calib.0.0.2

在matlab环境下，构造LDPC码的校验矩阵的各种方法，包括Gallager构造法，Mackay构造法，PEG构造法，对以后的编译码算法有很大的帮助。(In the matlab environment, various methods LDPC code parity check matrix structure, including Gallager construction law, Mackay construction law, PEG construction method, after encoding and decoding algorithms are of great help.)

ofdm matlab Simulink

FIR数字滤波器广泛应用在数字通信系统中,研究其实现方法具有重要意义。Matlab功能强大,利用Matlab辅 助设计DSP应用程序,可大大缩短DSP应用程序的开发时间。介绍了Matlab和CCS及DSP的连接,说明了利用Matlab辅 助DSP实现FIR数字滤波器的过程,及如何在Matlab环境中调试DSP程序,给出了实现结果,并把该结果和单纯在Matlab 环境下实现结果进行比较,前者效果更好,更具有实际应用价值。 (FIR digital filters widely used in digital communication systems, research methods of their realization of great significance. Matlab is powerful DSP using Matlab-aided design applications, can greatly shorten the DSP application development time. Describes the Matlab and CCS and DSP connections, shows DSP using Matlab support the process of realization of FIR digital filters, and how to debug in the Matlab environment, DSP program, are given to achieve results, and to the results and simple in the Matlab environment, achieved results are compared, the former better, more practical application value.)

1．产生[0,1]均匀分布的白噪声序列 (1) 打印出前50个数 (2) 分布检验 (3) 均值检验 (4) 方差检验 (5) 计算相关函数 Bx(i),i=0,±1,±2,…, ±10 (1. Generated [0,1] uniformly distributed white noise sequence (1) print out the top 50 the number of (2) the distribution of test (3) the mean test (4) of variance test (5) calculating the correlation function Bx (i), i = 0 , ± 1, ± 2, ..., ± 10)

image processing information about roi applying for deblurring

seven level diode clamped multilevel inverter

利用Matlab提取图片中的数据 从事科研或者工程的人员在文档撰写过程中，常需要将文献中的曲线与自己的结果对比，为获取原始数据，一种常用的办法是手动描点，即将原始曲线放大然后打印出来，选取一定数量的点，读出其横纵坐标，然后重绘。对于较为平坦的曲线，这种方法当然可行，但当曲线数量增加，曲线变化复杂，这种方法工作量可想而知。前段时间由于原始数据丢失，仅剩几十幅图片，本人尝试过手动描点，经历几个小时奋战，实在无法继续，索性转向matlab，借助其强大的数据处理能力，编写了两个GUI的小软件image2data、data_poly提取数据，如今大功告成，遂于大家分享。(Using Matlab to extract picture data in scientific research or engineering personnel in the process of writing documentation, often need to curve in the literature comparing the results to obtain the original data, a common approach is described in the manual, is about the original amplification curve and then print it out, select a certain number of points, read out its horizontal and vertical coordinates, and then redraw. For a flatter curve, this approach is of course possible, but when the increase in the number of curves, the complexity of the curve, this method can imagine the workload. Some time ago due to the loss of original data, except for the dozens of pictures, I tried manually tracing point, after several hours of fighting, I can not continue to simply turn to Matlab, with its powerful data processing capabilities, the preparation of two GUI software image2data, data_poly extract data, and now you' re done, then share with you.)

此程序为模型预测控制算法中的动态矩阵控制算法，依据算法的控制思想，实现基本的控制。(This procedure is belong to the model predictive control. It is the DMC algorithm with real-time update module calculation, to complete the cycle simulation.)

人工蜂群算法MATLAB代码实现，内有调用说明，采用最精简的编写方式(Artificial bee colony algorithm MATLAB code implementation, inside the call description, using the simplex writing method)

THIS FILE CONTAINS IMPORTANCE OF IMAGE PROCESSING