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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
Citations
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Journal ArticleDOI
A Change Detector Based on an Optimization With Polarimetric SAR Imagery
Armando Marino,Irena Hajnsek +1 more
TL;DR: This paper is focused on developing two new methodologies for testing the stability of observed targets and change detection, both of which adopt a Lagrange optimization, which can be performed with two eigenproblems.
Journal ArticleDOI
Quantum-optimal detection of one-versus-two incoherent sources with arbitrary separation
TL;DR: In this paper, the fundamental resolution of incoherent optical point sources from the perspective of a quantum detection problem is analyzed: deciding whether the optical field on the image plane is generated by one source or two weaker sources with arbitrary separation.
Proceedings ArticleDOI
TOA and DOA Estimation for Positioning and Tracking in IR-UWB
Monica Navarro,Montse Najar +1 more
TL;DR: In this paper, a position tracking algorithm based on the extended Kalman filter (EKF) from TOA and direction-of-arrival (DOA) measurements is proposed and evaluated.
Journal ArticleDOI
Cyclostationarity-inducing transmission methods for recognition among OFDM-based systems
TL;DR: Two cyclostationarity-inducing transmission methods that enable the receiver to distinguish among different systems that use a common orthogonal frequency division multiplexing- (OFDM-) based air interface are proposed.
Journal ArticleDOI
A Random Access Protocol for Pilot Allocation in Crowded Massive MIMO Systems
TL;DR: This paper revisits the random access problem in the Massive MIMO context and develops a reengineered protocol, termed strongest-user collision resolution (SUCRe), which resolves the vast majority of all pilot collisions in crowded urban scenarios and continues to admit UEs efficiently in overloaded networks.
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.