Fast Equalizer Adjustment by Using a Periodic Training Sequence

2002 ◽  
pp. 227-253
Author(s):  
Steven A. Tretter
Keyword(s):  
Training Sequence

Training Sequence Design for Low Complexity Channel Estimation in Transmit Diversity TDS-OFDM System

2009 ◽  
Vol E92-B (6) ◽  
pp. 2308-2311 ◽  
Author(s):  
Fang YANG ◽  
Kewu PENG ◽  
Jun WANG ◽  
Jian SONG ◽  
Zhixing YANG
Keyword(s):  
Channel Estimation ◽  
Transmit Diversity ◽  
Low Complexity ◽  
Training Sequence ◽  
Ofdm System ◽  
Sequence Design ◽  
Training Sequence Design

Training Sequence Inserted OFDM Transmission with MMSE-FDE

2014 ◽  
Vol E97.B (2) ◽  
pp. 476-483 ◽  
Author(s):  
Tetsuya YAMAMOTO ◽  
Fumiyuki ADACHI
Keyword(s):  
Training Sequence

PENERAPAN TEKNOLOGY SPEECH RECOGNITION UNTUK LATIHAN PRONUNCIATION BAHASA INGGRIS MELALUI METODE DICTATION DI PROGRAM STUDI MULTIMEDIA BROADCASTING POLITEKNIK ELEKTRONIKA NEGERI SURABAYA

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Aliv Faizal M ◽  
Akhmad Alimudin
Keyword(s):  
Student Achievement ◽  
Speech Recognition ◽  
Training Sequence ◽  
English Learning ◽  
Motivation To Learn ◽  
Study Program ◽  
Face To Face ◽  
Track Record ◽  
Speech Recognition Technology ◽  
English Pronunciation

English pronunciation has long been taught through the delivery of phonetic symbols to study the sound of each phoneme in English. In Multimedia Broadcasting study program at Surabaya State Electronics Polytechnic, pronunciation has long been delivered to the students through guidebooks in the form of phonetic symbols that teach basic sound pronunciation in English. English teachers practice the sound of each phoneme directly to thestudents. After going through various observations based on the track record of student achievement of this pronunciation material, I as a teacher as well as researcher found that my student achievement was less than the desired target. This was due to the limited source of English pronunciation learning where students only learned face-to-face in the classroom. Through the use of English learning media of pronunciation interactively using speech recognition technology, it was expected that Multimedia Broadcasting course students in Surabaya State Electronics Polytechnic could improve their English pronunciation ability. After students complete the English pronunciation training sequence using pronunciation application using speech recognition technology, the data from the interview stated that the students felt more confident and improved their pronunciation ability and also felt the increased motivation to learn English pronunciation using English pronunciation learning app using speech recognition technology.Keywords: English pronunciation, teaching, multimedia, speech recognition technology, and pronunciation app.

scholarly journals Compressed Sensing of Sparse Multipath MIMO Channels with Superimposed Training Sequence

2016 ◽  
Vol 94 (4) ◽  
pp. 3303-3325 ◽  
Author(s):  
Bilal Amin ◽  
Babar Mansoor ◽  
Syed Junaid Nawaz ◽  
Shree K. Sharma ◽  
Mohmammad N. Patwary
Keyword(s):  
Compressed Sensing ◽  
Training Sequence ◽  
Mimo Channels ◽  
Superimposed Training

scholarly journals Adaptive modulation based on steady-state mean square error for underwater acoustic communication

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Zhiyong Liu ◽  
Zhoumei Tan ◽  
Fan Bai
Keyword(s):  
Steady State ◽  
Mean Square Error ◽  
Adaptive Modulation ◽  
Blind Equalization ◽  
Training Sequence ◽  
Transmission Efficiency ◽  
Underwater Acoustic Communication ◽  
Mean Square ◽  
Modulation Mode ◽  
Simulation Results

AbstractTo improve the transmission efficiency and facilitate the realization of the scheme, an adaptive modulation (AM) scheme based on the steady-state mean square error (SMSE) of blind equalization is proposed. In this scheme, the blind equalization is adopted and no training sequence is required. The adaptive modulation is implemented based on the SMSE of blind equalization. The channel state information doesn’t need to be assumed to know. To better realize the adjustment of modulation mode, the polynomial fitting is used to revise the estimated SNR based on the SMSE. In addition, we also adopted the adjustable tap-length blind equalization detector to obtain the SMSE, which can adaptively adjust the tap-length according to the specific underwater channel profile, and thus achieve better SMSE performance. Simulation results validate the feasibility of the proposed approaches. Simulation results also show the advantages of the proposed scheme against existing counterparts.

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