matlab-image-source-code

Signal processing front end for extracting the feature set is an important stage in any speech recognition system. The optimum feature set is still not yet decided. There are many types of features, which are derived differently and have good impact on the recognition rate. This paper presents one more successful technique to extract the feature set a speech signal, which can be used in speech recognition systems. Our technique based on the human auditory system characteristics and relies on the gammachirp filterbank to emulate asymmetric frequency response and level dependent frequency response.

说明：  modelling of two cstrs in series. chemical

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基于Matlab语言的Monte_Carlo入门教程，非常实用！(Based on Matlab Monte_Carlo introductory tutorial, very useful!)

This is a Didact Software to matlab users!

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fortran简单程序集，常用程序，适合新手学习。(fortran simple assembly, common procedures, suitable for novice to learn.)

image resize, gray, average filter, gaussian filter