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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
Noncoherent Short Packet Detection and Decoding for Scatter Radio Sensor Networking
TL;DR: It is shown that the performance gap between coherent and noncoherent reception depends on whether channel codes are employed, the fading conditions, the utilized coding interleaving depth, and the design choice for extra diversity versus extra power gain.
Journal ArticleDOI
Multiple radar targets estimation by exploiting induced amplitude modulation
TL;DR: In this article, the problem of estimating complex amplitudes, Doppler frequencies, and directions of arrival (DOA) of multiple targets present in the same range-azimuth resolution cell of a surveillance radar is addressed.
Journal ArticleDOI
TCP CRAHN: A Transport Control Protocol for Cognitive Radio Ad Hoc Networks
TL;DR: This paper investigates the limitations of classical TCP newReno in a CR ad hoc network environment, and proposes TCP CRAHN, a window-based TCP-friendly protocol that incorporates spectrum awareness by a combination of explicit feedback from the intermediate nodes and the destination.
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Multiple breaks detection in general causal time series using penalized quasi-likelihood
TL;DR: In this paper, an off-line multiple break detection algorithm was proposed for a general class of models, where the observations are supposed to fit a parametric causal process with distinct parameters on multiple periods.
Journal ArticleDOI
Optimal measurements for quantum multiparameter estimation with general states
TL;DR: In this article, the authors generalize the approach by Braunstein and Caves to quantum multiparameter estimation with general states, and derive a matrix bound of the classical Fisher information matrix due to each measurement operator.
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.