International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications最新文献

Worst-case drift detection of sensor networks: performances and algorithms 传感器网络的最坏情况漂移检测:性能和算法

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2020-01-01 DOI: 10.1109/SPCOM50965.2020.9179620

Alexandre Reiffers

引用次数: 1

Discriminative Periodic Component Analysis for SSVEP based BCI 基于SSVEP的BCI判别周期分量分析

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2018-07-01 DOI: 10.1109/SPCOM.2018.8724386

KIRAN KUMAR G R, M. Reddy

引用次数: 0

Audio-Visual Person Tracking - A Practical Approach 视听人员跟踪-一个实用的方法

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2012-01-31 DOI: 10.1142/p724

F. Talantzis, Aristodemos Pnevmatikakis, A. Constantinides

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引用次数: 9

Vowel Recognition from Articulatory Position Time-Series Data. 基于发音位置时序数据的元音识别。

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2009-09-28 DOI: 10.1109/ICSPCS.2009.5306418

Jun Wang, Ashok Samal, Jordan R Green, Tom D Carrell

{"title":"Vowel Recognition from Articulatory Position Time-Series Data.","authors":"Jun Wang, Ashok Samal, Jordan R Green, Tom D Carrell","doi":"10.1109/ICSPCS.2009.5306418","DOIUrl":"10.1109/ICSPCS.2009.5306418","url":null,"abstract":"<p><p>A new approach of recognizing vowels from articulatory position time-series data was proposed and tested in this paper. This approach directly mapped articulatory position time-series data to vowels without extracting articulatory features such as mouth opening. The input time-series data were time-normalized and sampled to fixed-width vectors of articulatory positions. Three commonly used classifiers, Neural Network, Support Vector Machine and Decision Tree were used and their performances were compared on the vectors. A single speaker dataset of eight major English vowels acquired using Electromagnetic Articulograph (EMA) AG500 was used. Recognition rate using cross validation ranged from 76.07% to 91.32% for the three classifiers. In addition, the trained decision trees were consistent with articulatory features commonly used to descriptively distinguish vowels in classical phonetics. The findings are intended to improve the accuracy and response time of a real-time articulatory-to-acoustics synthesizer.</p>","PeriodicalId":89386,"journal":{"name":"International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications","volume":" ","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2009-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132171/pdf/nihms-195904.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29996071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Carrier Techniques for Broadband Wireless Communications - A Signal Processing Perspective 宽带无线通信的多载波技术——信号处理展望

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2007-12-13 DOI: 10.1142/p530

Man-On Pun, M. Morelli, C.-C. Jay Kuo

引用次数: 79

Joint Source-Channel Coding of Discrete-Time Signals with Continuous Amplitudes 连续幅值离散信号的联合信源信道编码

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2007-09-24 DOI: 10.1142/p519

N. Goertz

{"title":"Joint Source-Channel Coding of Discrete-Time Signals with Continuous Amplitudes","authors":"N. Goertz","doi":"10.1142/p519","DOIUrl":"https://doi.org/10.1142/p519","url":null,"abstract":"This book provides the first comprehensive and easy-to-read discussion of joint source-channel encoding and decoding for source signals with continuous amplitudes. It is a state-of-the-art presentation of this exciting, thriving field of research, making pioneering contributions to the new concept of source-adaptive modulation. The book starts with the basic theory and the motivation for a joint realization of source and channel coding. Specialized chapters deal with practically relevant scenarios such as iterative source-channel decoding and its optimization for a given encoder, and also improved encoder designs by channel-adaptive quantization or source-adaptive modulation.Although Information Theory is not the main topic of the book - in fact, the concept of joint source-channel coding is contradictory to the classical system design motivated by a questionable practical interpretation of the separation theorem - this theory still provides the ultimate performance limits for any practical system, whether it uses joint source-channel coding or not. Therefore, the theoretical limits are presented in a self-contained appendix, which is a useful reference also for those not directly interested in the main topic of this book.","PeriodicalId":89386,"journal":{"name":"International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications","volume":"46 1","pages":"1-208"},"PeriodicalIF":0.0,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90833113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Quasi-Orthogonal Space-Time Block Code 准正交空时分组码

International Conference on Signal Processing & Communications (SPCOM). Conference on Signal Processing, and Communications Pub Date : 2007-01-01 DOI: 10.1142/p524

C. Yuen, Y. Guan, T. Tjhung

引用次数: 81