PCA

Numerical solution of 2D Poisson equation (Matlab code + comments in Russian)(Numerical solution of 2D Poisson equation (Matlab code+ comments in Russian))

复合材料的优化,内容里边有很好的描述以及很多的计算实例,适合进阶学习(Objective of this Matlab s program was researched optimization analysis of laminated composite plates for determined the ultimate strength and stress effects of plate s under the regular and uniform out-loads. Therefore, generally Reissner s flat and thick shell finite element model (4Node-20Dof) was developed with first-order shear deformation theory (FSDT). Kirchhoff s classical laminate plate theory yields in adequate results for thick plates (a/th<20). This classical laminated plate (CLPT or CPT), was one of the first developed by Reissner with shear deformation theory. Afterwards, Mindlin was utulizated this shear deformation theory to accommodate rotary of inertia terms on per unit freedom. If this plate system s be very thick (a/th<10) than it is fail to shear deformation-motion and it s condition of adaptive shear stress on plate s top and bottom surface. While this conditions was produced on plate s segment when requered the shear correction factor of shear locking eff)

关于MATLAB 交通视频处理,对大家有帮助(Traffic video processing on MATLAB)

kalman滤波跟踪系统的源代码，初学者必看(kalman filter tracking system, source code, beginners must see)

Newton插值，matlab经典例程,数学建模必备(Newton interpolation, matlab classic routines, mathematical modeling necessary)

用MATLAB的.m文件来实现通信仿真的若干算法和原理(using MATLAB. M document communications to achieve a number of simulation algorithms and theory)

一个用DCT的数字水印毕业论文。本文重点研究了基于DCT的低频水印算法、基于DCT的中频水印算法和基于DCT的自适应视频水印方案。(DCT with a digital watermark dissertation. This paper focuses on the low-frequency DCT-based watermarking algorithm, IF DCT-based watermarking algorithms and DCT-based Adaptive Video Watermarking program.)

radar matlab simulation

CCNA Exploration 4.0.5.0 Routing Protocols and Concepts Instructor Packet Tracer Lab Manual (answers)

Face recognition using L1 norm minimization 1.0 :Read the following paper for details of the algorithm - Robust Face Recognition via Sparse Representation by John Wright, Arvind Ganesh, and Yi Ma , Coordinated Science Laboratory, University of Illinois at Urbana-Champaign and Allen Yang, Electrical Engineering and Computer Science, University of California Berkeley.