sevenleveldiode

逢山开路问题的matlab程序源码，程序编制的比一些比赛论文中的要精细一些(Mountains and open source issues matlab procedures, programming than some of the papers in the race to fine some)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

hole plate deformation

matlab6.5辅助小波分析与应用，主要介绍小波变化与在matlab下的实现。一本很不错的书。(Auxiliary matlab6.5 and application of wavelet analysis, wavelet introduce major changes and implementation at the matlab. A very good book.)

宽带DOA的TCT算法，从本网站下载之后，发现程序有点问题而不能运行，对线性调频信号的生成做了小改动后，程序可以正常运行(The TCT algorithm for broadband DOA，the code is download from this website previously, but find a problem and the program can t run , then modify the code of linear FM signals generation, the program can run)

这是matlab宝典里面的源代码 相信对于开发着有所帮助(This is a matlab source code inside the book and I believe that the development of a help)

利用newton法，newton-honor法和Stevensen-newton法，解非线性方程的matlab原程序。(Using newton method, newton-honor method and Stevensen-newton method for solving nonlinear equations matlab original program.)

详细介绍了VAR模型的功能简介，和各类实际案例的应用。(Described in detail the application of the functions of the VAR model profiles, and all kinds of actual cases.)

cofdm simulation graphs(5) 摘自９４年名家论文(cofdm simulation graphs (5) from the famous 94 theses)

Efficient signal processing techniques are necessary for assessing the exposure to broadband magnetic fields. The use of flat-top windows along with the DFT is a simple and fast method that reduces the characteristic leakage errors and picket fence effects when using the classical DFT for the exposure assessment.