exe_matlab

基于802.16e协议的垂直切换建模与仿真，讲的非常详细，基于NS-2平台的。(802.16e protocol vertical handoff model and simulation)

matlab code for image segmentation

mintreek.m 最小树枝生成发函数(the smallest branches generated hair in mintreek.m function)

高精度、低功耗模数转换器是当今集成电路设计模拟领域的研究热点之一，采用sigma-delta调制原理和过釆样原理的模数转换器广泛使用在音频、数字网络、电子测量等系统中。此类模数转换器，为降低信号带内的量化噪声功率，而釆用噪声整形技术，为提高模数转换器的信噪比，使用过采样技术，将基带中的量化噪声调制到了高频区域，这样就增加了基带中的信噪比，也就是增加了转换器的有效量化位数，由于采用较高的过采样率，Sigma-Delta ADC的转换速率相对较低，高精度和较低转换速率的特点，使得Sigma-Delta ADC特别适用于测量。(High precision, low power analog to digital converter is in today s integrated circuit design simulation has become one of the hot research field, the principle of sigma-delta modulation and ADC sampling principle is widely used in audio, digital network, electronic measurement system. This type of analog-to-digital converter, in order to reduce the quantization noise power signal in the band, and the use of noise shaping technique, in order to improve the SNR of the analog-to-digital converter, using the oversampling technique, modulate the quantization noise in the baseband to the high frequency region, which increases in the baseband signal to noise ratio, that is to increase the effective number of quantization bits converter, due to the sampling rate is high, the Sigma-Delta ADC conversion rate is relatively low, the characteristics of high accuracy and low conversion rate, so that Sigma-Delta ADC is especially suitable for measuring)

Input data set for data classication MATLAB NN

This code develops dimensionless pressure, load carrying capacity, coefficient of friction, power loss, locations of maximum and terminating pressure for a finite width journal bearing. Parameters can be varied in the main file.

数学方法是部分子空间法，多机电力系统仿真及其潮流计算，用于特征降维，特征融合，相关分析等。( Mathematics is part of the subspace, Multi-machine power system simulation and flow calculation, For feature reduction, feature fusion, correlation analysis.)

说明：  OFDM源代码，基于MATLAB系统仿真(OFDM simulation source code)

　计算机人脸识别技术( Face Reocgnition)就利用计算机分析人脸图像,从中提取出有效的识别信息,用来辨认身份的一门技术。[ 1 ]即对已知人脸进行标准化处理后,通过某种方法和数据库中的人脸样本进行匹配,寻找库中对应人脸及该人脸相关信息。人脸自动识别系统有两个主要技术环节,一是人脸定位,即从输入图像中找到人脸存在的位置,将人脸从背景中分割出来,二是对标准化后的人脸图像进行特征提取和识别。本文中介绍的PCA (特征脸)方法就是一种常用的人脸 特征提取方法。(Computer Face Recognition Technology (Face Reocgnition) on the use of computer analysis of facial image, to extract the valid identification information used to identify the status of a technology. [1] that is known to standardize treatment of face, through a method and a database of face samples for matching, search library, the corresponding face and the face-related information. Automatic face recognition system has two main technical aspects, first, face location, that is, from the input image to find the location of the face there, the faces will be split out from the background, the second is, the standard features of face images extraction and recognition. Described in this paper PCA (Eigenfaces) method is a common facial feature extraction method.)

chord recognition ，major chord,minor chord and transporition of text document.