation method, covariance method, Burg method, comparative analysis of performance, and comparison of classical spectral estimation)

《精通Matlab6.5版》张志勇等编著，书本相关的PPT文件("proficient Matalab 6.5 version of the" Written by Zhang Zhiyong, books related to the PPT document)

四路抢答题，输入可以为四路不同信号，通过锁存抢答信号进行抢答。(Four-way scramble answer, for four different input signals, signals through the latch Answer Answer.)

这是关于rayleigh衰落信道的仿真mat源程序与大家共享(on rayleigh fading channel simulation mat source files and share)

simulink, example... class

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)

load flow study programme using gauss siedal method for infinite iteration

自己搭建的dc/dc变换器 ，里面采用PID法进行控制(To build their own dc/dc converter, which uses the PID control)

MATLAb 机械源码文件好东西啊 (MATLAB source files Machinery ah good stuff)