Sparse Representation of FHSS Signals in the Hermite Transform Domain
Signal sparsity is exploited in various signal processing approaches. Signal compression, classification, coding, as well as the recently introduced compressed sensing are some examples where the possibility to represent a signal sparsely determines the efficiency of the applied processing technique...
Main Authors: | M. Brajović, A. Draganić, I. Orović, S. Stanković |
---|---|
Format: | Article |
Language: | English |
Published: |
Telecommunications Society, Academic Mind
2017-11-01
|
Series: | Telfor Journal |
Subjects: | |
Online Access: |
http://journal.telfor.rs/Published/Vol9No2/Vol9No2_A4.pdf
|
Similar Items
-
Multi-base compressive sensing procedure with application to ECG signal reconstruction
by: Irena Orovic, et al.
Published: (2021-05-01) -
Fast carrier recovery in FHSS systems with DDS based Costas loop
by: Slavko Šajić
Published: (2015-06-01) -
Study of Code Acquisition of FHSS System Over Rician Channel
by: Al-Rawi Muhanned
Published: (2019-03-01) -
Non-Cooperative Low-Complexity Detection Approach for FHSS-GFSK Drone Control Signals
by: Dan Mototolea, et al.
Published: (2020-01-01) -
Sparse signal recovery in a transform domain
by: Lebed, Evgeniy
Published: (2009)