ccsystems2e_Chapter04

这是有关MATLAB学习的一些编程技巧和使用的一个程序示例(MATLAB STUDY)

用matlab开发交通带权图，在复杂网络中(Development of the traffic using matlab weighted graph, in a complex network)

优秀论文及配套源码。电压暂降是动态电能质量问题中最受关注的热点之一。大量新型电力电子设备的广泛使用对电网电能质量的要求越来越高，而且电压暂降在电网中又具有一定的传播性。因此，无论从电网还是用户都迫切需要对电压暂降进行研究和治理。对电压暂降的检测是解决电压暂降的前提条件，故本论文主要对电压暂降的检测方法进行研究。 本文分析了国内外短时电能质量扰动检测的研究现状，并着重讨论了短路故障、感应电动机启动和变压器激磁三种电压暂降扰动情况下电压暂降的特性；在此基础上选择了基于S变换的短时电能质量扰动检测方法，从S变换的结果S模矩阵及S复矩阵中提取出所需数据并以此来对各种扰动情况下的电压暂降的幅值、相位跳变、持续时间和谐波含量进行分析。仿真结果表明，该方法很好地实现了对电压暂降各特征量的检测。 (The voltage sag is one of most hot topics in dynamic electric energy problems. Masses of new power and electron facilities have been put into use widely, requiring a high quality of electric network and power, chiefly the voltage sag. Moreover, the voltage sag can spread in the electric network. So people have every reason to research and control the voltage sag. However, before developing the voltage sag, people have to detect it. On account of the above, this essay will chiefly focus on the detect methods of the voltage sags. In this paper, the status of the short duration power quality disturbance based on the different method are researched firstly, and emphasizes the characteristic of the voltage sag under the situation of the three kinds of voltage sag disturbances like the short circuit fault, induction motor start-up and transformer excitation. On the basis of the above, the short duration power quality disturbance detection method based on S transform is chosen. The complex m)

基于免疫算法的tsp问题的matlab程序 (Based on Immune Algorithm tsp problem matlab program)

Disparity determination matlab code to find the displacement of each and every pixel..

盲均衡算法2，采用的自适应算法为横模算法(Blind equalization algorithm 2, using the adaptive algorithm for the transverse modulus algorithm)

WAVELET IMAGE USING MATLAB

生成白噪声信号：包括采样频率，最大和最小频率，时间长度，幅值等要求的信号。(Generated white noise signal: including sampling frequency, maximum and minimum frequency, duration, amplitude and other requirements of the signal.)

The most widely used transform for image fusion at multi scale is Wavelet Transform since it minimizes structural distortions. But, wavelet transform suffers lack of shift invariance & poor directionality. These disadvantages are overcome by using our proposed method that is Un-decimated Discrete Wavelet Transform.

使用Matlab撰寫的超解析度影像迭代反投影重建方法(POCS Code for Super-Solution Image With Matlab)