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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
Integrating energy calculations with functional assays to decipher the specificity of G protein–RGS protein interactions
TL;DR: RGS proteins combine a conserved core interface with peripheral Modulatory residues to selectively optimize G protein recognition and inactivation and it is shown that this approach can be extended to analyze interaction specificity across other large protein families.
Proceedings ArticleDOI
IEEE Body Area Networks for Medical Applications
TL;DR: The IEEE SG-BAN is introduced and investigates the performance of 802.15.4b and 802.4a for wearable healthcare applications in the heterogeneous networks environment and finds asymmetric clear channel assessment (CCA) abilities among different types of wireless technology.
Journal ArticleDOI
Optimal echo spacing for multi-echo imaging measurements of Bi-exponential T2 relaxation.
TL;DR: The results demonstrate that optimal echo spacing (TE(opt)) is not generally the minimal available given other pulse sequence constraints.
Proceedings ArticleDOI
Detecting Low-Power Primary Signals via Distributed Sensing to Support Opportunistic Spectrum Access
TL;DR: This paper evaluates how a sensor network deployed to provide distributed spectrum sensing can assist cognitive operation, and considers sensor networks with regular topology, where a high level of cooperation also means that sensors far from the source of the primary signal are involved in the sensing process.
Proceedings ArticleDOI
Camera identification from printed images
TL;DR: The range of conditions under which reliable sensor identification is possible is determined and the most influential factors in identifying the sensor from a printed picture are the accuracy of angular alignment when scanning, printing quality, paper quality, and size of the printed picture.
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.