nurbs

DEA数据包络分析，MATLAB实现，两种模型(DEA--Data Envelopment Analysis)

matlab实例，带通，阻带频率[900,6000] Hz，阻带最小衰减50dB。待滤波的原信号的产生和开始滤波程序。学习使用(matlab instance, band-pass, stop-band frequency [900,6000] Hz, stopband minimum attenuation of 50dB. Generated and the start of the original signal to be filtered filtering process. Learning to use)

模拟退火算法源码及相关论文，代码有详细注释，配以论文解释(Simulated annealing algorithm source code and related paper , the code has detailed notes , together with the paper explains)

queue implementation in matlab

OFDM仿真包括信号源,卷积码编码，交织，qpsk调制，IFFT，组帧，上采样，通过FIR滤波器 通过高斯信道，再经过低通FIR滤波器，下采样，拆帧，FFT，qpsk解调，接收数据；计算误比特率(OFDM simulation including the signal source, sampling convolutional encoding, interleaving, QPSK modulation, IFFT, frame,, through the FIR filter through Gauss channel, and then through the low pass FIR filter, sampling, demolition of frame, FFT, QPSK demodulation, the received data bit error rate calculation)

mpc Model predictive control for quad tank(mpc MIMO model predictive control for quad tank)

主要用matlab产生C/A码，并且捕获到信号，输出捕获结果和相位起始位置，而且可以实现对信号的跟踪，输出跟踪偏差和偏差震荡曲线，是一个很好很完整的GPS软件仿真的参考程序.(Mainly used matlab generated C/A code and capture the signal, and outputs the results of the capture phase starting position, but also can realize the tracking signal, output tracking error and error shock curve, is a very good simulation of the complete GPS software reference program.)

基于802.11ofdm仿真，主要针对信道同步，包括各种同步方法(802.11ofdm based on simulation, the main channel for synchronization, including synchronization method)

matlab遗传算法程序，用于数值模拟计算中的参数逼近计算(matlab genetic algorithm procedure for the numerical simulation of the parameters in the approximation calculation)

课程设计中首先采用Ising model的思想建立一个二维的模型，然后利用重要性抽样和Monte Carlo方法及其思想模拟铁磁-顺磁相变过程。计算了顺磁物质的能量平均值Ev、热容Cv、磁化强度M及磁化率X的值，进而研究Ev、Cv、M、X与温度T的变化关系并绘制成Ev-T图、Cv-T图、M-T图、X-T图，得出顺磁物质的内能随着温度的升高先增大而后趋于稳定值；热容Cv、磁化率X随着温度的升高先增大后减小；磁化强度M在转变温度Tc处迅速减小为零，找出铁磁相变的转变温度Tc大约为2.35(First of all, curriculum design idea of the Ising model used to establish a two-dimensional model, the importance of sampling and then use Monte Carlo simulation methods and their idea of ferromagnetic- paramagnetic phase transition process. Paramagnetic material calculated average energy Ev, heat capacity Cv, magnetization M and susceptibility X value, and then study Ev, Cv, M, X and temperature changes in the relationship between T and plotted into Ev-T map, Cv- T diagram, MT map, XT maps drawn paramagnetic material can be increased as the temperature increased and then stabilized value heat capacity Cv, magnetic susceptibility X as the temperature increases after the first minus small magnetization M in the transition temperature Tc decreases rapidly to zero Department to identify ferromagnetic phase transition around the transition temperature Tc for 2.35)