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Contemporary communication system一書之matlab範例程式(Contemporary communication system of a book s sample code matlab)

利用叠加和梯度值来分别进行人脸识别，正确率分别为40 和96 。Matlab 代码。(Superposition and the gradient values, respectively, face recognition, the correct rates were 40 and 96 . Matlab code.)

Autoencoders for dimensionality reduction using stacked restricted boltzmann machines

The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologies for cognitive radio is presented. Various aspects of spectrum sensing problem are studied from a cognitive radio perspective and multi-dimensional spectrum sensing concept is introduced. Challenges associated with spectrum sensing are given and enabling spectrum sensing methods are reviewed. The paper explains the cooperative sensing concept and its various forms. External sensing algorithms and other alternative sensing methods are discussed. Furthermore, statistical modeling of network traffic and utilization of these models for prediction of primary user behavior is studied. Finally, sensing features of some current wireless standards are given.

QUIVERS(x,y,u,v,Gscale,Spos,Sunit) plots velocity vectors as arrows with components (u,v) at the points (x,y). The matrices X,Y,U,V must all be the same size and contain corresponding position and velocity components (X and Y can also be vectors to specify a uniform grid).

matlab实现音乐通用特征提取并进行音乐检索，共实现40种特征提取。(MIRtoolbox proposes a large set of musical feature extractors.MIRtoolbox includes around 40 audio and music features extractors and statistical descriptors.)

用MATLAB实现LTP和LBP算法，并分别将处理后的图像显示出来(LTP and LBP algorithm by matlab, respectively, the processed image is displayed)

this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result. 1- using the Covariance Matrix Reseting in a specefic time. 2-using the RLS with Forget Factor this program is written by matlab 7.0. Here we want to estimate the below function: 1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7 finally,there are plots for showing results.

运用人工神经网络技术预测风速，主要介绍了神经网络的实现方法，以及预测结果的比较(The use of artificial neural network technology forecasting wind speed, mainly the realization of a neural network method and the comparison of predicted results)

基于matlab灰色关联度计算的实现，??趍atlab灰色关联度计算的实现，基于matlab灰色关联度计算的实现，(Matlab based on gray correlation degree calculated to achieve,? ?趍atlab gray correlative degree of realization of the calculation, based on gray relational grade calculation matlab realization)