eetop.cn_OFDM

program for convolutional coding and decoding(with symbol,tone interleaving and cyclic shift)

说明：  探究粒子群算法对电机的估计，具有重要意义。(It is important to explore the estimation of the motor by particle swarm.)

OOK调制方式，使用matlab simulink数字调制与数字解调(OOK modulation, using matlab simulink digital modulation and digital demodulation)

说明：  MATLAB软件简介以及实用统计算法分析(Introduction to MATLAB software, and utility of statistical algorithms)

IEEE14潮流计算 牛拉法 直角坐标形式 (The IEEE14 node power flow calculation cattle Rafah rectangular coordinate form)

Soft Acoustic Mordern using matlab. Wireless Acoustic mordern simulation using coomputer build-in sound card.

根据smart antenna的原理进行的beamforming的matlab仿真并画出了beampattern(According to the principle of smart antenna beamforming matlab simulation and draw the beampattern)

实用图像处理教程，是这方面的经典教程，适合通信的同学继续学习(Practical image processing tutorial, this classic guide for communication students continue to learn)

针对电机的变压调速系统的变转速调压的simulink模型(The variable voltage speed control system for motor variable speed regulating the simulink model)

time-invariant degradation models and stationary signals and noise, the classical Fourier domain Wiener filter, which can be implemented in O(N logN) time, gives the minimum mean-square-error estimate of the original undistorted signal. For time-varying degradations and nonstationary processes, however, the optimal linear estimate requires O(N2) time for implementation. We consider filtering in fractional Fourier domains, which enables significant reduction of the error compared with ordinary Fourier domain filtering for certain types of degradation and noise (especially of chirped nature), while requiring only O(N logN) implementation time. Thus, improved performance is achieved at no additional cost. Expressions for the optimal filter functions in fractional domains are derived, and several illustrative examples are given in which significant reduction of the error (by a factor of 50) is obtained.