Open AccessBook
Fundamentals Of Statistical Signal Processing
About:
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
More filters
Journal ArticleDOI
Optimal multi-channel cooperative sensing in cognitive radio networks
Rongfei Fan,Hai Jiang +1 more
TL;DR: In this paper, optimal multi-channel cooperative sensing strategies in cognitive radio networks are investigated and a polynomial-complexity algorithm is proposed to solve the problem optimally.
Book ChapterDOI
Quantum Limits in Optical Interferometry
TL;DR: In this paper, the authors summarize the developments of quantum metrology with particular focus on optical interferometry and derive fundamental bounds on achievable quantum-enhanced precision in optical inter-ferometry taking into account the most relevant decoherence processes including phase diffusion, losses, and imperfect interferometric visibility.
Journal ArticleDOI
Accurate Passive Location Estimation Using TOA Measurements
TL;DR: This paper considers the case where one transmitter and multiple, distributed, receivers are used to estimate the location of a passive (reflecting) object and proposes a novel, Two-Step estimation (TSE) algorithm for the localization of the object.
Journal ArticleDOI
Model-based estimation of ultrasonic echoes. Part I: Analysis and algorithms
Ramazan Demirli,Jafar Saniie +1 more
TL;DR: Expectation maximization (EM)-based algorithms are developed to estimate ultrasonic signals in terms of Gaussian echoes, translating the complicated superimposed echoes estimation into isolated echo estimations, providing computational versatility.
Journal ArticleDOI
Covert Communication in the Presence of an Uninformed Jammer
TL;DR: It is established that Alice can remain covert with a transmit power that does not decrease with $n$ even when Willie employs an optimal detector.
References
More filters
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.