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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
Optimization-based Robot Compliance Control: Geometric and Linear Quadratic Approaches
TL;DR: A geometric view on impedance control is developed for stiff environments, resulting in a “static-optimized” controller that minimizes a combined generalized position and force trajectory error metric.
Dissertation
Antenna arrays for multipath and interference mitigation in GNSS receivers
TL;DR: In this article, aplicacion sistematica del primio de maxima verosimilitud (ML) junto with un modelo de senal in el cual las armas espaciales no tienen estructura, and en cual el ruido is Gaussiano and presenta una matriz de correlacion desconocida.
Journal ArticleDOI
Automatic Precision Control Positioning for Wireless Sensor Network
TL;DR: An automatic precision control algorithm is proposed as a solution for the instability of RSS-based WSN positioning systems and supported by both deduction and simulations, this method will improve the stability of WSN location systems.
Journal ArticleDOI
Randomized Switched Antenna Array FMCW Radar for Automotive Applications
TL;DR: In this article, a randomized SAA (RSAA) FMCW radar is proposed, which has high delay/space resolution for target location detection and character extraction, and can also solve the coupling problem.
Patent
Methods and apparatus for generating synchronization/pilot sequences for embedding in wireless signals
TL;DR: In this article, a method for generating a set of synchronization/pilot sequences (SPS) by generating a plurality of candidate SPS using different initial conditions is presented, and a selected permutation is identified from the plurality of permutations, where each permutation corresponds to the set of SPS being generated.
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.