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Fundamentals Of Statistical Signal Processing

Steven Kay
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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.

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Citations
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Journal ArticleDOI

Target Localization from Bistatic Range Measurements in Multi-Transmitter Multi-Receiver Passive Radar

TL;DR: A closed-form weighted least squares method for finding a target position in the presence of multiple transmitters and multiple receivers from time difference of arrival (TDOA) measurements is proposed and a weighting matrix is derived in two different conditions.
Journal ArticleDOI

A Comprehensive Study of Sampling-Based Optimum Signal Detection in Concentration-Encoded Molecular Communication

TL;DR: It is found that the sampling-based signal detection scheme thus developed can be applied to both binary and multilevel ASK-based CEMC systems, although M-ary systems suffer more from higher BER.
Proceedings ArticleDOI

Detection of Multiple Heartbeats Using Doppler Radar

TL;DR: A generalized likelihood ratio test (GLRT) based on a model of the heartbeat is developed, and it is shown that this can be used to distinguish between the presence of 2, 1, or 0 subjects, even with a single antenna.
Journal ArticleDOI

TDOA Source Localization in the Presence of Synchronization Clock Bias and Sensor Position Errors

TL;DR: A novel method in obtaining sequentially algebraic solutions of the source location, the sensor positions, and the synchronization offsets is developed and is shown to reach the CRLB accuracy analytically using small noise analysis.
Journal ArticleDOI

Secure On-Off Transmission Design With Channel Estimation Errors

TL;DR: This paper designs secure on-off transmission schemes to maximize the throughput subject to a constraint on secrecy outage probability and shows how the optimal on- off transmission thresholds and the achievable throughput vary with the amount of knowledge on the eavesdropper's channel.
References
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Book

Adaptive Filter Theory

Simon Haykin
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.