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Hidden_Markov_model_for_automatic_speech_recogniti
Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic left-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
- 2007-10-26 19:01:21下载
- 积分：1
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1
说明： 这是一个有关频谱分析的程序，可实时的画出任意信号的频谱，通过测试程序无误，欢迎下载(This is a spectrum analysis procedure can draw an arbitrary signal in real-time spectrum, through the test procedure correctly, please download the)
- 2009-11-29 16:00:41下载
- 积分：1
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matlab
用MATLAB设计界面，进行信号采集，并显示出来(Design using MATLAB interface for signal acquisition and display)
- 2011-08-24 17:28:15下载
- 积分：1
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LMS-application-
基于LMS算法的数字滤波器的应用实例教程(Digital filters based on LMS algorithm application examples)
- 2011-10-18 19:31:06下载
- 积分：1
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Statistical-Signal-Processing
STATISTICAL SIGNAL PROCESSING Homework and their Solutions too.
- 2014-01-22 13:32:20下载
- 积分：1
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zoul-Finch-93def14
This is about source code management.
- 2012-03-27 22:21:48下载
- 积分：1
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newmarkforrotor
用matlab法求解椭圆轴承支承的刚性jeffcott转子的振动方程。采用capone模型计算轴承油膜力。得到圆盘中心的轨迹图。(solving governing equations of rigid jeffoctt rotor supported on elliptical bearing. The robit of disk center can be obtained)
- 2009-04-20 22:15:14下载
- 积分：1
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NLM
说明： 里面有一篇非局部均值去噪的文章，并附有代码。经调试，代码正确。(There are a non-local means denoising article, along with the code. After debugging, the code is correct.)
- 2011-03-01 15:00:35下载
- 积分：1
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OP_HM
This program simulate a multi-antenna multi-relay dual-hop amplify
and forward relaying system over Nakagami-m fading channels.
The output of this function is the outage probability.
- 2021-04-16 19:28:53下载
- 积分：1
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16QAM
16QAM仿真系统，学通信实验必备，绝对有用。(16QAM simulation system, learning communication experiment must absolutely useful.)
- 2007-12-14 21:08:08下载
- 积分：1
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