摘要：基于语音状态模型的语音增强算法是当前语音信号处理的研究热点。把通常的LPC语音模型修正后，将得到两个语音模型：时变AR 模型、时变双AR模型。但是利用这些模型增强语音时，都没有考虑到语音的清音、浊音区别。为此本文引入了语音清浊音状态空间模型，这种模型在描述语音方面比时变AR模型、时变双AR模型要强，而且物理含义明显 同时在用含噪语音信号预测纯净语音信号时，引入遗忘因子和粒子滤波算法以降低计算复杂性，减小运算量。实验证明，增强后的语音信号信噪比有一定提高．且优于传统的LPC模型.
上传时间： 2015-12-25
上传用户：我们的船长
Carrier-phase synchronization can be approached in a general manner by estimating the multiplicative distortion (MD) to which a baseband received signal in an RF or coherent optical transmission system is subjected. This paper presents a unified modeling and estimation of the MD in finite-alphabet digital communication systems. A simple form of MD is the camer phase exp GO) which has to be estimated and compensated for in a coherent receiver. A more general case with fading must, however, allow for amplitude as well as phase variations of the MD. We assume a state-variable model for the MD and generally obtain a nonlinear estimation problem with additional randomly-varying system parameters such as received signal power, frequency offset, and Doppler spread. An extended Kalman filter is then applied as a near-optimal solution to the adaptive MD and channel parameter estimation problem. Examples are given to show the use and some advantages of this scheme.
标签： synchronization Carrier-phase multiplicativ approached
上传时间： 2013-11-28
上传用户：windwolf2000
To estimate the input-output mapping with inputs x ％ and outputs y generated by the following nonlinear, ％ nonstationary state space model: ％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] ％ + 8cos(1.2t) + process noise ％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 ％ + time varying measurement noise ％ using a multi-layer perceptron (MLP) and both the EKF and ％ the hybrid importance-samping resampling (SIR) algorithm.
标签： input-output the generated following
上传时间： 2014-01-05
上传用户：royzhangsz
小波神经网络好文章！A method for fault detection is proposed using a trained neural network as the nominal model of the system to be monitored. Partial physical knowledge, if available, can be combined with the nominal model to perform fault isolation.
标签： detection proposed network nominal
上传时间： 2014-12-08
上传用户：gmh1314
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.
标签： Hidden_Markov_model_for_automatic speech_recognition implements left-right
上传时间： 2016-01-23
上传用户：569342831
线上求解法求解色谱模型，method of lines sloving chromatographic model
上传时间： 2014-01-11
上传用户：liansi
排队的MMS模型， how could someone run (execute) your program and if it could be used for the M/M/1 model
上传时间： 2014-01-20
上传用户：mikesering
《SPSS 11统计分析教程》（高级篇）样章，第一章：征服一般线性模型――General Linear Model菜单详解（上）第一节：方差分析模型简介，PDF格式。
上传时间： 2016-02-04
上传用户：semi1981
OFDM Signal generation and decoding using 16-QAM .64QAM as the modulation technique. This type of OFDM is particularly useful for WiMAX and other Wireless and Multimedia Standards. Just run the Model and with different SNRs in the AWGN Channel Block observe the performance of the OFDM.
标签： generation modulation QAM technique
上传时间： 2014-01-10
上传用户：lps11188
eclipse平台，基于GMF生成model,运行后是一个简单的数据库设计界面，可以拖拽实体，各种关系等。
标签： eclipse
上传时间： 2016-02-25
上传用户：busterman
