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DSP5
说明: 数字信号处理的一些MATLAB源程序,均已经通过编译、仿真,请放心下载使用。(digital signal processing some of MATLAB source, we have already passed compiler, simulation, Please be assured download for use.)
- 2006-04-17 21:30:25下载
- 积分:1
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PSK
压缩包内源码的主要用途是:PSK调试方式的matlab实现(The main purpose of this source is the matlab implementation of PSK debug mode)
- 2012-05-26 15:56:17下载
- 积分:1
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Ber_Sim
matlab误码率仿真程序,跑起来非常快,效率很高。用于仿真EbN0和Ber直接的曲线。(biterror simulation using matlab.this program is very efficient.)
- 2015-04-09 13:14:37下载
- 积分:1
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field-2
用于超声仿真的matlab,用于仿真B超,声辐射力,血流成像(For ultrasound simulation matlab, for simulation B ultrasound, acoustic radiation force, flow imaging)
- 2013-10-19 11:19:09下载
- 积分:1
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dpdsimulation_matlab
基带数字预失真DPD算法,实现对功放的非线性矫正,以及功放的模型实现。(Baseband digital predistortion DPD algorithm to achieve nonlinear amplifier correction, as well as the amplifier model implementation.)
- 2014-07-09 10:35:10下载
- 积分:1
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zhiliuzanbo
直流斩波电路的mtalab仿真实例,可以观察波形,便于延伸各种仿真,继续仿真(DC chopper circuit mtalab simulation example, the waveform can be observed, to facilitate extension of the simulation, the simulation continues)
- 2011-12-26 15:19:06下载
- 积分:1
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BER_Analyzer
Channel simulation for Adaptive coding modulation, BER analyzer any didigital mod with any channel code
- 2010-10-03 19:31:50下载
- 积分:1
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svm_matlab
主要介绍了svm的几种算法的中的具体不同和差别,随让内容简短,但对初学者来说是非常宝贵的(Mainly introduce the SVM algorithm in several different and specific differences, with the brief for content, but for beginners it is very valuable)
- 2008-05-23 02:39:07下载
- 积分:1
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MATLAB
本书详细介绍了数学科学计算在matlab中的方法,对初学者有一定的帮助。(This book details the mathematics of scientific computing methods in matlab, there is some help for beginners.)
- 2011-10-19 12:25:34下载
- 积分:1
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Investigation_on_Model_Selection_Criteria_for_Spe
Speaker recognition is the task of validating individual s identity using invariant features extracted from their voices print. Speaker recognition technology common applications include authentication, surveillance and forensic applications. This Paper investigates the performance of three automatic model selections based on Gaussian Mixture Model (GMM). These approaches are Bayesian information criterion (BIC), Bayesian Ying–Yang harmony empirical learning criterion (BYY-HEC) and Bayesian Ying–Yang harmony data smoothing learning criterion (BYY-HDS). Experimental evaluation of these methods is presented.
- 2010-06-23 03:07:11下载
- 积分:1