mfcc

gmsk调制系统的DFE均衡算法，一篇外文论文，有参考价值(gmsk DFE equalization algorithm modulation system, a foreign language papers, there is reference value)

超声数据互相关算法用于塔机超声测距，程序简单方便可行( Application of the cross correlation analysis technique )

Finally, probability analysis, based on the chosen database, is performed and judgment whether the person is recognized is pronounced. Two different modeling techniques can be suggested for purposes of person identification or verification. The approach based on Hidden Markov Speaker Models (HMMs) with the mixtures of Gaussian distribution is text-dependent one. For this technology a speaker is described by a set of HMMs, constructing the set of speech groups spoken by that person. The speech groups may be phonemes or words [7]. The text-independent technology is rested upon Gaussian Mixture Speaker Models. For this technology each speaker is defined by only one model describing all utterances of that person. Identification in the range of both approaches is executed by evaluation of maximum a posteriori probability [7].

homomorphic-filtering and hadamard kernel for image processing

最小二乘支持向量机对数据进行分类，求出精确度，用于故障诊断(Least Square Support Vector Machine classifies the data and finds out the accuracy for fault diagnosis.)

以矿山管理为例子解决离散时间和离散状态的动态模型。(solving the discret time,discret state dynamic models in economics.)

讲述了基于空域和频域的迭代盲复原算法，是图像盲复原的一个研究热点，效果很好。(About the spatial and frequency domain based on the iterative blind restoration algorithm, image restoration is a hotspot, the effect is very good.)

对正交编码（Hadamard）+BPSK调制进行分析而用matlab进行仿真。(Hadamard code is a kind of error correcting code. )

《MATLAB神经网络30个案例分析》中的第21个例子，案例21 LVQ神经网络的分类——乳腺肿瘤诊断。希望对大家有一定的帮助！(The MATLAB neural network analysis of 30 cases of example, 21 cases of 21 LVQ neural network classification of breast cancer diagnosis. Hope to have certain help to everybody! )

一维直流电测深正演与反演，自己编的，有点水= =适合成都理工学习。(DC electrical sounding one-dimensional forward modeling and inversion, own, there is a little water = = for Chengdu learning polytechnic.)