ppdev

使用matlab实现的基于肤色的HSV颜色模型下的人脸检测(Matlab achieved using the HSV color based on the color model of face detection)

车辆信号的磁信号，利用的是各向异性磁阻传感器，信号是利用测试台采集回来的。(Vehicle signal magnetic signal, using the anisotropic magnetoresistive sensor, the signal is the use of test collection back.)

信号、图像对其求傅里叶变换时很普遍的频域分析，本程序提供对一维信号进行傅里叶变换，提出单边、双边变换！(Signal, images of their demand is very common when the Fourier transform frequency domain analysis, the program provides one-dimensional signals, Fourier transform, the unilateral, bilateral transform!)

color segmentation matlab code source

matlab一些典型例程，供初学者使用，互相学习啊，(Matlab some of the typical routines for beginners, learn from each other,)

该文件被用于人工数据集的测试。这些数据都是随机生成的。在百度中也可以搜索到相关内容。数据集名字为ultwotwo(this file can used for Performance Comparison on Artificial Data)

声纹识别的特征参数提取,盲信号用于语音识别maltab程序代码,里面有相关语音文件，很不错 (Voiceprint identification of the feature extraction and blind signal for speech recognition maltab code, which has the relevant sound files, very good)

本文介绍了分治法的基本思想和基本步骤，通过实例讨论了利用分治策略设计算法的途径。 目录 简介 分治法的基本思想 分治法的适用条件 分治法的基本步骤 分治法的复杂性分析 分治法的几种变形 分治法的实例分析 (This article describes the basic idea of sub-rule method and the basic steps, through an example design of algorithms using divide and conquer approach. Contents Introduction The basic idea of divide and conquer divide and conquer divide and conquer the conditions of application of the basic steps of divide and conquer the complexity analysis of divide and conquer divide and conquer several examples of deformation analysis)

异步电机矢量控制仿真，包含各种基础矢量控制仿真，包含速度环，电流环，励磁环等。(Asynchronous motor vector control simulation, including a variety of basic vector control simulation, including speed loop, current loop, excitation ring, etc.)

Matlab中没有现成的Hermite插值函数，必须编写一个M文件实现插值。 设n个节点的数据以数组x0 （已知点的横坐标）， y0（函数值）， y1（导数值）输入（注意Matlat的数组下标从1开始）， m个插值点以数组x 输入，输出数组y 为m 个插值。编写一个名为hermite.m的M文件。 (Matlab is not off-the-shelf Hermite interpolation function, we must realize the preparation of a document M interpolation. N nodes for the data to an array x0 (known point of abscissa), y0 (function value), y1 (numerical derivative) input (note the subscript Matlat array starting at 1), m to the array of interpolation points x input and output array y for m months interpolation. Hermite.m the preparation of a M-file.)