HiJ-based-sliding-mode-cotrol

matlab code,solve equations using gauss method.

gilbert strang matlab Computational Science and Engineering

基于matlab的数字图像的二维傅立叶变换(FFT)以及二维离散余弦DCT变换，提供里详细代码，.m文件(Matlab-based digital image two-dimensional Fourier transform (FFT) and two-dimensional discrete cosine transform DCT offers in detailed code,. M file)

Toolbox for wavelet transform computation

本书主要介绍matlab的基本使用方法，适用于matlab初学者，很实用，很精简。(this book introduces the application method of matlab.it is helpful for the beginner of matlab.)

用虚拟机COM方式很慢.试试用这个吧,这个据说能提高十几倍哟.里面的read.txt文件我在VMWare中安装做了一下简要的中文说明. irpfind produces ~450KB/s traffic on VirtualBox and ~150KB/s on VMWare, significantly outperforming standard ~10KB/s COM Port(COM way using virtual machine is slow. Try it with this, this is said to increase more than tenfold yo. Read.txt document inside VMWare installed, I have done a brief description of the Chinese. Irpfind produces ~ 450KB/s traffic on VirtualBox and ~ 150KB/s on VMWare, significantly outperforming standard ~ 10KB/s COM Port)

Use shading to represent secondary information of an image(Use shading to represent secondary inform ation of an image)

QPSK信号的调制解调过程，内容包括带通滤波，脉冲成形，以及硬判决译码过程(QPSK modulation and demodulation process of the signal, including a band-pass filtering, pulse shaping, and a hard-decision decoding process)

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)

基于matab的simulink的回波抵消自适应滤波器中LMS算法、SVSLMS算法以及改进的SVSLMS算法的仿真修改设计(Based on echo offset the matab simulink in LMS adaptive filter algorithm, SVSLMS algorithm and improved SVSLMS algorithm simulation to modify design )