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matlab图像处理代码m函数 P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理 (matlab image processing function code m)

Imaging processing segmentacja

计盒分形维数计算的matlab源代码编程实现过程(Function [Fdgen NoisfreFD ]=fractaldim(y,Q,M) __________________________________________________________________________ Usage: Computes fractal dimension by box counting(BC) method. NOTE: Running the code may take a little time, because it calculates dimensions for all embedding dimensions up to M. This code is based on an algorithm that constructs a box for the first observation and for other observations test which it belongs to previous box(s). If the observation belongs to one of the existent boxes then increases number of points in the relevant box,otherwise makes a new box. the algorithm of this code uses only rounding down and it does not need binary coding, sorting and so on. It uses only transformation data to [0,2^32-1] and finding valid boxes based on Leibovich and Toth(1989). Inputs: y is a vector time series. q stands for generalized dimension q=1 entropy dimension,q=2 correlation dimension and so on. q=0 is box counting dimen)

matlab图像处理实例详解chap9——彩色图像处理(matlab image processing examples explain chap9- Color Image Processing)

说明：  负载均衡调度问题：假设有N个任务，需要负载均衡器分配给M个服务器节点去处理。每个任务的任务长度、每台服务器节点（下面简称“节点”）的处理速度已知，请给出一种任务分配方式，使得所有任务的总处理时间最短。CreateData文件(Load balancing scheduling problem: suppose there are n tasks, which need to be allocated to m server nodes by load balancer. The task length of each task and the processing speed of each server node (hereinafter referred to as "node") are known. Please provide a task allocation method to minimize the total processing time of all tasks.CreateData)

uwb无线电基础代码，第八章，超宽带信道与接收机 。(based on UWB radio code, Chapter VIII, ultra-wideband channel and receiver.)

本书包含MATLAB使用和数学知识的丰富层次。编著本书有四个主要目的：（1） 帮助初学者顺利跨入MATLAB大门；（2） 全面、多层次、细致而深入地叙述MATLAB中数值、字符串、胞元、构架、逻辑、函数句柄六种重要数据类型的应用规则、相互配用和编程规范；（3） 由浅入深地阐述MATLAB三种建模、分析、仿真环境——数值计算、符号计算和Simulink环境的特征和使用要领；（4） 以实例讲述MATLAB代表的现代计算能力对传统算法和思维的影响。(Book contains rich levels of using MATLAB and mathematics knowledge. Compiled the book has four main purposes: (1) help beginners MATLAB entered the door smoothly (2) comprehensive, multi-level, meticulous and thorough account Numbers, strings, cell yuan, in the MATLAB framework, logic and function handles six important application rules, with each other and programming of the data type specifications (3) describes the MATLAB distinguished three kinds of modeling, analysis, simulation environment, numerical and symbolic computation and Simulink environment characteristics and use of the essentials (4) with examples about MATLAB on behalf of the modern computing power s influence on the traditional algorithm and thinking. )

QPSK通过瑞利信道的MATLAB仿真 内含stbc等(QPSK Rayleigh channel through MATLAB simulation)

implementing the edge linking technique

使用统计方法进行系统不确定性的分析，包含m函数和Simulink模型(Using Statistics for Uncertainty Analysis in System Models)