matlab

采用matlab进行数值的逼近，用神经网络实现的。 (Using matlab numerical approximation, using neural network realization.)

matlab具体应用，在数字图像处理中常会用到的具体实例，资料中负有源码。(matlab specific applications, the frequently used in digital image processing specific example, the data source in the responsibility.)

《通信系统仿真原理与无线应用》系统地介绍通信系统的设计、分析和仿真方法，还提供了大量极具参考价值的仿真实例。《通信系统仿真原理与无线应用》的全部仿真程序都是采用MATLAB编写的。这不仅方便读者理解仿真的实现过程，还允许读者修改或使用这些代码段来进行自己的仿真开发。章后提供了大量的参考文献和经过精心设计的各类练习题，方便教学。 此为英文原版书籍(Principles of Communication Systems Simulation with Wireless Applications is a hands-on, example-rich guide to simulating wireless communications systems. The first book to present complete MATLAB simulation models for predicting the impact of design changes, it treats every aspect of simulation: sampling, signal and system representations, filters, noise, Monte Carlo simulation, postprocessing, nonlinear and time-varying systems, waveform and discrete channels, co-channel interference, and more. It includes four detailed case studies.)

exercise1:为基于小波变化与局部能量的图像融合方法 exercise2:为基于自适应算法的图像融合算法 myfunction1~myfunction5:为性能指标评价函数(exercise1: To change and local energy based on wavelet image fusion method exercise2: adaptive algorithm based image fusion algorithm myfunction1 ~ myfunction5: performance indicators for the evaluation function)

用matlab实现的一个连续概率分布的HMM程序，可以结合《MATLAB扩展编程》一书中关于HMM的介绍(Using matlab to achieve a continuous probability distribution of the HMM program, you can combine MATLAB programming expansion, a book on the introduction of the HMM)

非常好的matlab使用手册，内容详实，强烈推荐。(fantastic matlab mannual)

使用MATLAB进行编程，对相应的图片进行模糊处理(blurring the pictures)

一种基于红外图像分层处理及动态压缩的 DDE 算法。该算法先将原始14bits 红外图像数据信息中的大动态低频背景和小动态高频细节进行分离提取，并分别对提取的细节层和背景层进行相应的灰度增强和灰度抑制处理，再调整和压缩各图层的动态范围并最终合成 8bits图 像。实验结果表明，该算法能较好地保留并突出原始红外图像中的边缘和细节信息，达到了预期设计的目标。 (put forward a DDE algorithm based on hierarchical processing and dynamic compression of infrared image． At first，this algorithm dissociates the background ( with wide dynamic and low frequency) and the detail ( with narrow dynamic and high frequency) in the data information ( 14 bits) of original infrared image，and pick up them respectively． Then，it enhances the gray of details layer and restrains the gray of background layer，and readjusts and compresses dynamic range of each layer． Finally，it composites output image ( 8 bits) ． The experimental results show that the proposed algorithm can retain detail information and edges in original infrared image and carry the purpose of design． )

matlab GUI 编程入门参考文献，初级学者可以看看(matlab GUI)

一种基于图像像素分类的快速计算图像清晰度评价值函数。(Pixel classification based on image sharpness of the image evaluation value fast computing functions.)