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saliheyolla
convolutional encoder
- 2010-12-05 07:13:24下载
- 积分:1
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Geneticalgorithmprocedure
介绍了遗传算法的原理,发展及应用,并用MATLAB语言给出了遗传算法的应用实例(Introduced the principle of genetic algorithm, development and application of MATLAB language with the application of genetic algorithm is given examples)
- 2010-05-10 16:37:10下载
- 积分:1
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snakeplannig
图像处理 蛇行法处理图像问题 Using Dynamic Programming for Solving Variational Problems in Vision(1)书中的一个例子(Image processing image processing problems hunting law)
- 2013-11-28 18:52:54下载
- 积分:1
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softmax exercise
该文档办了深度学习中Softmax问题的详细程序和代码(this document contain softmax of deeplearning network)
- 2015-03-28 20:32:41下载
- 积分:1
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Solving-ODEs-with-Matlab
讲述ODE初值问题、边值问题和时滞问题的英文资料(This book is for people who need to solve ordinary differential equations (ODEs), both initial
value problems (IVPs) and boundary value problems (BVPs) as well as delay differential
equations (DDEs).)
- 2012-11-28 16:16:36下载
- 积分:1
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huffman
生成霍夫曼编码和解码程序,本程序包含几个子程序,主程序会自动调用。(Generate Huffman coding and decoding procedures, the program contains several subroutines, the main program will automatically call.)
- 2011-07-12 16:05:19下载
- 积分:1
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MATLAB_COMMAND
包含matlab的使用频率较高常用命令及其功能,便于查询,方便快捷(Contains a higher frequency of use matlab common commands and their functions, easy to check, convenient)
- 2011-09-26 10:25:51下载
- 积分:1
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switched-capacitor-DC-DC-converter
switched capacitor DC DC converter
- 2014-12-23 17:01:37下载
- 积分:1
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m_break
his is a direct and complete translation of the Gauss codes of Bai, J. and P. Perron (1998) Estimating and Testing Linear
Models with Multiple Structural Changes Econometrica, vol 66, 47-78 and Bai, J. and P. Perron (2003) Computation and Analysis
of Multiple Structural Change Models Journal of Applied Econometrics, 18, 1-22, provided by Pierre Perron (version 3, October
11, 2004). All the notice in the original Gaiss codes remain valid.
For users, run brcode.m . The procedure is explained in the same m file and in each function file.
June 20, 2012
Yohei Yamamoto
Email: yohei.yamamoto@econ.hit-u.ac.jp
- 2015-07-22 14:19:52下载
- 积分:1
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基于GMM的说话人识别
语音识别是近年来发展非常迅速的一项计算机智能技术,广泛应用在语音控制、身份识别等多个领域。本次项目主要研究语音识别的预处理过程和特征参数的提取环节。通过对原始语音信号进行预加重和分帧、加窗,滤除低频干扰,提升对语音识别有用的部分,消除了部分噪音和失真。预处理之后进行信号的特征提取,主要选取了短时平均过零率和MFCC两个特征参数,应用matlab软件绘制波形图并提取特征参数矩阵,为之后的语音信号的识别打下了基础。(Speech recognition is a computer intelligent technology which has developed rapidly in recent years. It is widely used in speech control, identity recognition and other fields. This project mainly studies the pretreatment of speech recognition and the extraction of feature parameters. Through pre-emphasis, framing and windowing of the original speech signal, the low frequency interference is filtered out, the useful part of speech recognition is enhanced, and some noise and distortion are eliminated. After pretreatment, feature extraction of signal is carried out. Two feature parameters, short-term average zero-crossing rate and MFCC, are selected. Waveform diagram is drawn by MATLAB software and feature parameter matrix is extracted, which lays a foundation for speech signal recognition.)
- 2019-04-06 10:53:48下载
- 积分:1