wrfquiver

This function is another tutorial on how to do computer vision type stuff with Octave/Matlab. It shows how to implement Hartley and Zisserman s "DLT" algorithm for estimating a homography from point correspondences

此程序用提升法实现第二代小波变换 我用的是非整数阶小波变换(This procedure used to enhance law to achieve the second-generation wavelet transform I use a non-integer-order wavelet transform)

说明：  这是一个用matlab开发的GPS跟踪源代码，其语言简洁，简单实用，有英文注释，是一个不可多得的范例(This is a development of the GPS tracking with matlab source code, the language simple, simple, practical, with English notes, is a rare example of)

matlab程序，里面有关于数学建模的各种程序，很实用(matlab program, there are various programs on mathematical modeling, it is practical)

MATLAB7.0辅助信号处理技术与应用，一本讲matlab，不错的电子书籍(MATLAB7.0 auxiliary signal processing techniques and applications)

说明：  DIFFRENTIAL EVOLOTION ALGORITHM

Matlab信号处理指导电子书，分数字信号处理工具箱、阵列信号处理工具箱和时频分析工具箱三大部分分别详解且均有实例，全书351page，很不错的matlab信号处理教程。(Matlab Single Processing)

matlab编写的用霍夫曼变换检测圆的算法 对初学者有帮助(Function uses Standard Hough Transform to detect circles in a binary image. According to the Hough Transform for circles, each pixel in image spac corresponds to a circle in Hough space and vise versa. upper left corner of image is the origin of coordinate system.)

本次实验是无线楼宇数据传输仿真，即在楼内实现点对点的无线数据通信，需要获得的关键是两点之间的距离和楼层衰减。通过了解914M的楼宇通信特性，建立楼宇数据通信系统的仿真模型，采用无线收发芯片NRF905,实现楼宇内的数据通信仿真分析。 (this experiment is building wireless data transmission simulation, in the building of peer-to-peer wireless data communications, need, the key is the distance between two points and the floor attenuation. 914 M by understanding the communication characteristics of the buildings, the establishment of building data communications system simulation models, adoption of wireless transceiver chip NRF905 achieve buildings on the simulation analysis of data communications.)

Camshitft算法，虽然opencv有Camshiift函数，但是用matlab写能更好的了解原理，呵呵！ (Camshitft algorithm, although the opencv the Camshiift functions, but to write a better understanding of the principle of using matlab, huh, huh!)