FFT_2D

PLS Toolbox Reference

threshold signcryption based on ecc

说明：  Learning about power amplifiers

Face recognition program in Matlab

“Applied Econometrics using MATLAB”配套的计量经济Matlab包(MATLAB code for: 1. least-squares, simultaneous systems (2SLS,3SLS, SUR) 2. limited dependent variable (logit, probit, tobit) and Bayesian variants 3. time-series (VAR, BVAR, ECM) estimation and accompanying forecasting functions 4. ridge, Theil-goldberger, switching regimes, robust regression 5. regression diagnostics, e.g. Belsley, Kuh Welsch, Cook-Weisberg 6. cointegration testing 7. statistical distributions (CDF, PDF and random deviate generation) 8. Bayesian Gibbs sampling estimation and MCMC convergence diagnostics 9. maximum likelihood and Bayesian spatial econometrics functions 10. lots of other stuff, over 350 functions)

说明：  本文介绍了控制系统中的经典问题— — —倒立摆及其基本原理, 简要介绍了 Ma tlab中倒立摆控制的实现方法。由于倒立摆的研究具 有重要的工程背景,本文结合了二级倒立摆的 ma tlab仿真,实现二自 由度机器人 PD控制的 ma tlab仿真 ,取得了较好的效果。(This article describes the classic problem of the control system--- inverted pendulum and its basic principles, a brief introduction Ma tlab the inverted pendulum control method. The inverted pendulum has important engineering background, this paper combines the ma tlab double inverted pendulum simulation, to achieve two degrees of freedom robot ma tlab PD control simulation, and achieved good results.)

对QPSK解调系统完美建模，其中通过改变码元速率和载波频率，再计算相应的环路滤波器的参数，即可实现多种QPSK模型的解调，且该模型可通过SYSTEM generator进行量化，从而生成ISE能直接使用的HDL代码。 matlab版本：2007a(Perfect for QPSK demodulation system modeling, which by changing the symbol rate and carrier frequency, and then calculate the corresponding parameters of the loop filter, QPSK demodulator can achieve a variety of models, and the model can be quantified by SYSTEM generator thereby generating ISE HDL code can be used directly. matlab version: 2007a)

MPC code space state model whithout constraints

通过将喷泉码的编译码方法再无线衰落信道上的用matlab仿真出来(Multi-path ruili channel simulation research on matlab)

基于零阶近似法的稳定性叶瓣图的matlab编程(Based on the zero-order approximation of the stability lobe diagram matlab programming)