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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
A New Approach for Time Synchronization in Wireless Sensor Networks: Pairwise Broadcast Synchronization
TL;DR: An energy-efficient clock synchronization scheme for Wireless Sensor Networks (WSNs) based on a novel time synchronization approach which significantly reduces the overall network-wide energy consumption without incurring any loss of synchronization accuracy compared to other well-known schemes.
Journal ArticleDOI
Spectrally Efficient Time-Frequency Training OFDM for Mobile Large-Scale MIMO Systems
TL;DR: The proposed time-frequency training OFDM (TFT-OFDM) transmission scheme achieves higher spectral efficiency as well as the coded bit error rate performance close to the ergodic channel capacity in mobile environments.
Proceedings ArticleDOI
Signature Based Spectrum Sensing Algorithms for IEEE 802.22 WRAN
Hou-Shin Chen,Wen Gao,D.G. Daut +2 more
TL;DR: In this article, several signature-based spectrum sensing algorithms are presented and the false alarm rate for detectors employing different algorithms is analytically derived from computer simulations using ATSC A/74 DTV signal captures as a test database.
Journal ArticleDOI
ECG Denoising and Compression Using a Modified Extended Kalman Filter Structure
TL;DR: Efficient denoising and lossy compression schemes for electrocardiogram (ECG) signals based on a modified extended Kalman filter (EKF) structure are presented, suitable for a hybrid system that integrates these algorithmic approaches for clean ECG data storage or transmission scenarios with high output SNRs, high CRs, and low distortions.
Journal ArticleDOI
Rao Test for Adaptive Detection in Gaussian Interference With Unknown Covariance Matrix
TL;DR: A two-stage detector whose second stage coincides with the Rao test is devised and represents a suitable means to restore the detection performance of the plain Rao test in the presence of a small number of training data.
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.