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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 survey of Deep Neural Network watermarking techniques
Yue Li,Hongxia Wang,Mauro Barni +2 more
TL;DR: A new taxonomy of DNN watermarking is introduced and a few exemplarymethods belonging to each class are presented and hope that this paper will inspire new research in this exciting area and will help researchers to focus on the most innovative and challenging problems in the field.
Journal ArticleDOI
Indoor Positioning Using UWB-IR Signals in the Presence of Dense Multipath with Path Overlapping
Yanjia Luo,Choi Look Law +1 more
TL;DR: This paper presents a method for positioning using ultra-wideband impulse radio (UWB-IR) signals that is robust in indoor environments characterized by dense multipath channel with path overlapping, and yields the least-squares estimation of joint TOA and AOA with low computational cost.
Journal ArticleDOI
Asymptotically Optimal Detection of Low Probability of Intercept Signals using Distributed Sensors
Naresh Vankayalapati,Steven Kay +1 more
TL;DR: An asymptotically optimal technique for detection of low probability of intercept (LPI) signals usingmultiple platform receivers using multiple platform receivers is proposed and it is shown that simpler detectors can be obtained from the GLRT by making various assumptions.
Journal ArticleDOI
Maximum a posteriori estimates in linear inverse problems with log-concave priors are proper Bayes estimators
Martin Burger,Felix Lucka +1 more
TL;DR: In this article, the authors use Bregman distances to construct proper convex Bayes cost functions for which the maximum a posteriori (MAP) estimator is the Bayes estimator.
Journal ArticleDOI
Spectrum Monitoring During Reception in Dynamic Spectrum Access Cognitive Radio Networks
TL;DR: Methods for spectrum monitoring supplement traditional spectrum sensing and improve the communications efficiency of the secondary radios are proposed and evaluated.
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.