Teoría de la Señal y Comunicaciones: Envíos recientes
Mostrando ítems 61-80 de 176
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Ponencia
Globally convergent Newton algorithms for blind decorrelation
(2003)This paper presents novel Newton algorithms for the blind adaptive decorrelation of real and complex processes. They are ...
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Artículo
EEG signal processing in mi-bci applications with improved covariance matrix estimators
(Institute of Electrical and Electronics Engineers Inc., 2019)n brain–computer interfaces (BCIs), the typical models of the EEG observations usually lead to a poor estimation of the ...
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Artículo
Solving permutations in frequencyy-domain for blind separation of an arbitrary number of speech sources
(Acoustical Society of America, 2011)Blind separation of speech sources in reverberant environ ments is usually performed in the time-frequency domain, which ...
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Initialization method for speech separation algorithms that work in the time-frequency domain
(Acoustical Society of America, 2010)This article addresses the problem of the unsupervised separa tion of speech signals in realistic scenarios. An initialization ...
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Centroid-Based Clustering with αβ-Divergences
(MDPI AG, 2019)Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The ...
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Unsupervised Common Spatial Patterns
(Institute of Electrical and Electronics Engineers Inc., 2019)The common spatial pattern (CSP) method is a dimensionality reduction technique widely used in brain-computer interface ...
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Artículo
Does a Previous Segmentation Improve the Automatic Detection of Basal Cell Carcinoma Using Deep Neural Networks?
(MDPI, 2022-02)Basal Cell Carcinoma (BCC) is the most frequent skin cancer and its increasing incidence is producing a high overload in ...
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A Joint Optimization Criterion for Blind DS-CDMA Detection
(Hindawi Publishing Corporation, 2006)This paper addresses the problem of the blind detection of a desired user in an asynchronous DS-CDMA communications ...
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Ponencia
Simulation of nonlinear distortion in W-CDMA communication circuits
(Society of Photo-optical Instrumentation Engineers (SPIE), 2004-04)Different circuit-level approaches to study the effects of nonlinear distortion on coded division multiple access (CDMA) ...
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Tesis Doctoral
Machine Learning for handwriting text recognition in historical documents
(2021-12-17)Olmos ABSTRACT In this thesis, we focus on the handwriting text recognition task over historical documents that are ...
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Artículo
A bivariate volterra series model for the design of power amplifier digital predistorters
(MDPI, 2021)The operation of the power amplifier (PA) in wireless transmitters presents a trade-off between linearity and power ...
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Digital predistortion technique with in-band interference optimisation applied to DVB-T2
(The Institution of Engineering and Technology, 2012-05)The efficient transmission and nonlinear modelling of orthogonal frequency division multiplexing (OFDM) signals are difficult ...
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Digital predistortion of power amplifiers using structured compressed-sensing Volterra series
(The Institution of Engineering and Technology, 2017-01)Digital predistortion has become an attractive technique for power amplifier linearisation whose limiting factor for using ...
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Volterra Behavioral Model for Wideband RF Amplifiers
(IEEE, 2007-03)This paper proposes a behavioral modeling approach for the description of nonlinearities in wideband wireless communication ...
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Performance of a behavioral model with long-term memory effects
(Cambridge University Press, 2013-08)This paper presents a new behavioral model for power amplifiers that accomplishes the capture of nonlinear low-frequency ...
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Amplifier Nonlinear Modeling with RF Pulses
(IEEE, 2008-11)This paper proposes a Volterra kernel identification procedure for wireless amplifiers with nonlinear memory. The technique ...
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Artículo
A New Approach to Pruning Volterra Models for Power Amplifiers
(IEEE, 2010-04)The objective of this paper is to present an approach to behavioral modeling that can be applied to predict the nonlinear ...
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Artículo
An Upgraded Dual-Band Digital Predistorter Model for Power Amplifiers Linearization
(IEEE, 2021-01)Digital predistortion (DPD) based on Volterra models is commonly employed to counteract the nonlinear distortion of power ...
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Artículo
A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
(IEEE, 2018-08)This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral ...
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Artículo
Transmitter Linearization Adaptable to Power-Varying Operation
(IEEE, 2017-10)This paper presents the design of a power-scalable digital predistorter (DPD) for transmitter architectures. The target ...