communication-theory(MATLAB)

MATLAB关于绘图的设置与调整，这里主要举了一个列子说明，包括xy轴的比例、字号、线宽等(related about setting and adjustment of the graphic in matlab)

单向晶闸管整流电路仿真模型，可参见电力电子教材(Unidirectional thyristor rectifier circuit simulation model can be found in power electronics textbooks)

说明：  QC-LDPC基矩阵H的构建方法及MATLAB实现，具有详细解释(Various encoding and decoding methods of LDPC)

本方法是对二维医学图像实现的Walsh变换，属于预处理范围，为下一步的图像分割，配准等打下基础(This method is the realization of two-dimensional medical images of the Walsh transform, belong to the scope of pre-treatment, for the next phase of image segmentation, registration, etc. to lay the groundwork)

MATLAB程序：基于LS和MMSE算法的MSE比较(Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square error)

说明：  将机器学习分类的结果生成混淆矩阵，并画出混淆矩阵。。。。。。。。(generating confusion matrix and draw it)

说明：  在matlab上实现4PSK信号的调制和解调算法，并对结果进行仿真。(In the matlab achieve 4PSK signal modulation and demodulation algorithms, and simulation results.)

区域重力资料解释中的重要任务之一,是计算基底构造及莫霍面的构造(本文统称为基线构造)(Regional gravity data interpretation of the important tasks is to calculate the basement structure and Moho structure (herein collectively referred to as the baseline configuration))

说明：  时间混叠信号matlab程序,是利用时间混叠信号进行循环谱估计的前提。该程序用于证明时间混叠后信号为周期信号。(Time Aliasing)

这个MATLAB软件包实现了小波在一维Gabior样转换的文件中所述： [1] K.N.乔杜里，M.，王凤琴，“建设希尔伯特变换的双 波基和Gabor变换，“对信号的IEEE交易 加工，第一卷。 57，没有。 9，3411-3425，2009年9月。 作者：K.N.乔杜里。 模块如下： --------------------------- 1。 demo.m 一个简单的例子演示软件的使用。 2。 autcorr.m 计算自相关函数的频率响应。 3。 filters.m 计算尺度和小波滤波器。 4。 projectionFilters.m 到近似计算的投影最小二乘过滤器 空间。 5。 analysis.m 计算复杂的小波子在不同的分辨率。 6。 synthesis.m 从低通逼近和重构原始信号 小波系数。 7。 displayResults.m 显示输入信号，真实，小波虚componenets 子带，在每一项决议和其modlus和相位，也是 重建信号和错误的。 8。 exception.m(This MATLAB package implements the Gabior-like wavelet transform in 1-dimension as described in the paper: [1] K.N. Chaudhury, M. Unser, "Construction of Hilbert Transform Pairs of Wavelet Bases and Gabor-Like Transforms," IEEE Transactions on Signal Processing, vol. 57, no. 9, pp. 3411-3425, September 2009. Author: K.N. Chaudhury. The modules are as follows: --------------------------- 1. demo.m Demonstrates the usage of the software with a simple example. 2. autcorr.m Computes the frequency response of the autocorrelation function. 3. filters.m Computes the scaling and wavelet filters. 4. projectionFilters.m Computes the filters for the least-squares projection onto the approximation spaces. 5. analysis.m Computes the complex wavelet subbands at different resolutions. 6. synthesis.m Reconstructs the original signal from the lowpass approximation and the wavelet coefficients. 7. displayResults.m Disp)