Proceedings of MILCOM '96 IEEE Military Communications Conference
DOI: 10.1109/milcom.1996.571428
|View full text |Cite
|
Sign up to set email alerts
|

Frequency estimation from short pulses of sinusoidal signals

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(3 citation statements)
references
References 4 publications
0
3
0
Order By: Relevance
“…Following the framework of the Viberg-Stoica method [17], we construct a future output vector (8) which is a -vector with . Using (6), is expressed as (9) where (10) and (11) It is required that must have full-column rank of , and a necessary condition for it is . If , a sufficient condition is that has full-column rank.…”
Section: B Estimation Via Applying Viberg-stoica Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Following the framework of the Viberg-Stoica method [17], we construct a future output vector (8) which is a -vector with . Using (6), is expressed as (9) where (10) and (11) It is required that must have full-column rank of , and a necessary condition for it is . If , a sufficient condition is that has full-column rank.…”
Section: B Estimation Via Applying Viberg-stoica Methodsmentioning
confidence: 99%
“…Recently, the problem of joint time delay and frequency estimation of sinusoidal signals has also attracted considerable attention. Application examples for this work include speech enhancement and pitch estimation using a microphone array [5], [6], synchronization in code division multiple access (CDMA) systems [7], analysis of thalamocortical seizure pathways [8] and fequency-shift keying (FSK) demodulation using multiple segments [9].…”
Section: Introductionmentioning
confidence: 99%
“…In this paper, we consider that the source signal is a sinusoidal signal and the objective is to find the time-delay and frequency parameters from the received sensor outputs [2]- [3]. The joint time-delay and frequency estimation problem has applications such as analysis of thalamocortical seizure pathways [4], frequency-shift keying demodulation using multiple data segments [5] and speaker localization [6]. Without loss of generality, we consider two sensor outputs which are modeled as: r 1 (n) = s(n) + q 1 (n) r 2 (n) = s(n − D) + q 2 (n), n = 0, 1, · · · , N − 1 (1) where s(n) = P m=1 α m exp(jω m n) consists of P complex sinusoids.…”
Section: Introductionmentioning
confidence: 99%