paper6

A system simulation environment in Matlab/Simulink of RFID is constructed in this paper. Special attention is emphasized on the analog/RF circuit.Negative effects are concerned in the system model,such as phase noise of the local oscillator,TX-RX coupling,reflection of the environment, AWGN noise,DC offset,I/Q mismatch,etc.Performance of the whole system can be evaluated by changing the coding method,parameters of building blocks,and operation distance.Finally,some simulation results are presented in this paper.

基于matalab的信道自适应均衡技术研究(Matalab based channel adaptive equalization technology research)

实现各种PID控制算法，包括传统PID，模糊PID以及计算动词PID控制器的源码(PID controller, fuzzy pid controller , computational verb pid controller)

SAR .txt .bin等多种数据格式的读取，非常有用的小程序。(SAR.Txt.Bin and other formats data read, very useful little program)

单相全桥逆变器模型，测试OK，直接运行，需要的参考(Single phase full bridge inverter model)

针对二维矩形条带装箱问题提出了一种启发式布局算法，即底部左齐择优匹配算法（lowest—level left align bestfit，简称LLABF）．LLABF算法遵循最佳匹配优先原则，该原则综合考虑完全匹配优先、宽度匹配优先、高度匹配优先、组合宽度匹配优先及可装入优先等启发式规则．与BL（bottom-left），IBL（improved-bottom-left）与BLF（bottom—left-fill）等启发算法不同的是，LLABF能够在矩形装入过程中自动选择与可装区域匹配的下一个待装矩形．计算结果表明，LLABF结合遗传算法（genetie algorithm,简称GA）解决二维条带装箱问题更加有效．(A heuristic placement algorithm for two-dimensional rectangular strip packing problem is proposed, which is called bottom-level left align best fit algorithm (LLABF). Different from BL (bottom-left), IBL (improved-bottom-left) and BLF (bottom-left-fill) heuristic algorithms, LLABF can automatically select the next rectangle to be loaded that matches the mountable region during the rectangular loading process. Genetie algorithm (GA) is more effective to solve the two-dimensional strip packing problem.)

matlab环境下，多个计算微积分和微分方程的程序(matlab environment program, multiple computing calculus and differential equations)

Electron concentration in the AlAs conduction band as a function of Fermi level position at room temperature

PID Controllers in Nineties Muhidin Lelic

用MATLAB编写了Internet中TCP/UDP连接，模拟了可靠的TCP连接和快速的UDP连接过程，可直接使用。(Written using MATLAB Internet TCP/UDP connection, analog reliable TCP connection and fast UDP connection process, can be used directly.)