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MATLAB环境下基于OFDM系统的前导序列中短训练序列的误差估计仿真程序(the offset of the short training sequence of preamble)

灰色系统理论中的灰色预测模型，多元灰色预测模型的构建，可用于系统建模，控制系统，模型设计，预测控制，视觉目标跟踪中的运动预测等应用。(Grey prediction model in Grey System Theory can be applied in system modeling, control system, model design, prediction control and motion estimation in visual object tracking, etc.)

1、基本要求： (1)频率测量 测量范围：1HZ~1MHZ，信号为方波、正弦波；幅度为0.1V~5V； 测量误差： 0.1 （以NFC—10A为准）。 (2)周期测量 测量范围：1HZ~1MHZ，信号为方波、正弦波；幅度为0.1V~5V； 测量误差：， 0.1 （以NFC—10A为准）。 (3)脉冲宽度测量： 测量范围：脉冲宽度不超过100μS，信号为脉冲波，幅度为0.1V~5V； 测量误差： 0.1 。 (failed to translate)

说明：  利用FFT对原信号进行变换，然后在频域进行处理，再使用IFFT进行反变换，达到滤波的目的。(use FFT and IFFT to filter)

LDPC code construction

simple plot and show image matlab code with dll for .net app

最小均方算法在DPSK和4QAM中的实现，很有用啊，还有word文档介绍基本原理(least mean square algorithm for DPSk and 4QAM transmission )

Uniquac liquid liquid extraction this equation is one of the most commonly used equation for Gammas estimation

对时间序列或者信号进行fft谱分析，可以打开任意数据文件后分析，很方便使用。(FFT transfer of matlab code,it is useful for signal analysis.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!