Bearingplotscustom

Matlab的曲线拟合（CFT）工具箱详细的使用说明，版本Matlab7(Matlab curve fitting toolbox reference Version:Matlab7)

基于MATLAB的数字水印程序，我不懂大家下着看吧(MATLAB-based digital watermarking process, I do not know how we look forward to the next)

Matlab is an ideal tool for simulating digital communications systems, thanks to its easy scripting language and excellent data visualization capabilities. One of the most frequent simulation tasks in the field of digital communications is bit-error- rate testing of modems. The bit-error-rate performance of a receiver is a figure of merit that allows different designs to be compared in a fair manner. Performing bit-error-rate testing withMatlab is very simple, but does require some prerequisite knowledge.

Emulates a Turing Machine

很好的matlab教程，交你学回如何利用matlab编程，是个很不错的教程！(good Matlab and guidance to pay you to learn how to use Matlab programming, it is a very good tutorial!)

使用matlab进行hough变换，细节原码，并有输出显示(Use of matlab hough transform, detail of the original code, and output display)

matlab simulink buck电路的 PID 仿真模型 matlab 2010以上可用(matlab simulink DC-DC chopper buck PID model matlab version 2010)

The unified power quality conditioner (UPQC) is a custom power device, which mitigates voltage and current-related PQ issues in the power distribution systems. In this paper, a UPQC topology for applications with non-stiff source is proposed.

对某一高斯信源的DCPM编码和检验，对学习DPCM的原理具有参考作用。在matlab7环境下运行正常(Of a Gaussian source coding and testing of DCPM, DPCM on the principle of learning the role of a reference. Matlab7 environment in normal operation)

奇异谱分析是近年来兴起的一种研究非线性时间序列数据的强大的方法。它根据所观测到的时间序列构造出轨迹矩阵，并对轨迹矩阵进行分解、重构，从而提取出代表原时间序列不同成分的信号，如长期趋势信号、周期信号、噪声信号等，从而对时间序列的结构进行分析，并可进一步预测。(Singular spectrum analysis is a powerful method to study nonlinear time series data in recent years. According to the time sequence structure of the observed path matrix, and the trajectory matrix is decomposed and reconstructed, thus extracting the signal representative of the original time series of different components, such as the long term trend signal and periodic signal and noise signal, through analyzing the structure of the time series, and further predict.)