Matlab-financial-analysis-

这本电子书是Stephen J. Chapman著，邢树军译，内容简单，讲解详细，并且附有常见的编程错误和好的编程习惯，比较适合初学者。(This eBook is Stephen J. Chapman a, Xing Shujun translation, is simple to explain in detail, and with a common programming errors and good programming habits are more suitable for beginners.)

SVM在MATLAB下的实现,其中有五个文件夹，分别是不同的SVM(SVM writen by matlab,include five files,and diffent each other)

moore响度模型erb级计算，完成版，共同没努力(moore loudness calculation)

其中包括matlab的基础学习，和有关数学建模的模型分析。主要适合初学建模但不懂编程的学者学习，也适合实习matlab的人开展模型分析训练。(Including Matlab basis of learning, and mathematical modeling, model analysis. Mainly suitable for beginners modeling, but scholars do not understand programming learning, but also for the internship Matlab to carry out model analysis training.)

角度和时延联合估计的DOA算法，在matlab环境下实现(Angle and delay DOA joint estimation algorithm in matlab environment to achieve)

在NX平台上，利用二次开发工具创建孔、型腔、边倒圆，并进行相对定位(On the platform of NX, using NX second development tools to create a hole, cavity, edge rounding, and relative positioning)

matlab codes for digital audio procces

Describes an image inpainting algorithm used in reconstruction and restoration of digital images. Totally based on convolutions

说明：  PSO MATLAB 程序，有助于求解混合非整数规划问题(PSO MATLAB )

Plant Classification is the placing of known plants into groups or categories to show some relationship. They use features that can be used to group plants into a known hierarchy. This research focuses on the mobile based application for plant identification through leaf recognition. Apart using the whole plant, the automation of plant identification can be performed using various parts of a plant anatomy like stem, flower, petal, seed and leaf. This study uses the leaf part of the plant to identify a plant. The ease of creating digital images increased the need for processing power of computers and inexpensive methods. In order to gather the information, plant identification using computers has become an interesting subject of research. Global shortage of expert has further increased the demand for semi automated tools that would allow non-botanical persons to carry out valuable field work of identifying and characterizing plants.