Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Hamidreza Amindavar"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2007 (2007)
We propose a new method for practical non-Gaussian and nonstationary underwater noise modeling. This model is very useful for passive sonar in shallow waters. In this application, measurement of additive noise in natural environment and exhibits show
Externí odkaz:
https://doaj.org/article/9dbb2496452e4cc9a53e3e9e54cc0edd
Publikováno v:
Circuits, Systems, and Signal Processing. 42:3706-3743
Publikováno v:
Acoustics Australia.
Publikováno v:
Physical Communication. 59:102089
Publikováno v:
International Journal of Satellite Communications and Networking. 39:560-569
Summary Broad‐band satellite communication is an indispensable method to provide seamless connectivity for people especially in remote areas. This paper analyzes the performance of the forward link...
Publikováno v:
Signal Processing. 206:108903
Autor:
Marjan Firouznia, Javad Alikhani Koupaei, Karim Faez, Giuseppe A. Trunfio, Hamidreza Amindavar
Publikováno v:
Digital Signal Processing. 134:103933
Optimized Cauchy-Gaussian Blend Model for Stochastic-Parametric Simulation of Seismic Ground Motions
Publikováno v:
Prevention and Treatment of Natural Disasters. 1
This article proposes a stochastic model for generation of synthetic seismic ground motions. In the first step, the wavelet coefficients of a record are extracted by the dual-tree complex discrete wavelet transform (DT-CDWT) and then they are simulat
Publikováno v:
IEEE Wireless Communications Letters. 9:1235-1239
This letter investigates the multiuser downlink transmission performance of an asymmetric free space optical (FSO)/radio frequency (RF) link. Here, the satellite delivers signal to the unmanned aerial vehicle (UAV) through a FSO link subject to Gamma
Publikováno v:
IET Signal Processing. 14:385-395
In this work, a novel learning-based approach for the design of a compressed sensing measurement matrix is proposed. In contrast with the state-of-the-art methods, the suggested approach takes into account the correlation within entries of each colum