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首先产生两个独立的随机过程，并将它们用正交载波进行调整得到带通随机过程的抽样(First generate two independent random process, and to adjust them by using orthogonal carrier band-pass random process of sampling)

采用MATLAB环境实现无迹神经网络的源程序m文件啊，有价值(MATLAB environment to achieve unscented neural network source m file and valuable)

说明：  am调制解调，水平有限，希望大家多多指正(am modulation and demodulation, the level is limited, a lot of hope that we can correct me)

This particular code very useful to simulate the antenna array design and very effective

人工神经网络是在现代神经科学的基础上提出和发展起来的，旨在反映人脑结构及功能的一种抽象数学模型。(Artificial neural network is an abstract mathematical model proposed and developed on the basis of modern neuroscience, aiming at reflecting the structure and function of human brain.)

说明：  书籍以及对应的例程，都可以使用 非常好用，而且每个章节也会有对应的模型，是有关于PMSM模型的，可以学习到 滑模控制、FOC控制以及弱磁等控制巴拉巴拉的(Books and corresponding routines can be used very easily. Moreover, there will be corresponding models in each chapter, which is about PMSM model. You can learn sliding mode control, FOC control and flux weakening control of Balabala)

Another source code to simulate LMS adaptation algorithm using Matlab.

用 LDPC 解码法，对原始信号通道的噪声进行评估，消去。具体原理可参照IEEE TCOM的论文。(Channel Noise Estimation or correlation estimation for distributed source coding Using Particle based Belief Propagation for LDPC decoding in AWGN and BSC models. This code is partially based on our published journal papers with some additional improvements. In this code, we removed the parameter lambda to reduce the number of free parameters. PBP estimator is distributed in the hope that is will be useful, but without any warranty. The codes have not been optimized, so the estimation speed may be slow. To use PBP estimator source code in your research, please cite our journal papers published in IEEE TCOM. )

二值化加上OTUS法阀值法的分形维数计算，在这里奉上(Binarization threshold law with OTUS method of fractal dimension calculation, where the offer)

基于图像分析的商标识别。介绍了国外这方面领域的一些新的想法/。(Trademark recognition based on image analysis. Introduced the field of foreign countries in this regard some new ideas /.)