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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
Clock Synchronization of Wireless Sensor Networks
TL;DR: This article illustrates that many of the proposed clock synchronization protocols can be interpreted and their performance assessed using common statistical signal processing methods, and shows that advanced signal processing techniques enable the derivation of optimal clock synchronization algorithms under challenging scenarios.
Journal ArticleDOI
A wavelet-based joint estimator of the parameters of long-range dependence
Darryl Veitch,Patrice Abry +1 more
TL;DR: A joint estimator is presented for the two parameters that define the long-range dependence phenomenon in the simplest case and is found to be unbiased and of minimum or close to minimum variance for the scale parameter, and asymptotically unbiased and efficient for the second parameter.
Journal ArticleDOI
Precoding and Power Optimization in Cell-Free Massive MIMO Systems
TL;DR: Cell-free Massive MIMO is shown to provide five- to ten-fold improvement in 95%-likely per-user throughput over small-cell operation and a near-optimal power control algorithm is developed that is considerably simpler than exact max–min power control.
Journal ArticleDOI
Using penalized contrasts for the change-point problem
TL;DR: A methodology for model selection based on a penalized contrast is developed, and an adaptive choice of the penalty function for automatically estimating the dimension of the model, i.e., the number of change points, is proposed.
Journal ArticleDOI
An accurate algebraic solution for moving source location using TDOA and FDOA measurements
TL;DR: The estimated accuracy of the source position and velocity is shown to achieve the Crame/spl acute/r-Rao lower bound for Gaussian TDOA and FDOA noise at moderate noise level before the thresholding effect occurs.
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.