EVALUATING-MPPT-CONVERTER-TOPOLOGIES-USING-A-MATL

关于MATLAB对属性约简的程序。适合初学者，看看，共同学习(On MATLAB for the attribute reduction procedures. Suitable for beginners, take a look at the common learning)

主要是基于mtlab的程序，DoIqpNo参数是机器学习的例程，预报误差法参数辨识-松弛的思想，具有丰富的参数选项,Uwcywde条件基于matlab GUI界面设计,采用了小波去噪的思想。( Mainly based on the mtlab procedures, DoIqpNo parameter Machine learning routines, Prediction Error Method for Parameter Identification- the idea of relaxation, It has a wealth of parameter options, Uwcywde condition Based on matlab GUI interface design, Using wavelet denoising thought.)

说明：  基于kalman滤波的gps组合导航滤波算法(Filtering algorithm of GPS Integrated Navigation Based on Kalman filtering)

门信号的波形及其频谱；付里叶变换的对称特性(Gate signal waveform and its spectrum Fourier transform symmetry properties)

matlab与visual c++的联合编程(matlab and visual c++ programming)

Matlab Hankel变换源代码，可以直接当做MATLAB toolbox来使用( MATLAB toolbox ________________________________________________________ Hankel transform ________________________________________________________ ** Contents 1. Introduction 2. Requirements 3. Implementation details 4. References 5. Copyright 6. Warranty 7. History 8. Download 9. Trademarks ** Publisher Marcel Leutenegger marcel.leutenegger@epfl.ch EPFL STI IOA LOB BM 4.143 Tel: +41 21 693 77 19 Station 17 CH-1015 Lausanne 1. Introduction The Hankel transform of order n transforms rotationally symetric inputs in a computationally efficient manner. In particular, the Hankel transform of order 0 is equivalent to the two-dimensional Fourier transform of a rotationally symetric input. This package contains four implementations of the Hankel transform and the inverse Hankel transform, respectively. 2. Requirements ?MATLAB 6.0 or newer. 3. Implementation details The package ships fou)

连续隐马尔可夫识别程序。 包含的模块，可以比较完整地进行语言识别。 主要模块： Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m (speech recognize using HMM include 11 matlab fuction: Test.m Train.m viterbi.m baum.m pdf.m recog.m mixture.m mfcc.m )

实现近场波束形成，主要的还有加窗的功能，希望大家交流一下，其他的都不说了 ，近场波束和加窗(Achieve near-field beamforming, the main window also add features, I hope to share what the other did not say, near-field beam and windowing)

this program creates file list of a directory

This paper addresses the problem of segmenting an image into regions. We defi ne a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image. We then develop an effi cient segmentation algorithm based on this predicate, and show that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties. We apply the al-gorithm to image segmentation using two diff erent kinds of local neighborhoods in constructing the graph, and illustrate the results with both real and synthetic images. The algorithm runs in time nearly linear in the number of graph edges and is also fast in practice. An important characteristic of the method is its ability to preserve detail in low-variability image regions while ignoring detail in high-variability regions.