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Notebook 的功能在于：使用户能在Word环境中“随心所欲地享用”MATLAB的浩瀚科技资源，为用户营造融文字处理、科学计算、工程设计于一体的完美工作环境。       MATLABNotebook 制作的M-book文档不仅拥有 MS-Word 的全部文字处理功能，而且具备MATLAB无与伦比的数学解算能力和灵活自如的计算结果可视化能力。它既可以看作解决各种计算问题的字处理软件，也可以看作具备完善文字编辑功能的科技应用软件。       M-book文档最显著的特点是它的“活”性：l  它为论文、科技报告、讲义教材、学生作业的撰写营造了文字语言思维和科学计算思维的和谐环境。l  用M-book写成的电子著作、电子文稿、讲义教材不仅图文并茂，而且动静结合。那些由MATLAB指令构成的例题、演示，都可供读者亲自操作，举一反三，从而在“手脑并用”的环境中由此及彼、由浅入深。

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非均匀线阵MUSIC算法matlab程序

自相关、互相关、循环相关

粒子群优化算法matlab程序

改进的积分方程模型，微波遥感领域，用于求土壤的后向散射系数

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梁结构有限元分析matlab主程序

论文《As-Projective-As-Possible Image Stitching with Moving DLT》中的拼接算法，对于视差图像拼接具有一定的鲁棒性，但是对特征点数量及其分布均匀性有较高的要求。 The success of commercial image stitching tools often leads to the impression that image stitching is a “solved problem”.The reality, however, is that many tools give unconvincing results when the input photos violate fairly restrictive imaging assumptions;the main two being that the photos correspond to views that differ purely by rotation, or that the imaged scene is effectively planar.Such assumptions underpin the usage of 2D projective transforms or homographies to align photos. In the hands of the casual user,such conditions are often violated, yielding misalignment artifacts or “ghosting” in the results. Accordingly, many existing imagestitching tools depend critically on post-processing routines to conceal ghosting. In this paper, we propose a novel estimationtechnique called Moving Direct Linear Transformation (Moving DLT) that is able to tweak or fine-tune the projective warp toaccommodate the deviations of the input data from the idealized conditions. This produces as-projective-as-possible image alignmentthat significantly reduces ghosting without compromising the geometric realism of perspective image stitching. Our technique thuslessens the dependency on potentially expensive postprocessing algorithms. In addition, we describe how multipleas-projective-as-possible warps can be simultaneously refined via bundle adjustment to accurately align multiple images for largepanorama creation.