ImageEnhance

说明：  语音增强的谱减法算法实现，要有一个wav格式的声音文件(Spectral subtraction speech enhancement algorithm, there must be a wav sound file format)

用于叶片理化参量反演的PROSPECT模型，在遥感领域中应用(PROSPECT MODEL)

the qpsk modulatio function

用三阶龙格-库塔方法求解常微分方程初值问题的数值解的MATLAB主程序及例子。(MATLAB main program of Kutta method for solving initial value problems of ordinary differential equations numerical solution- using third-order Runge and examples.)

VMD方法是在传统维纳滤波的基础上，提出的一种非递归自适应信号分解新方法。与EMD方法和LMD方法相比，VMD方法分解的信号，具有精度高、收敛快和鲁棒性好等特点，适用于处理滚动轴承故障信号。(The VMD method is a new non recursive adaptive signal decomposition method based on traditional Wiener filtering. Compared with the EMD method and the LMD method, the signal decomposed by the VMD method has the characteristics of high precision, fast convergence and good robustness. It is suitable for handling the fault signal of rolling bearing.)

基于小波变换模极大的多尺度图像边缘检测matlab源代码该算法采用的是样条小波(Based on wavelet transform modulus maxima of the multi-scale image edge detection matlab source code of the algorithm is based on spline wavelets)

介绍了matlab文件操作的有关函数使用方法等(Introduction of the matlab file operations on the function of the use of methods)

本论文的主要内容包含以下几个方面: 首先，论述了图像融合技术的基本理论、现状和方法，并对多聚焦图像融合 算法及融合结果的评价方法做了分类。 其次，论述了小波理论及其图像的小波分解和重构，研究了小波分解层数及 小波基函数的选择对多聚焦图像融合效果的影响，并给出了在多聚焦图像融合算 法中最佳小波分解层数和小波基函数的选取 再次，研究了基十小波变换的多聚焦图像融合方法，并提出了改进后的基十 小波变换区域对比度的多聚焦图像融合方法，并利用Matlab工具进行算法进行了 仿真实验 最后，总结本论文的研究成果和不足，并指出发展方向。(The following main parts are included. Firstly, this paper discussed the basic theory, present state and means of image fusion technology, classified multi-focus image fusion algorithm and evaluation means of image fusion consequences. Secondly, this paper discussed the wavelet theory and the wavelet decomposition and reconstruction of image, studied the effects on selection of wavelet basis function and wavelet decomposition level to multi-focus image fusion, at last the best choices are proposed. Thirdly, a new method: regional contras of wavelet transformation are proposed for multi-focus image fusion based on wavelet transformation and Matlab is employed to simulation algorithm Finally, this paper summarized the research achievement and insufficient of this paper and pointed out development direction. )

75 份速查表，由 vikas 收集整理，包括：jQuery、HTML、HTML5、CSS、CSS3、JavaScript、Photoshop 、git、Linux、Java、Perl、PHP、Python、Ruby、Ruby on Rails、Scala、C#、SQLite、C++、C语言、Ubuntu、WordPress、Node.js、Oracle、NMAP、Mac OS X、Haskell、Unicode、PostgreSQL、Lisp、Matlab 等。(List of 75 parts by vikas collected, including: jQuery, HTML, HTML5, CSS, CSS3, JavaScript, Photoshop, git, Linux, Java, Perl, PHP, Python, Ruby, Ruby on Rails, Scala, C#, SQLite , C++, C language, Ubuntu, WordPress, Node.js, Oracle, NMAP, Mac OS X, Haskell, Unicode, PostgreSQL, Lisp, Matlab etc.)

Non-Symmetric Linear system, Sparse, Iterative Precondition, BiConjugate Gradient