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In this simulink model , 16-QAM modulation and demodulation is simulated .A square root raised cosine pulse shaped signal is modulated and given as input to the demodulator.The received signal is demodulated and given to the detector where it is matched filtered and down-sampled .The effects of symbol timing offset can be seen by varying the phase of down-sampling operation.The signal transmitted is recovered at the detector output.

归一化模型参考自适应控制的Matlab实例，仿真模拟闭环跟踪方波输入 关键字：归一化 模型参考自适应控制 Matlab 例程 MIT(A Matlab example of normalized model reference adaptive control.The closed-loop system is simulate to follow a square reference signal. Keywords: Normalized Model Reference Adaptive Control, Matlab, Simulink Model, MIT Rule)

Matlab數位影音處理 影像方面的處理(Matlab image processing digital audio-visual aspect has been dealt with)

Adaptive Gradient-Based Methods for Adaptive Power Allocation in OFDM-Based Cognitive Radio Networks. IT IS THE RECENT PAPER IN COGNITIVE RADIO NETWORKS

matlab入门经典教程--百看不厌1.rar(Getting Started tutorial matlab classic- never lost their appeal 1.rar)

afqrrls1算法例程，希望对大家有所帮助(afqrrls1 algorithm routines, and they hope to help everyone)

这是一个关于偏最小二乘法的程序，使用Matlab编写。(partial least squares method)

各种插值方法的效果比较 线性内插法，内插法，三次多项式内插法，多项式拟合法 将这些内插的结果及原先的采样点画在同一个图 (The effect of various interpolation methods compared linear interpolation, interpolation, cubic polynomial interpolation, polynomial fitting interpolation of these results and the original sample at the same Chart stipple)

16QAM在SG中的模型，对于学习system generator 很实用的(this 16QAM application in SG,and it s very useful for you to study system generator)

模拟人的步行，是一个很好的模拟程序！！！( WALKER Human gait. This model, developed by Nikolaus Troje, is a five-term Fourier series with vector-valued coefficients that are the principal components for data obtained in motion capture experiments involving subjects wearing reflective markers walking on a treadmill. The components, which are also known as "postures" or "eigenwalkers", correspond to the static position, forward motion, sideways sway, and two hopping/bouncing movements that differ in the phase relationship between the upper and lower portions of the body. The postures are also classified by gender. Sliders allow you to vary the amount that each component contributes to the overall motion. A slider setting greater than 1.0 overemphasizes the characteristic. Can you see whether positive values of the gender coefficient correspond to male or female subjects?)