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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
Distributed estimation over a low-cost sensor network: a review of state-of-the-art
TL;DR: A comprehensive review of the state-of-the-art solutions in the domain of distributed estimation over a low-cost sensor network, exploring their characteristics, advantages, and challenging issues is presented.
Journal ArticleDOI
Cramér–Rao lower bound of basis image noise in multiple-energy x-ray imaging
Ewald Roessl,Christoph Herrmann +1 more
TL;DR: An analytical method to compute the basis image noise in the context of multi-energy x-ray imaging based on the Cramér-Rao lower bound (CRLB), which is used to minimize the noise of a photo-effect/Compton-effect basis material decomposition.
Journal Article
Estimation of Modal Decay Parameters from Noisy Response Measurements
TL;DR: In this paper, a nonlinear optimization of a model for exponential decay plus stationary noise floor is proposed to estimate the initial onse level, decay rate, and noise floor level from noisy measurement data.
Proceedings ArticleDOI
An empirical study of collaborative acoustic source localization
TL;DR: This work implements an AML-based source localization algorithm, and uses it to localize marmot alarm-calls, and shows that the AML source localization algorithms can be used to localise actual animals in their natural habitat, using a platform that is practical to deploy.
Journal ArticleDOI
Brain-Computer Interface Controlled Functional Electrical Stimulation System for Ankle Movement
TL;DR: This study suggests that the integration of a noninvasive BCI with a lower-extremity FES system is feasible and may offer a novel and effective therapy in the neuro-rehabilitation of individuals with lower extremity paralysis due to neurological injuries.
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.