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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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Dissertation
Location estimation in sensor networks.
TL;DR: Location Estimation in Sensor Networks (LEIN) as discussed by the authors is a location estimation method for sensor networks, which is based on location estimation in sensor networks and location estimation of sensor nodes.
Journal ArticleDOI
An adaptive multimodal biometric management algorithm
TL;DR: The evolutionary nature of adaptive, multimodal biometric management (AMBM) allows it to react in pseudoreal time to changing security needs as well as user needs and its effectiveness is demonstrated.
Detect and Avoid: An Ultra-Wideband/WiMAX Coexistence Mechanism
TL;DR: In this paper, the authors describe the obstacles faced in achieving robust detection and avoidance with an on-chip implementation of basic DAA functionality, and present measurement results for operation of a single UWB device with a WiMAX system.
Journal ArticleDOI
Optimal 3D single-molecule localization for superresolution microscopy with aberrations and engineered point spread functions
TL;DR: An optimal 3D single-molecule localization estimator is presented in a general framework for noisy, aberrated and/or engineered PSF imaging and is shown to be efficient, meaning it reaches the fundamental Cramer–Rao lower bound of x, y, and z localization precision.
Journal ArticleDOI
Maximum likelihood and the single receptor.
Robert G. Endres,Ned S. Wingreen +1 more
TL;DR: A lower limit is derived by applying maximum likelihood to the time series of receptor occupancy by solely considering the unoccupied time intervals--disregarding the occupied time intervals as these do not contain any information about the external particle concentration, and only decrease the accuracy of the concentration estimate.
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.