matlab模糊PID实例

this code to enhanc grayscale images

用窗函数法设计FIR带通滤波器。指标：低端通带截止频率wlp=0.35π 低端阻带截止频率wls=0.2π。高端通带截止频率whp=0.65π 高端阻带截止频率whs=0.8π。 (Design of FIR with window function bandpass filter target: low-pass with cutoff frequency wlp = 0.35π low stopband cutoff frequency wls = 0.2π passband cutoff frequency of high-end whp = 0.65π high stopband cut-off frequency whs = 0.8π)

有关时间序列的计算，分析，结果输出的matlab原代码(For the calculation of time-series analysis, the results of the output matlab source code)

image quality measures

file for speech recognition

模糊综合评判源码，毕业论文时做的，在Matlab环境下的，想要的拿去(Fuzzy Comprehensive Evaluation of source code, when the thesis, in the Matlab environment, and want to take)

经典的EM算法实现，从外国网站上下来的，希望有用(classical EM algorithm may be helpful)

Twelve pulse converter for a single cycle of input twelve pulse will be available in output... simulation circuits..

MATLAB电子电路分析教程，值得大家仔细研究学习的好资料。(MATLAB Electronic Circuit Analysis tutorial, it is worth studying carefully all the good information.)

说明 在此分类的PRJ我们试图通过分配给每个签名的两个不同的公司标识由一个特别号码提取水平和垂直扫描每幅图像矩阵。每个标志图片被截断成二进制后调整大小。这是由核心例行imcount.m，而主编testpng.m运行compelte测试结果显示出来。每个标识的痕迹便可以进一步处理像一个合适的神经网络学习，推理机等熵类分类指数使用的系统是更好的有关报告，从http://cag.dat下载的解释。 demokritos.gr/publications/TR2011-1.pdf。 该例程index0.m提取每个图像矩阵的行/列聚类分析，现在可以用来替换为最新版本的“cluster.m“另一包“DEC2NARY“我们Mathworks公司提供的帐户中。 MATLAB的MATLAB的版本7.4（R2007a）(Description In this prj we attempt to classify a number of Company Logos by assigning to each 2 distinct signatures extracted by a special horizontal and vertical scan of each image matrix. Each Logo picture is truncated to binary after resizing. This is done by the core routine imcount.m, while the main prog testpng.m runs a compelte test and displays results. Traces of each Logo could then be further processed by an appropriate learning system like a Neural Net, an Inference Engine, etc. The entropic-like index used for classification is better explained in the associated report downloadable from http://cag.dat.demokritos.gr/publications/TR2011-1.pdf. The routine index0.m used for extracting the cluster analysis of each image matrix row/col can now be replaced by a most recent version "cluster.m", contained in another package "DEC2NARY" available by our Mathworks account. MATLAB release MATLAB 7.4 (R2007a) )