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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
Wireless MIMO Switching: Weighted Sum Mean Square Error and Sum Rate Optimization
TL;DR: This paper addresses joint transceiver and relay design for a wireless multiple-input multiple-output (MIMO) switching scheme that enables data exchange among multiple users and shows that the optimized MIMO switching scheme based on the proposed algorithms significantly outperforms existing approaches in the literature.
Journal ArticleDOI
On the Maximal Invariant Statistic for Adaptive Radar Detection in Partially Homogeneous Disturbance With Persymmetric Covariance
TL;DR: It is shown that the (two-step) generalized-likelihood ratio test, Rao, and Wald tests can be all expressed in terms of the MIS, thus proving that they all ensure a constant false-alarm rate.
Proceedings ArticleDOI
A UWB-based 3D location system for indoor environments
Yuechun Chu,Aura Ganz +1 more
TL;DR: A 3D location system for indoor environments which comprises of a hierarchical location scheme and a UWB-based location network which consists of UWB sensors and tags and simulation results prove the effectiveness of the location scheme.
Journal ArticleDOI
Optimum Sensor Density in Distortion-Tolerant Wireless Sensor Networks
Jingxian Wu,Ning Sun +1 more
TL;DR: The optimum sensor node density for one- and two-dimensional (1-D and 2-D) wireless sensor networks (WSNs) with spatial source correlation is studied and guidelines on the design of practical WSNs are provided.
Journal ArticleDOI
Performance Analysis of Cooperative Spectrum Sensing Over $\kappa{-}\mu$ Shadowed Fading
TL;DR: Using the derived expression, latency involved in performing cooperative spectrum sensing over CR network is studied and a dynamic spectrum sensing cycle is proposed to reduce the overall system latency.
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.