Buck

说明：  数字图像原理包括8.1 图像 8.2 数字图像处理学 8.2.1 数字图像处理方法 8.2.2 数字图像处理的主要内容 8.3 图像文件格式 8.4 图像类型 8.4.1 索引图像 8.4.2 灰度图像 8.4.3 RGB 图像 8.4.4 二值图像 8.4.5 图像序列 8.4.6 图形类型判断 8.5 图像类型转换 8.5.1 dither 函数 8.5.2 gray2ind 函数 8.5.3 grayslice 函数 8.5.4 im2bw 函数 8.5.5 ind2gray 函数 8.5.6 ind2rgb 函数 8.5.7 mat2gray 函数 8.5.8 rgb2gray 函数 8.5.9 rgb2ind 函数 8.6 MATLAB 中的 8 位和 16 位图像 8.6.1 8 位和 16 位索引图像 8.6.2 8 位和 16 位灰度图像 8.6.3 8 位和 16 位 RGB 图像 8.7 图像文件的操作 8.7.1 查询图像文件的信息 8.7.2 图像文件的读取 8.7.3 图像文件的存储 8.7.4 图像数据类型的转换 8.7.5 图像文件格式的转换 (数字图像原理)

MATLAB的GUI制作例子，用MATLAB7.0打开.(MATLAB GUI examples produced using MATLAB7 open.)

viterbi硬判决的程序，包括绘制信能曲线图等。基于matlab实现(hard-decision viterbi procedures, including mapping, such as a letter to curves. Based on matlab realize)

This code implements the affects of linear and non linear kernel.

matlab 读取GLDAS提供的grib数据，提供计算实例(matlab read GLDAS provided grib data, providing examples of calculation)

基于MATLAB数据采集系统的设计与实现(Design and Implementation of Data Acquisition System Based on MATLAB)

这是在matlab编程环境下，用小波变换实现的图像去噪处理程序。本程序可以直接加载电脑中的图片而不是使用matlab中自带的图像数据。适合小波变换去噪处理的初学者。(This is a programming environment in matlab, using wavelet transform for image denoising process. The computer program can load images directly instead of using image data that comes with matlab. Wavelet denoising for beginners.)

Reads TDMS files into Matlab. See TDMS_exampleFunctionCalls.m to get started. Advantages: - supports reading v2 files - doesn t require the NI DLL, thus it doesn t require 32bit windows - supports interleaved data - allows only reading names & properties to get a quick feel for what is in the file - Since streaming files can get large (many GB), allows only retrieving subsets of data via keep or ignore flags Doesn t yet support: - big endian files Doesn t support: - files with DAQmx data - files with unsupported Matlab data types (extended float, etc) I haven t written very many wrappers to change the output data into more traditional formats. I d appreciate any submissions of wrappers that people make (like my TDMS_dataToGroupChanStruct_v1 & v2). Thanks! If the function doesn t work for you please let me know.

本资料包括实验要求文档，报告文档，训练及测试数据，matlab源代码。就给定问题，利用SVM来进行分类。SVM包括hardmargin的线性和非线性内核，softmargin的线性和非线性内核分别来分类以及评估分类准确度(a MATLAB (M-file) program to compute the discriminant functiong for the following SVMs, using the training set provided：A hard-margin SVM with the linear kernel, A hard-margin SVM with a polynomial kernel, A soft-margin SVM with a polynomial kernel as given above)

利用全变差模型对图像实现去噪、去卷积、复原等功能(Total variation model using the image to achieve denoising, deconvolution, and recovery functions)