S
S.M. Navidpour
Researcher at Apple Inc.
Publications - 16
Citations - 1054
S.M. Navidpour is an academic researcher from Apple Inc.. The author has contributed to research in topics: Bit error rate & Fading. The author has an hindex of 7, co-authored 16 publications receiving 989 citations. Previous affiliations of S.M. Navidpour include University of Waterloo & Pennsylvania State University.
Papers
More filters
Journal ArticleDOI
BER Performance of Free-Space Optical Transmission with Spatial Diversity
TL;DR: This paper investigates the bit error rate (BER) performance of FSO links with spatial diversity over log- normal atmospheric turbulence fading channels, assuming both independent and correlated channels among transmitter/receiver apertures.
Journal ArticleDOI
Error rate performance of coded free-space optical links over strong turbulence channels
TL;DR: An upper bound on the pairwise error probability (PEP) is derived and the union-bound technique is applied in conjunction with the derived PEP to obtain upper bounds on the bit error rate.
Journal ArticleDOI
Performance analysis of uncoded and coded OFDM broadband transmission over low voltage power-line channels with impulsive noise
TL;DR: In this article, the bit error rate (BER) performance of the OFDM system under impulsive noise and frequency fading is theoretically analyzed and closed form expression for the performance is derived.
Proceedings ArticleDOI
BER performance of MIMO free-space optical links
TL;DR: BER (bit error rate) performance of MIMO (multiple-input multiple-output) FSO links over lognormal atmospheric turbulence fading channels is investigated, assuming both independent and correlated channels among transmitter/receiver apertures.
Proceedings ArticleDOI
Fountain codes for impulsive noise correction in low-voltage indoor power-line broadband communications
TL;DR: Broadband communications for indoor power-line networks with impulsive noise using Orthogonal Frequency Division Multiplexing (OFDM) is considered and Digital Fountain codes are employed, which are a new class of erasure detecting codes.