work

自学matlab的好书，适应于初学者，大家好好学习哦，加油(Learning matlab' s books, adapted to beginners, we learn oh, come on)

MATLAB6.5辅助优化计算与设计, 全面介绍了优化方法的基础理论和优化工具箱函数的功能，语法和工程实际应用。(MATLAB6.5 assisted optimization and design, a comprehensive introduction to optimization theory and the basis for optimization toolbox of functionality, grammar and practical application.)

几何纠正论文集合，供参考，供参考供参考供参考(Collection of geometric correction paper, for reference, for reference for information for reference)

Slam written in c++

matlab与C语言的接口教程，能将matlab程序语言 直接转换为c语言，非常详细，千万不过错过，快点下吧！！！！(the interface of matlab with C language )

matlab函数,运算符速查，doc格式(matlab function Quick Fact)

Matlab多种图像边缘检测方法 1、用Prewitt算子检测图像的边缘 2、用不同σ值的LoG算子检测图像的边缘 3、用Canny算子检测图像的边缘 4、图像的阈值分割 5、用水线阈值法分割图像 6、对矩阵进行四叉树分解 7、将图像分为文字和非文字的两个类别 8、形态学梯度检测二值图像的边缘 9、形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(Matlab a variety of image edge detection method 1, using Prewitt operator edge detection image 2, with different values of σ LoG operator edge detection image 3, the detection operator Canny edge image 4, image segmentation threshold 5, water line image segmentation threshold 6, on the matrix quadtree decomposition of 7, the image is divided into text and non-text for these two types of 8, detection of morphological gradient of the edge binary image 9, morphological examples- from the PCB images to remove all current lines, retaining only the target chip)

多普勒信号模型，多普勒信号快速傅立叶法分析频谱，FFT(Doppler signal model, the fast Fourier analysis of Doppler signal spectrum, the FFT)

PLS部分最小二乘工具箱（主程序）挺好用的数据分析程序。在matlab环境运行。(main)

This is a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is "runsim.m".It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file "runsim.m". This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options. (This is a GUI based system. The GUI is invoked from the command line by typing " ui_start" . The GUI is self explanatory. Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is " runsim.m" . It is recommended that 10000 runs (packets) be used for plotting frame error rates and 5000 runs for BER/SER. Obviously, you would require a fast machine!!! At least a P4 machine. We have used trace criterion for 4PSK states 4,8 and 16 as an example for 2x2 cases. The reader can use rank and determinant criteria, by commenting the trace criterion lines and copying the rank and determinant lines from the respective 2x1 cases. The SNR range can be varied by correcting the range at line 36 of file " runsim.m" . This software has been tested with MATLAB version 6.0 and above with signal processing and communications toolbox options.)