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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
Packet Structure and Receiver Design for Low Latency Wireless Communications With Ultra-Short Packets
TL;DR: An efficient receiver is proposed that exploits useful information available in the data transmission period to enhance the reliability of the short packet transmission and channel estimation algorithm to use the most reliable data symbols as virtual pilots to improve quality of the channel estimate.
Journal ArticleDOI
Estimating Ocean Vector Winds and Currents Using a Ka-Band Pencil-Beam Doppler Scatterometer
Ernesto Rodriguez,Alexander Wineteer,Dragana Perkovic-Martin,Tamás Gál,Bryan Stiles,N. Niamsuwan,Raquel Monje +6 more
TL;DR: The results indicate that Ka-band Doppler scatterometry could be a feasible method for wide-swath simultaneous measurements of winds and currents from space.
Journal ArticleDOI
SNR and Noise Variance Estimation for MIMO Systems
Aniruddha Das,Bhaskar D. Rao +1 more
TL;DR: This paper addresses SNR and noise variance estimation of MIMO systems for both a data aided (DA) model, a non-data aided (NDA) models, as well as a mixed model that uses known and unknown data symbols.
Journal ArticleDOI
Decision Fusion with Unknown Sensor Detection Probability
TL;DR: In this letter, several alternatives proposed in the literature are compared and new fusion rules (namely “ideal sensors” and “locally-optimum detection”) are proposed, showing attractive performance and linear complexity.
Journal ArticleDOI
Multiple Gateway Transmit Diversity in Q/V Band Feeder Links
TL;DR: A dynamic rain attenuation model is used to analytically derive average outage probability in the fundamental 1 + 1 GW case and an analysis leading to a quantification of the end-to-end performance is provided.
References
More filters
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.