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phase-distortions
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Phase modeling of indoor radio propagation channels
, Article IEEE Transactions on Vehicular Technology, Piscataway, NJ, United States ; Volume 49, Issue 2 , 2000 , Pages 594-606 ; 00189545 (ISSN) ; Hashemi, H ; Sharif University of Technology
IEEE
2000
Abstract
Results of a comprehensive modeling effort to describe variations of received signal phase for digital transmission within buildings are reported. The results are based on mathematical analysis, simulation, and measurement. These results can be used in performance evaluation of wireless indoor communication systems, either directly or by developing a comprehensive channel simulator
Sampling and distortion tradeoffs for bandlimited periodic signals
, Article IEEE Transactions on Information Theory ; 2017 ; 00189448 (ISSN) ; Marvasti, F ; Sharif University of Technology
Abstract
In this paper, the optimal sampling strategies (uniform or nonuniform) and distortion tradeoffs for Gaussian bandlimited periodic signals with additive white Gaussian noise are studied. Our emphasis is on characterizing the optimal sampling locations as well as the optimal pre-sampling filter to minimize the reconstruction distortion. We first show that to achieve the optimal distortion, no pre-sampling filter is necessary for any arbitrary sampling rate. Then, we provide a complete characterization of optimal distortion for low and high sampling rates (with respect to the signal bandwidth). We also provide bounds on the reconstruction distortion for rates in the intermediate region. It is...
Sampling and distortion tradeoffs for bandlimited periodic signals
, Article IEEE Transactions on Information Theory ; Volume 64, Issue 3 , March , 2018 , Pages 1706-1724 ; 00189448 (ISSN) ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
In this paper, the optimal sampling strategies (uniform or nonuniform) and distortion tradeoffs for Gaussian bandlimited periodic signals with additive white Gaussian noise are studied. Our emphasis is on characterizing the optimal sampling locations as well as the optimal presampling filter to minimize the reconstruction distortion. We first show that to achieve the optimal distortion, no presampling filter is necessary for any arbitrary sampling rate. Then, we provide a complete characterization of optimal distortion for low and high sampling rates (with respect to the signal bandwidth). We also provide bounds on the reconstruction distortion for rates in the intermediate region. It is...