ofdm 信号

basically a trial run to get back into the mode of things. This is a simple MCM communications system. The code is pretty self-explanatory

defines for no boardlevel antenna diversity.

说明：  BP神经网格预测，可用与各种波形的预测 比如经济的、机械振动信号等(ANN—BP wave forcast)

Reson 7K系列多波束格式说明，可用于该数据文件的解码(Data format for Reson 7K MB bathy system)

数据预测，采用RBF最近邻算法预测股市趋势(Data to predict RBF nearest neighbor algorithm predict stock market trends)

介绍国内外机械故障诊断技术的发展情况，并列举了应用实例。(Describes the development of domestic and foreign machinery fault diagnosis technology, and examples of its applications.)

轨道交通领域，纽马克线性求解动力学微分方程(The field of rail transportation, the dynamic differential equations of linear Newmark)

说明：  MATLAB开发接收串口数据并实时将其转化为图形显示(MATLAB Develops and Receives Serial Port Data and Converts it into Graphic Display in Real Time)

Gabor小波变换与PCA的人脸识别代码，欢迎大家下载学习，有循环检测，周期性检测，Matlab实现界面友好，BP神经网络用于函数拟合与模式识别，用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述。

Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major draw- back in that the minimum of the resulting cost function does not correspond to the true sharp solution. Accordingly, a range of additional methods are needed to yield good re- sults (Bayesian methods, adaptive cost functions, alpha- matte extraction and edge localization). In this paper we introduce a new type of image regularization which gives lowest cost for the true sharp image. This allows a very simple cost formulation to be used for the blind deconvolu- tion model, obviating the need for additional methods. Due to its simplicity the algorithm is fast and very robust. We demonstrate our method on real images with both spatially invariant and spatially varying blur.