android_map

根据电缆长度计算电缆短路电流。写的不是非常好(Calculation of cable short circuit current according to the length of the cable.)

小波算法分析数据的低频与高频,从而分析数据的变异点.寻找变异位置.(Low and high frequency wavelet algorithm analysis of data to analyze the variation point data. Looking mutation position.)

关于数值天气预报的计算地转风的相关matlab程序码(Turn to calculate the wind)

说明：  jerk模型，已经封装好。入门请勿下载，原始轨迹数据用txt导入，谨慎下载(Jerk model, already packaged. Please do not download at the beginning. The original track data is imported by txt and downloaded carefully.)

This m.file is intended to perform the numerical integration of a structural system subjected to an external dynamic excitation. The integration scheme utilized for this alysis is the newmark alpha-beta method.

一个二维的FDTD程序 本程序实现2维TM波FDTD仿真 此程序用PML设置吸收边界条件 FDTD_2D_kongqi_PML 仅含有Ez,Hx,Hy分量 (A two-dimensional FDTD program program realization of the wave 2-D TM FDTD simulation this program set with the PML absorbing boundary condition FDTD_2D_kongqi_PML contain only Ez, Hx, Hy component)

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 )

该程序为OFDM正交频分复用技术的基础仿真，为最初加入信号，在信噪比为0时的波形！(The program for the OFDM orthogonal frequency division multiplexing based simulation, adding to the initial signal, the waveform signal to noise ratio is 0!)

traveler sale person in dynamic programming

联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法(the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was proposed)