3adaptive-PCNN-fusion

Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.

low pass filter code

implementing histogram equalization for image enhancement

License Plate Recognition, ah useful. Including the extraction plate and neural network training

相信做PWM的同学看见这个比较高兴，希望可以对您有帮助，谢谢支持。(PWM do believe that the students see the comparison that he hopes can be helpful to you, thank you support.)

RS编码的matlab仿真（m文件仿真）,对加入突发噪声信道的RS（15，11）编码进行的仿真.(RS coding matlab simulation (m simulation files), joining the burst noise channel RS (15,11) code for simulation.)

PSO code matlab psooooooooooooooooo

采用粒子群算法PSO优化BP神经网络，进行风电功率预测，含实际数据和案例(Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case)

说明：  广义S变换 作为小波变换和短时傅里叶变换的继承和发展， S 变换采用高斯窗函数且窗宽与频率的倒数成正比，免去了窗函数的选择和改善了窗宽固定的缺陷，并且时频表示中各频率分量的相位谱与原始信号保持直接的联系，使其在 PQD 分析中可以采用更多的特征量，同时， S 变换提取的特征量对噪声不敏感，因此，近年来众多学者纷纷采用 S 变换并结合其他分析工具应用于 PQD 的分析，产生了大量研究成果。(Generalized S-transform)

说明：  基于MRAS模型参考自适应的永磁同步电机PMSM在线参数辨识MATLAB仿真模型，可辨识电机定子电阻、电感和永磁磁链，辨识精度比较高。(Based on the MRAS model reference adaptive PMSM on-line parameter identification matlab simulation model, the stator resistance, inductance and permanent flux can be identified, and the identification accuracy is relatively high.)