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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
Pilot-based channel estimation for OFDM systems by tracking the delay-subspace
TL;DR: The presented techniques are based on the observation that the wireless radio channel can be parametrized as a combination of paths, each characterized by a delay and a complex amplitude, which shows fast temporal variations due to the mobility of terminals while the delays are almost constant over a large number of OFDM symbols.
Journal ArticleDOI
Likelihood-Ratio Approaches to Automatic Modulation Classification
TL;DR: This survey paper focuses on the automatic modulation classification methods based on likelihood functions, studies various classification solutions derived from likelihood ratio test, and discusses the detailed characteristics associated with all major algorithms.
Journal ArticleDOI
Implications of neuronal diversity on population coding
Maoz Shamir,Haim Sompolinsky +1 more
TL;DR: It is shown that information capacity of a heterogeneous network is not limited by the correlated noise, but scales linearly with the number of cells in the population, and an optimal linear readout that takes into account the neuronal heterogeneity can extract most of this information.
Proceedings ArticleDOI
Compressive wide-band spectrum sensing
TL;DR: A compressive wide-band spectrum sensing scheme for cognitive radios and the performance of this scheme is evaluated in terms of the mean squared error of the power spectrum density estimate and the probability of detecting signal occupancy.
Proceedings ArticleDOI
Effects of Correlated Shadowing: Connectivity, Localization, and RF Tomography
Neal Patwari,Piyush Agrawal +1 more
TL;DR: Measurement-based models are applied to analyze and to verify both the benefits and drawbacks of correlated link shadowing, finding that shadowing correlations between links enable the tomographic imaging of an environment from pairwise RSS measurements.
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.