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Now showing items 11-15 of 15
Joint Channel Estimation and Equalization for OFDM based Broadband Communications in Rapidly Varying Mobile Channels
(IEEE, 2010)
This paper is concerned with the challenging and timely problem of channel estimation for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency selective and very rapidly time varying ...
Bayesian estimation of discrete-time cellular neural network coefficients
(TUBITAK Scientific & Technical Research Council Turkey, 2017)
A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network ...
Sparse underwater acoustic channel estimation in colored Gaussian noise [Renkli? Gauss gürültülü seyrek sualtı akusti?k kanalların kestirimi]
(IEEE, 2012)
Cooperative underwater acoustic communication systems come into prominence in recent years. Since underwater channels are sparse and additive noise entering the system is colored Gaussian noise. Therefore it is very difficult ...
Semiblind joint channel estimation and equalization for OFDM systems in rapidly varying channels
(2010)
We describe a new joint iterative channel estimation and equalization algorithm for joint channel estimation and data detection for orthogonal frequency division multiplexing (OFDM) systems in the presence of frequency ...
Joint phase noise estimation and source detection [Ortak faz gürültüsü kestirimi ve kaynak sezimlemesi]
(2010)
Rapidly time-varying and random disturbing effects on the phase of a signal waveform are known as phase noise. In this paper we consider the problem of joint detection of continuous-valued information source output and ...