Adaptive-Filters---S.H-Sayed-part4

In this paper, we investigate the timing and carrier frequency offset (CFO) synchronization problem in decode and forward cooperative systems operating over frequency selective channels. A training sequence which consists of one orthogonal frequency-division multiplexing (OFDM) block having a tile structure in the frequency domain is proposed to perform synchronization. Timing offsets are estimated using correlation-type algorithms. By inserting some null subcarriers in the proposed tile structure, we propose a computationally efficient subspace decomposition- based algorithm for CFO estimation. The issue of optimal tile length is studied both theoretically and through simulations. By judiciously designing the tile size of the pilot, the proposed algorithms are shown to have better performance, in terms of synchronization errors and bit error rate, than the time-division multiplexing-based training method and the computationally demanding space-alternating generalized expectation-maximization

峰值信噪比的源函数，数值越大，表示图像越清晰，反之，图像模糊。(Source function peak signal to noise ratio, the greater the value, the image is more clear, on the contrary, the image is blurred.)

是电力电子电力系统的仿真书籍的matlab和simulink的仿真实例 (the simulink of simpower)

小车的8字绕环，小车的机械结构设计相关尺寸计算，运用MATLAB计算(8 words circling the car, the car' s mechanical design calculations relevant dimensions, calculated using MATLAB)

The evolution the speed of wind according to time is modelized by a function analytical or generated by a statistical law starting the data of measurement for a given site. In a context of theoretical modeling, the profile of wind must satisfy two criteria: 1) The duration of the profile must be limited to reduce the time of simulation 2) The profile of the wind must be representative of the characteristics of the deposit (intensity, variability, statistical distribution…). In this study, we represented the evolution the speed of the wind, by a scalar function which evolves/moves in time, modelized in deterministic form by a sum of several harmonics. Profile of the wind simulated with a mean velocity of 8.2m/s.

BP network is a wide used network in Artificial Neural Network domain. This is a example of BP, applied with Matlab!

it s a viterbi coding model , including awgn and so on..

怎样运用各种各样的抛出的方法。在这个例子这个你就可以学习到这个异常的抛出(How to use a variety of throw method. In this example, you can learn from this to this exception is thrown)

SCE 的源代码，希望大家多支持..........................(SCE' s source code, I hope you will support ..........................)

另一种数字信号调制识别方式，没有给出正确率(Another digital signal modulation recognition methods, did not give the correct rate)