-
AdapativeEchoCancell
一种改进的自适应滤波算法,它通过选择自适应滤波器的系数更新时间间隔,在系统的收敛速度与计算量之间取得折衷 算法在每次系数更新时,利用了系统过去时刻数据(An improved adaptive filtering algorithm, it by selecting the adaptive filter coefficient update interval, the convergence rate and the trade-off between computation algorithm to update each coefficient, the use of the system data over the past time)
- 2010-08-12 10:39:55下载
- 积分：1
-
WatermarkBlock
source code water mark block
- 2010-03-09 21:39:45下载
- 积分：1
-
New-Compressed-(zipped)-Folder
separates the voiced and unvoiced portion and performs STFT
- 2013-03-22 03:26:31下载
- 积分：1
-
final-project
EDGE DETECTION TECHNIQUES
- 2013-12-23 11:27:45下载
- 积分：1
-
arm
利用ar建模 计算ar参数的阶数和ar参数的系数 可以对语音建模(ar modeling)
- 2013-12-05 12:49:56下载
- 积分：1
-
Reversible_Jump_MCMC_Bayesian_Model_Selection
This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar -xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
(This demo nstrates the use of the reversible jump MCMC algorithm for neural networks. It uses a hierarchical full Bayesian model for neural networks. This model treats the model dimension (number of neurons), model parameters, regularisation parameters and noise parameters as random variables that need to be estimated. The derivations and proof of geometric convergence are presented, in detail, in: Christophe Andrieu, Nando de Freitas and Arnaud Doucet. Robust Full Bayesian Learning for Neural Networks. Technical report CUED/F-INFENG/TR 343, Cambridge University Department of Engineering, May 1999. After downloading the file, type "tar-xf rjMCMC.tar" to uncompress it. This creates the directory rjMCMC containing the required m files. Go to this directory, load matlab5 and type "rjdemo1". In the header of the demo file, one can select to monitor the simulation progress (with par.doPlot=1) and modify the simulation parameters.
)
- 2008-03-07 23:23:12下载
- 积分：1
-
drawing
用matlab语言编写，实现分段函数的绘制，已经经过调试(Matlab language used to achieve sub-function mapping, has been commissioning)
- 2010-10-24 00:37:21下载
- 积分：1
-
Chapter12
MATLAB混合编程想把matlab强大的功能用在自己的工程实践中吗这是本不错的混合编程的书(Hybrid Programming MATLAB want matlab powerful in their own practice, it works this is a mixture of good programming book)
- 2009-01-03 09:16:27下载
- 积分：1
-
Alamouti
mimi_ofdm multipath channel emulation, including waveform shape,
- 2009-03-29 10:30:57下载
- 积分：1
-
dspdesign
通过Matlab GUI创建用户界面，对语音信号进行频谱分析及滤波,高通、低通、带通等
(Created by Matlab GUI user interface, the speech signal spectrum analysis and filtering, high pass, low pass, band pass, etc.)
- 2011-05-23 15:12:02下载
- 积分：1
