LBP

介绍了一种基于VB 后台调用ANSYS和MATLAB进行设计计算的方法。通过借助VB设计的参数化输入界面， 调用APDL编写的模型分析程序和MATLAB编写的可靠性计算程序，实现了在用户界面上以可视化的形式显示计算结果功 能，并应用于铁路接触网设计的可靠性计算中，结果显示证明了计算软件的可行性和实用性。(Describes the background of a call based on ANSYS and MATLAB VB design calculation. VB by using the design parameters of input interface, called APDL model prepared by the procedures and the reliability of computer program written in MATLAB, implementation in the user interface to visualize the results in the form of display features, and design used in railway catenary the reliability of the calculation, the results proved the feasibility and practicality of computing software.)

卡尔曼滤波算法的一个例子，注释详尽，训练测试分开编写，带有详尽数据，可以用来深刻理解kalman算法(Kalman filter algorithm examples, detailed notes, training tests prepared separately, with detailed data that can be used to a deep understanding of kalman algorithm)

feature description using sift

This toolbox is designed for researchers in Computational Intelligence as well as application developers, students, and classroom labs. It is robust enough that several papers have been developed using it but it

基于水的状态方程，给出了101kPa~1.5GPa范围内水中冲击波的密度、波速、流速、当地声速与压力的关系。(Based on the equation of state of water, the dependences of the shock wave density, speed, flow velocity and local sound speed on shock wave pressure are given. )

说明：  FNFB模擬，本論文旨在針對一自平衡兩輪電動車，發展兩種智慧適應運動控制策略及其嵌入式控制器研製技術。本文使用三星S3C2410 ARM處理器製作一台嵌入式控制器，用以實現所提的智慧適應型運動控制策略。藉由已發展的非線性數學模型，兩種結合模糊基礎網路(FBFN)之智慧適應型運動控制策略被提出，用以達成速度追蹤與轉向角速度控制。第一種智慧適應型運動控制方法使用模糊基礎網路近似學習模型不確定與時變的摩擦力，而第二種智慧適應型運動控制方法則採用模糊基礎網路直接學習該非線性控制器的能力。電腦模擬及實驗結果證實本文所建立的控制器有能力提供適當的控制動作，使得車體依照駕駛者的需求動作。(FNFB simulationThis thesis develops techniques for intelligent adaptive motion control and implementation of a self-balancing two-wheeled transporter. An embedded controller using Samsung S3C2410 ARM-9 processor is constructed to implement proposed motion control laws. With the nonlinear model of the vehicle, two kinds of intelligent adaptive motion controllers using fuzzy basis-function networks (FBFNs) are respectively proposed to achieve speed tracking )

MATLAB Course Adriana Hera puting Communications Center Computing & Communications Center 1 . V ariables, Operators 2.Matrices 3.Matlab Functions 4.Relational operators & Loops (Flow Control) 5.Scripts 6 U D fi d F ti 6 . U ser D e fined F unc tions 7.Visualization 8. Curve fitting: Poly nomial curve fittin g gy g 9. Interpolation 10.Publishing a script to HTML

An algorithm to find a sub array maximum.

E4 盲多用户检测算法在AWGN信道下的性能 RLS-LMF算法(E4-blind multi-user detection algorithm in the AWGN channel the performance of RLS-LMF algorithm)

说明：  matlab功能宝典，绝对经典,里面有十八个压缩文件，好好使用(A book about Matlab)