802.16channel-design-and-realize

首先用matlab实现了识别算法的仿真，因为只是对特定的数字组合的识别，所以非常的简单，放弃采用比较复杂的识别算法，采用最普通的像素比较的识别算法。(First, to achieve the recognition algorithm using matlab simulation, because the only identification of a specific combination of numbers, it is very simple, give up the use of more complex recognition algorithms compare the most common pixel identification algorithm.)

基于AHP分析SAW算法和TOPSIS算法在异构切换环境下的性能(AHP analysis algorithms SAW and TOPSIS algorithm performance in heterogeneous environments based switching)

QPSK modulation system with recover loops(This is a model of a QPSK modulation system for transmission over a bandpass channel with fc = 100 Hz and B = 30 Hz and AWGN at the receiver. SRRC fi lters with excess bandwidth α = 0.18 are employed. The receiver includes an NDA timing recovery loop followed by a DD phase recovery loop. The transmitter?s symbol period is T and set to a value of 100 ms. The symbol period at the receiver is Tr. The model will produce six windows: Two constellation plots and two eye diagrams (for the real part only), at the output of the matched fi lters and after the recovery loops a plot of the phase error (output of the NCO) and a plot of the fractional timing error (used in the interpolator). The frequency off set at the receiver is denoted by deltaf. The model simulates the transmission of 8000 QPSK symbols.)

《matlab实例》有关优化算法的实例源码，希望对大家有帮助。(" Matlab example" examples of the algorithm source code, we want to help.)

根据遗传算法和BP神经网络理论，在MATLAB软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。(According to the theory of genetic algorithm and BP neural network, in the MATLAB software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitting method.)

用蒙特卡洛方法计算圆周率的程序,可以精确到第四位小数(a mento karlo method compiled in matlab)

考虑时间与温度等因素，对电力系统进行的负荷预测(Consider factors such as time and temperature, predicting the load of power system.)

本程序适用于论文metasample-based sparse representation for tumor classification(this code suite for paper metasample-based sparse representation for tumor classification)

keyishuoshihenlihaidesuanfale

kalman filter program(Kalman filter program)