acf-code

Generate 2D spatial pattern like fractal brownian motion. Fractal Dimension can be modified as input parameter.

使用矩形窗函数，分析信号截短对离散傅立叶变换的影响，其中原始信号为正弦函数(Use a rectangular window function, the analysis of the signal truncated discrete Fourier transform, which the original signal is a sine function)

matlab求解最优潮流的程序，这个最优潮流可以计算电力系统的潮流(matlab to solve the optimal power flow program, the OPF can calculate power flow)

信号在信道进行传输时，经常会出现串扰，采用基于最大似然序列估计（MLSE）的电子色散均衡器的方法，克服光纤通信中的由各种色散引起的码间干扰。 研究基于最大似然序列估计（MLSE）的均衡器，采用维特比算法实现，用matlab仿真出采用MLSE后的性能指标（眼图和误码率）的提升。 (Signal transmission channel often occur crosstalk, based on the maximum likelihood sequence estimation (MLSE) electronic dispersion equalizer of the ways to overcome optical fiber communications in a variety of dispersion caused by the inter-symbol interference. Research based on the maximum likelihood sequence estimation (MLSE) of the equalizer, the Viterbi algorithm, a simulation using matlab after using MLSE performance indicators (eye diagram and bit error rate) of the upgrade.)

python document installation guide

this matlab simulink for identify pattern matching

二维FDTD仿真高斯脉冲的传播，设定了PMC边界条件，并且可以自动生成Ez、Hx和Hy的.avi文件播放。(Propagation of two-dimensional FDTD simulation Gaussian pulse, set the PMC boundary conditions, and can automatically generate Ez, Hx and Hy .avi files playback.)

This is Understanding LTE with Matlab book Houma Zarrinkoub

it is a z inverter.it use in power systems

信号稀疏表示是一种新兴的信号分析和综合方法，其目的就是在过完备字典中用尽可能少的原子来表示信号。采用时频原子字典的信号稀疏表示能够有效地揭示非平稳信号的时变特征。信号稀疏表示吸引了研究者的大量关注，这种方法已经被应用到信号处理的许多方面，例如非平稳信号分析，信号编码、识别与信号去噪等。(Signal sparse representation is a new method of signal analysis and synthesis, and its purpose is in over-complete dictionary of atoms using as little as possible to represent the signal. When using frequency atom dictionary signal sparse representation can effectively reveal the time-varying characteristics of non-stationary signals. Signal sparse representation attracted a lot of attention of researchers, this method has been applied to many aspects of signal processing, such as non-stationary signal analysis, signal encoding, recognition and signal denoising.)