TIME-FREQUENCY DESIGN AND PROCESSING OF SIGNALS VIA SMOOTHED WIGNER DISTRIBUTIONS

被引：28

作者：

KRATTENTHALER, W ^{[1
]}

HLAWATSCH, F ^{[1
]}

机构：

[1] VIENNA TECH UNIV,INST NACHRICHTENTECH & HOCHFREQUENZTECH,A-1040 VIENNA,AUSTRIA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1993年 / 41卷 / 01期

关键词：

D O I：

10.1109/TSP.1993.193145

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Wigner distribution (WD) and WD-based signal synthesis can be used for designing and processing signals in a joint time-frequency domain. Unfortunately, the performance of this method is adversely affected by the occurrence of interference terms (IT's) in the WD. This paper provides an analysis of IT effects in WD-based signal synthesis, and shows that IT effects can be substantially reduced by using a smoothed Wigner distribution (SWD) instead of the WD. An iterative algorithm for SWD-based signal synthesis is presented, and the improvement over WD-based signal synthesis is verified via computer simulation.

引用

页码：278 / 287

页数：10

共 50 条

[31] Generalized time-frequency distributions for multicomponent polynomial phase signals
Wang, Yong
Jiang, Yi-Cheng
SIGNAL PROCESSING, 2008, 88 (04) : 984 - 1001
[32] A Passive DOA Estimation Algorithm of Underwater Multipath Signals via Spatial Time-Frequency Distributions
Han, Xueyan
Liu, Meiqin
Zhang, Senlin
Zheng, Ronghao
Lan, Jian
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (04) : 3439 - 3455
[33] Positive Time-Frequency Distributions via Quadratic Programming
James W. Pitton
Multidimensional Systems and Signal Processing, 1998, 9 : 439 - 445
[34] Positive time-frequency distributions via quadratic programming
Pitton, JW
MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 1998, 9 (04) : 439 - 445
[35] Parameter selection for optimising time-frequency distributions and measurements of time-frequency characteristics of non-stationary signals
Sucic, H
Boashash, B
2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 3557 - 3560
[36] Compressive sensing meets time-frequency: An overview of recent advances in time-frequency processing of sparse signals
Sejdic, Ervin
Orovic, Irena
Stankovic, Srdjan
DIGITAL SIGNAL PROCESSING, 2018, 77 : 22 - 35
[37] On the viability of the smoothed pseudo Wigner-Ville distribution for time-frequency analysis of Arabic speech signal
Boutana, D
Nibouche, M
ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3, 2003, : 136 - 139
[38] Time-frequency chirp-Wigner transform for signals with any nonlinear polynomial time varying instantaneous frequency
Gelman, L.
Gould, J. D.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2007, 21 (08) : 2980 - 3002
[39] A linear model for the distribution of signals in time and frequency with a historical perspective of conventional time-frequency distributions
Nelson, Douglas J.
Smith, David C.
DIGITAL SIGNAL PROCESSING, 2008, 18 (02) : 81 - 102
[40] Study on time-frequency characteristic of PD pulse using Wigner-Ville Distributions
Si Wenrong
Li Junhao
Yuan Peng
Li Yanming
CONFERENCE RECORD OF THE 2008 IEEE INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATION, VOLS 1 AND 2, 2008, : 355 - 357

← 1 2 3 4 5 →