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Fundamentals Of Statistical Signal Processing
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The article was published on 2001-03-16 and is currently open access. It has received 7058 citations till now. The article focuses on the topics: Statistical signal processing.read more
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Channel Estimation for Reconfigurable Intelligent Surface Aided Multi-User MIMO Systems
TL;DR: This paper proposes a novel channel estimation protocol for the RIS aided multi-user multi-input multi-output (MIMO) system to estimate the cascade channel, which consists of the channels from the base station to the RIS and from the RIS to the user.
Journal ArticleDOI
Equal-diagonal QR decomposition and its application to precoder design for successive-cancellation detection
TL;DR: An optimal QR decomposition is proposed, which is called the equal-diagonal QR decompose, or briefly the QRS decomposition, and the performance of the QR detector is asymptotically equivalent to that of the maximum-likelihood detector (MLD) that uses the same precoder.
Proceedings ArticleDOI
Is there a best hyperspectral detection algorithm
TL;DR: A large number of hyperspectral detection algorithms have been developed and used over the last two decades as mentioned in this paper, some of which are based on highly sophisticated mathematical models and methods; others are derived using intuition and simple geometrical concepts.
Journal ArticleDOI
More accurate estimation of diffusion tensor parameters using diffusion Kurtosis imaging.
Jelle Veraart,Dirk H. J. Poot,Dirk H. J. Poot,Wim Van Hecke,Wim Van Hecke,Ines Blockx,Annemie Van der Linden,Marleen Verhoye,Jan Sijbers +8 more
TL;DR: The diffusion kurtosis imaging model provides a b‐value‐independent estimation of the widely used diffusion tensor parameters as demonstrated with diffusion‐weighted rat data, which was acquired with eight different b‐values, uniformly distributed in a range of [0,2800 sec/mm2].
Journal ArticleDOI
Imaging and image processing in porous media research
TL;DR: In this article, the authors describe two methods of computed tomography with different characteristics, namely X-ray-and neutron-based, for investigations of fluid distribution and flow in porous media.
References
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Book
Adaptive Filter Theory
TL;DR: In this paper, the authors propose a recursive least square adaptive filter (RLF) based on the Kalman filter, which is used as the unifying base for RLS Filters.
Journal ArticleDOI
Fundamentals of statistical signal processing: estimation theory
TL;DR: The Fundamentals of Statistical Signal Processing: Estimation Theory as mentioned in this paper is a seminal work in the field of statistical signal processing, and it has been used extensively in many applications.
Book
Probability, random variables and stochastic processes
TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book
Probability, random variables, and stochastic processes
TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Book
Discrete-Time Signal Processing
TL;DR: In this paper, the authors provide a thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete time Fourier analysis.