Wavelet_OMP

There are 5sample files of qpsk, ofdm, scfde, alamouti and space time codings. those of 5samples can be useful for using matlab user.

1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(1. Produce sine wave, square wave, and the white noise signal with Matlab, and their time-domain waveform display 2. FFT transform, display each spectrum, where the sampling rate, frequency, length optional data 3. RMS to make maps of the three signals, power spectrum, as well as the number of RMS map 4. Restored by inverse Fourier transform IFFT signal and displays the time domain waveforms sinusoidal signal recovery)

元胞自动机的matlab程序。 元胞自动机（CA）是一种用来仿真局部规则和局部联系的方法。典型的元胞自动机是定义在网格上的，每一个点上的网格代表一个元胞与一种有限的状态。变化规则适用于每一个元胞并且同时进行。典型的变化规则，决定于元胞的状态，以及其（ 4或8 ）邻居的状态。元胞自动机已被应用于物理模拟，生物模拟等领域。(Cellular Automata matlab procedures. Cellular Automata (CA) is a simulation used to contact the local rules and local approach. A typical cellular automaton is defined in the grid, each grid point represents a cell with a limited state. Changes in the rules applicable to each cell and at the same time. Typical changes in the rules of decision in the cellular state, as well as its (4 or 8) neighbor state. Cellular Automata have been used in physical simulation, biological simulation and other fields.)

电力系统分析 随书光盘 源代码， MATLAB编写，有参考价值(CD-ROM with the book Power System Analysis)

说明：  这是一段关于matlab的for循环的研究演示例子的说明(This is the section on Matlab for recycling demonstration examples of the note)

用matlab实现了对于离散系列在时域上求其现行卷积(Achieved with matlab for the discrete series in the time domain convolution seek their existing)

very useful for inverter design in power electronics

包括一些Probability_and_Stochastics 蒙特卡洛算法等程序。。。(Including some Probability_and_Stochastics Monte Carlo algorithms and other procedures. . .)

A toolbox to handle 2D curve and multiresolution representation of curve(A toolbox to handle 2D curve and multiresol ution representation of curve)

sparse recovery and sparse definition to test different recovery algorithms in compressed sensing