A time-delay parallel cascade identification system for predicting jaw movements

2014 ◽  
Author(s):  
Nazanin Goharian ◽  
Hadi Kalani ◽  
Sanar Moghimi
Keyword(s):  
Time Delay ◽  
Identification System ◽  
Jaw Movements ◽  
Parallel Cascade Identification

SPEAKER IDENTIFICATION USING TIME-DELAY HMEs

1996 ◽  
Vol 07 (01) ◽  
pp. 29-43 ◽  
Author(s):  
KE CHEN ◽  
DAHONG XIE ◽  
HUISHENG CHI
Keyword(s):  
Time Delay ◽  
Temporal Processing ◽  
Speaker Identification ◽  
Identification System ◽  
Multiple Time ◽  
Training Time ◽  
Fast Training ◽  
Substantial Problem ◽  
Spatio Temporal ◽  
Hierarchical Mixture Of Experts

In this paper, we extend the Hierarchical Mixture of Experts (HME) to temporal processing and explore it for a substantial problem, that of text-dependent speaker identification. For a specific multiway classification, we propose a generalized Bernoulli density instead of the multinomial logit density to avoid the instability during training. Time-delay technique is applied for spatio-temporal processing in the HME and a combining scheme is presented for combining multiple time-delay HMEs in order to complete a multi-scale analysis for the temporal data. Using the time-delay HME along with the EM algorithm as well as the combination of multiple time-delay HMEs, the speaker identification system has a good performance and yields significantly fast training. We have also addressed some issues about the time-delay techniques in the HME.

scholarly journals Time Delay Estimation of AIS Signal Based on Three-Order Cumulant

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Xin Meng ◽  
Dawei Zhao ◽  
Shexiang Ma ◽  
Jianfu Teng
Keyword(s):  
Time Delay ◽  
Estimation Algorithm ◽  
Training Sequence ◽  
Time Delay Estimation ◽  
Delay Estimation ◽  
Automatic Identification ◽  
Identification System ◽  
Performance Simulation ◽  
Simulation Results ◽  
Non Gaussian

A time delay estimation algorithm based on three-order cumulant with the different symmetry of modulation signal between training sequence and information sequence of AIS (Automatic Identification System) is presented, which aims to overcome the large time delay and strong noise in the receiver side of AIS. Theoretical analysis and simulation results show that this algorithm successfully suppresses the influence of Gaussian noise. Moreover, under non-Gaussian and correlative noise, it can also obtain a fine estimated performance. Simulation results show that this algorithm is superior to the correlative and data-aided time delay estimation ones.

Determination and modelling of the formative and statistical time delay in neon

2007 ◽  
Vol 38 (1) ◽  
pp. 73-78 ◽  
Author(s):  
V. Lj. Marković ◽  
S. N. Stamenković ◽  
S. R. Gocić ◽  
S. M. Durić
Keyword(s):  
Time Delay ◽  
Statistical Time
Sign in / Sign up

Export Citation Format

Share Document