Aníbal R. Figueiras-Vidal

V. John Mathews

Expert Syst. Appl., 2020

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.

[BibT_eX]

[DOI]

Siham Tabik

María M. Ruiz

Francisco Herrera

CoRR, 2020

2019

On improving CNNs performance: The case of MNIST.

[BibT_eX]

[DOI]

Inf. Fusion, 2019

Exploiting label information to improve auto-encoding based classifiers.

[BibT_eX]

[DOI]

Adrián Sánchez-Morales

Alexander Benítez-Buenache

Neurocomputing, 2019

Likelihood ratio equivalence and imbalanced binary classification.

[BibT_eX]

[DOI]

V. John Mathews

Expert Syst. Appl., 2019

A Principled Two-Step Method for Example-Dependent Cost Binary Classification.

[BibT_eX]

[DOI]

Javier Mediavilla-Relaño

Aitor Gutiérrez-López

María-Elena Fernández-García

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

Machine-Health Application Based on Machine Learning Techniques for Prediction of Valve Wear in a Manufacturing Plant.

[BibT_eX]

[DOI]

Jorge Larrey-Ruiz

Antonio Ros-Ros

Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

2018

Training neural network classifiers through Bayes risk minimization applying unidimensional Parzen windows.

[BibT_eX]

[DOI]

Monson H. Hayes

Pattern Recognit., 2018

On building ensembles of stacked denoising auto-encoding classifiers and their further improvement - a correction.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

On building ensembles of stacked denoising auto-encoding classifiers and their further improvement.

[BibT_eX]

[DOI]

Inf. Fusion, 2018

Linear discriminants described by disjoint tangent configurations.

[BibT_eX]

[DOI]

Juan-Antonio Martínez-García

Stanley C. Ahalt

Neurocomputing, 2018

Deep MLPs for Imbalanced Classification.

[BibT_eX]

[DOI]

David Díaz-Vico

José R. Dorronsoro

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Boosting ensembles with controlled emphasis intensity.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.

[BibT_eX]

[DOI]

Sergio González

Salvador García

Francisco Herrera

Pattern Recognit., 2017

Values Deletion to Improve Deep Imputation Processes.

[BibT_eX]

[DOI]

Adrián Sánchez-Morales

Proceedings of the Biomedical Applications Based on Natural and Artificial Computing, 2017

Pre-emphasizing Binarized Ensembles to Improve Classification Performance.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2017

Generalized CMAC adaptive ensembles for concept-drifting data streams.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Laplace Approximation for Divisive Gaussian Processes for Nonstationary Regression.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Experiments in combining boosting and deep stacked networks.

[BibT_eX]

[DOI]

Manuel Montoya-Catala

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

An Experiment in Pre-Emphasizing Diversified Deep Neural Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

2015

Neighborhood Guided Smoothed Emphasis for Real Adaboost Ensembles.

[BibT_eX]

[DOI]

Neural Process. Lett., 2015

Post-aggregation of classifier ensembles.

[BibT_eX]

[DOI]

Inf. Fusion, 2015

A new boosting design of Support Vector Machine classifiers.

[BibT_eX]

[DOI]

Efraín Mayhua-López

Inf. Fusion, 2015

Does diversity improve deep learning?

[BibT_eX]

[DOI]

R. F. Alvear-Sandoval

Proceedings of the 23rd European Signal Processing Conference, 2015

Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks.

[BibT_eX]

[DOI]

Francisco Herrera

Proceedings of the Engineering Applications of Neural Networks, 2015

2014

Divisive Gaussian Processes for Nonstationary Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Laplace approximation with Gaussian Processes for volatility forecasting.

[BibT_eX]

[DOI]

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

Enhanced Adaptive Volterra Filtering by Automatic Attenuation of Memory Regions and Its Application to Acoustic Echo Cancellation.

[BibT_eX]

[DOI]

Marcus Zeller

Walter Kellermann

IEEE Trans. Signal Process., 2013

Feature Combiners With Gate-Generated Weights for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Classifying patterns with missing values using Multi-Task Learning perceptrons.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2013

Smoothed Emphasis for Boosting Ensembles.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

2012

Real AdaBoost With Gate Controlled Fusion.

[BibT_eX]

[DOI]

Efraín Mayhua-López

IEEE Trans. Neural Networks Learn. Syst., 2012

An Exploration of Research Directions in Machine Ensemble Theory and Applications.

[BibT_eX]

[DOI]

Lior Rokach

Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011

Adaptive Combination of Volterra Kernels and Its Application to Nonlinear Acoustic Echo Cancellation.

[BibT_eX]

[DOI]

Marcus Zeller

Walter Kellermann

IEEE Trans. Speech Audio Process., 2011

Heteroscedastic Gaussian process regression using expectation propagation.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

A block-based approach to adaptively bias the weights of adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 2011

2010

Adaptively biasing the weights of adaptive filters.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2010

Marginalized neural network mixtures for large-scale regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Pattern classification with missing data: a review.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2010

Sparse Spectrum Gaussian Process Regression.

[BibT_eX]

[DOI]

Joaquin Quiñonero Candela

Carl Edward Rasmussen

J. Mach. Learn. Res., 2010

Committees of Adaboost ensembles with modified emphasis functions.

[BibT_eX]

[DOI]

Neurocomputing, 2010

Least-squares adaptation of affine combinations of multiple adaptive filters.

[BibT_eX]

[DOI]

Marcus Zeller

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2010), May 30, 2010

Improving boosting performance with a local combination of learners.

[BibT_eX]

[DOI]

Efraín Mayhua-López

Proceedings of the International Joint Conference on Neural Networks, 2010

A pseudoregression formulation of emphasized soft target procedures for classification problems.

[BibT_eX]

[DOI]

Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009

Adaptive Combination of Proportionate Filters for Sparse Echo Cancellation.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2009

Improving performance of neural classifiers via selective reduction of target levels.

[BibT_eX]

[DOI]

I. Mora-Jiménez

Neurocomputing, 2009

K nearest neighbours with mutual information for simultaneous classification and missing data imputation.

[BibT_eX]

[DOI]

Michel Verleysen

Neurocomputing, 2009

Combining Missing Data Imputation and Pattern Classification in a Multi-Layer Perceptron.

[BibT_eX]

[DOI]

Intell. Autom. Soft Comput., 2009

Designing Model Based Classifiers by Emphasizing Soft Targets.

[BibT_eX]

[DOI]

Fundam. Informaticae, 2009

Inter-domain Gaussian Processes for Sparse Inference using Inducing Features.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

A Dynamically Adjusted Mixed Emphasis Method for Building Boosting Ensembles.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Sparse Deconvolution Using Support Vector Machines.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2008

Emerging Machine Learning Techniques in Signal Processing.

[BibT_eX]

[DOI]

Theodoros Evgeniou

Sergios Theodoridis

EURASIP J. Adv. Signal Process., 2008

Applying emphasized soft targets for Gaussian Mixture Model based classification.

[BibT_eX]

[DOI]

Proceedings of the International Multiconference on Computer Science and Information Technology, 2008

A normalized adaptation scheme for the convex combination of two adaptive filters.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

An emphasized target smoothing procedure to improve MLP classifiers performance.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

K-nearest neighbours based on mutual information for incomplete data classification.

[BibT_eX]

[DOI]

Michel Verleysen

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Fast evaluation of neural networks via confidence rating.

[BibT_eX]

[DOI]

Neurocomputing, 2007

A Single Layer Perceptron Approach to Selective Multi-task Learning.

[BibT_eX]

[DOI]

Jaisiel Madrid-Sánchez

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

Multi-task Neural Networks for Dealing with Missing Inputs.

[BibT_eX]

[DOI]

Jesús Serrano-García

Proceedings of the Bio-inspired Modeling of Cognitive Tasks, 2007

A New Cost Function for Binary Classification Problems Based on the Distributions of the Soft Output for Each Class.

[BibT_eX]

[DOI]

José M. Leiva-Murillo

Proceedings of the International Joint Conference on Neural Networks, 2007

2006

Mean-square performance of a convex combination of two adaptive filters.

[BibT_eX]

[DOI]

Ali H. Sayed

IEEE Trans. Signal Process., 2006

Support Vector Machines for Nonlinear Kernel ARMA System Identification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2006

Plant identification via adaptive combination of transversal filters.

[BibT_eX]

[DOI]

Signal Process., 2006

Boosting by weighting critical and erroneous samples.

[BibT_eX]

[DOI]

Neurocomputing, 2006

Pattern Classification with Missing Values using Multitask Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Improved Blind Equalization via Adaptive Combination of Constant Modulus Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A new cost function to build MLPs by means of regularized boosting.

[BibT_eX]

Jaisiel Madrid-Sánchez

Proceedings of the Second IASTED International Conference on Computational Intelligence, 2006

Designing neural network committees by combining boosting ensembles.

[BibT_eX]

[DOI]

Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

New algorithms for improved adaptive convex combination of LMS transversal filters.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2005

Support vector machines framework for linear signal processing.

[BibT_eX]

[DOI]

Signal Process., 2005

Exploiting Multitask Learning Schemes Using Private Subnetworks.

[BibT_eX]

[DOI]

Jesús Serrano-García

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Fast Classification with Neural Networks via Confidence Rating.

[BibT_eX]

[DOI]

Sergio Muñoz-Romero

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Steady state performance of convex combinations of adaptive filters.

[BibT_eX]

[DOI]

Ali H. Sayed

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

An On-line Fisher Discriminant.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

Boosting by weighting boundary and erroneous samples.

[BibT_eX]

[DOI]

Proceedings of the 13th European Symposium on Artificial Neural Networks, 2005

2004

Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.

[BibT_eX]

[DOI]

J. VLSI Signal Process., 2004

Support vector method for robust ARMA system identification.

[BibT_eX]

[DOI]

Luis Martínez-Ramón

Mario de Prado-Cumplido

IEEE Trans. Signal Process., 2004

Local estimation of posterior class probabilities to minimize classification errors.

[BibT_eX]

[DOI]

Alicia Guerrero-Curieses

Rocío Alaíz-Rodríguez

IEEE Trans. Neural Networks, 2004

Adaptively combined LMS and logistic equalizers.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2004

2003

A mixed neural-genetic algorithm for the broadcast scheduling problem.

[BibT_eX]

[DOI]

Sancho Salcedo-Sanz

Carlos Bousoño-Calzón

IEEE Trans. Wirel. Commun., 2003

Empirical risk minimization for support vector classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2003

A robust support vector algorithm for nonparametric spectral analysis.

[BibT_eX]

[DOI]

Ana García Armada

IEEE Signal Process. Lett., 2003

Growing support vector classifiers with controlled complexity.

[BibT_eX]

[DOI]

Emilio Parrado-Hernández

I. Mora-Jiménez

Pattern Recognit., 2003

Separate-variable adaptive combination of LMS adaptive filters for plant identification.

[BibT_eX]

[DOI]

Proceedings of the NNSP 2003, 2003

The Beneficial Effects of Using Multi-net Systems That Focus on Hard Patterns.

[BibT_eX]

[DOI]

Amanda J. C. Sharkey

Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003

2002

An adaptive combination of adaptive filters for plant identification.

[BibT_eX]

[DOI]

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Support Vector Method for ARMA System Identification: A Robust Cost Interpretation.

[BibT_eX]

[DOI]

Mario de Prado-Cumplido

Proceedings of the Artificial Neural Networks, 2002

Support Vector Robust Algorithms for Non-parametric Spectral Analysis.

[BibT_eX]

[DOI]

Arcadi García-Alberola

Mariano Valdés

Proceedings of the Artificial Neural Networks, 2002

Multi-dimensional Function Approximation and Regression Estimation.

[BibT_eX]

[DOI]

Gustavo Camps-Valls

Emilio Soria-Olivas

Juan José Pérez-Ruixo

Proceedings of the Artificial Neural Networks, 2002

A Trainable Classifier via k Nearest Neighbors.

[BibT_eX]

I. Mora-Jiménez

Ascensión Gallardo-Antolín

Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

I-Gaia: an information processing layer for the DIET platform.

[BibT_eX]

[DOI]

Francisco J. Valverde-Albacete

Harold Y. Molina-Bulla

A. B. Rodríguez-González

T. Koutris

C. Xirouhaki

Manolis Koubarakis

Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001

Weighted least squares training of support vector classifiers leading to compact and adaptive schemes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2001

On the structure of strict sense Bayesian cost functions and its applications.

[BibT_eX]

[DOI]

Armando Malanda-Trigueros

IEEE Trans. Neural Networks, 2001

A genetic algorithm for noisy channel color quantization design.

[BibT_eX]

[DOI]

Fernando Calleja-Garde

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Soft-decision equalizers for in-service error rate monitoring.

[BibT_eX]

[DOI]

Luis M. San-José-Revuelta

Signal Process., 2000

Efficient Block Training of Multilayer Perceptrons.

[BibT_eX]

[DOI]

Neural Comput., 2000

Class separability estimation and incremental learning using boundary methods.

[BibT_eX]

[DOI]

José-Luis Sancho

William E. Pierson

Batu Ulug

Stanley C. Ahalt

Neurocomputing, 2000

Adaptive combination of LMS and logistic-linear equalizers to improve the speed-performance compromise.

[BibT_eX]

[DOI]

Itziar G. Alonso-González

Proceedings of the 10th European Signal Processing Conference, 2000

Improving generalization ability of HMM/NNs based classifiers.

[BibT_eX]

[DOI]

Miguel A. Ferrer

Carlos Manuel Travieso-González

Proceedings of the 10th European Signal Processing Conference, 2000

1999

Sample selection via clustering to construct support vector-like classifiers.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1999

Cost functions to estimate a posteriori probabilities in multiclass problems.

[BibT_eX]

[DOI]

Juan Ignacio Arribas

Sebastian Urban-Munoz

IEEE Trans. Neural Networks, 1999

Total least squares for block training of neural networks.

[BibT_eX]

[DOI]

Itziar G. Alonso-González

Neurocomputing, 1999

Improving a HMM Speech Recognizer with a Polynomial GMDH Neural Network Postprocessor.

[BibT_eX]

Carlos Manuel Travieso-González

Miguel Angel Ferrer-Ballester

Proceedings of the Signal and Image Processing (SIP), 1999

Estimates of constrained multi-class a posteriori probabilities in time series problems with neural networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference Neural Networks, 1999

Neural networks to estimate ML multi-class constrained conditional probability density functions.

[BibT_eX]

[DOI]

Juan Ignacio Arribas

Tülay Adali

Proceedings of the International Joint Conference Neural Networks, 1999

1998

Generalizing CMAC architecture and training.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1998

Fourier analysis of the generalized CMAC neural network.

[BibT_eX]

[DOI]

Armando Malanda-Trigueros

Neural Networks, 1998

A refinement algorithm for vector quantization codebook design.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Conference on Electronics, Circuits and Systems, 1998

GGMAC-based equalizer for nonlinear channels.

[BibT_eX]

[DOI]

Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Non-linear equalizers that estimate error rates during reception.

[BibT_eX]

[DOI]

Proceedings of the 9th European Signal Processing Conference, 1998

1997

A bank of Hopfield neural networks for the shortest path problem.

[BibT_eX]

[DOI]

Carlos Bousoño-Calzón

Signal Process., 1997

1996

Wiener extrapolation of sequences and the expectation-maximization algorithm.

[BibT_eX]

[DOI]

Carlos J. Pantaleón-Prieto

IEEE Signal Process. Lett., 1996

Competitive local linear modeling.

[BibT_eX]

[DOI]

Ignacio Santamaría-Caballero

Signal Process., 1996

Adaptive+darwinian approach for the estimation and tracking of time delays.

[BibT_eX]

[DOI]

Armando Malanda

G. Cain

Proceedings of the 8th European Signal Processing Conference, 1996

A fast LUT+CMAC data predistorter.

[BibT_eX]

[DOI]

Proceedings of the 8th European Signal Processing Conference, 1996

Adaptive signal processing: A discussion of trade-offs from the perspective of artificial learning.

[BibT_eX]

[DOI]

Proceedings of the 8th European Signal Processing Conference, 1996

1995

An adaptive beamforming technique based on cyclostationary signal properties.

[BibT_eX]

[DOI]

Luis Castedo

Miguel Angel Ferrer-Ballester

IEEE Trans. Signal Process., 1995

Efficient adaptive vector quantization of LPC parameters.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 1995

1994

Recurrent radial basis function networks for optimal symbol-by-symbol equalization.

[BibT_eX]

[DOI]

Miguel Angel Ferrer-Ballester

Signal Process., 1994

Improving CELP voice quality by projection similarity measure.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Spoken Language Processing, 1994

Linearly-constrained adaptive beamforming using cyclostationary signal properties.

[BibT_eX]

[DOI]

Luis Castedo

Ching-Yih Tseng

Lloyd J. Griffiths

Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993

Nonlinear Time Series Modeling by Competitive Segmentation of State Space.

[BibT_eX]

[DOI]

Carlos Pantaleón

Proceedings of the New Trends in Neural Computation, 1993

Optimal Blind Equalization of Gaussian Channels.

[BibT_eX]

[DOI]

Luis Weruaga-Prieto

Juan Antonio Hernández-Méndez

Proceedings of the New Trends in Neural Computation, 1993

Measuring similarities among speakers by means of neural networks.

[BibT_eX]

[DOI]

Proceedings of the Third European Conference on Speech Communication and Technology, 1993

1992

Correction to 'Comments on 'A curiosum concerning discrete time convolution', ' plus a remark.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1992

Guest Editorial.

[BibT_eX]

[DOI]

Vito Cappellini

Eur. Trans. Telecommun., 1992

Optimal variable step LMS look-up-table plus transversal filter nonlinear echo cancellers.

[BibT_eX]

[DOI]

Luis Weruaga-Prieto

Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991

Comments on 'A curiosum concerning discrete time convolution' [by E.B. Hall and G.L. Wise].

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 1991

Phase constraining algorithms for data blind equalization.

[BibT_eX]

[DOI]

Juan Antonio A. Hernández-Méndez

Proceedings of the 1991 International Conference on Acoustics, 1991

1990

Adaptive iterative algorithms for spiky deconvolution.

[BibT_eX]

[DOI]

Domingo Docampo-Amoedo

IEEE Trans. Acoust. Speech Signal Process., 1990

On using the adaptive delay filter in sparse identification and extensions to sparse deconvolution and sinusoid detection.

[BibT_eX]

[DOI]

Domingo Docampo-Amoedo

Proceedings of the 1990 International Conference on Acoustics, 1990

1989

A deconvolution approach to harmonic signal extrapolation.

[BibT_eX]

[DOI]

Domingo Docampo-Amoedo

Proceedings of the IEEE International Conference on Acoustics, 1989

1988

Non-quadratic recursive algorithms (RLK) for transversal plant identification.

[BibT_eX]

[DOI]

Francisco Lorenz Speranzini

Proceedings of the IEEE International Conference on Acoustics, 1988

1987

On using cooccurrence matrices to detect periodicities.

[BibT_eX]

[DOI]

Ramón García Gómez

IEEE Trans. Acoust. Speech Signal Process., 1987

A new class of high-order Yule-Walker estimates.

[BibT_eX]

[DOI]

L. Vergara-Domínguez

Proceedings of the IEEE International Conference on Acoustics, 1987

Analysis of LK frequency-adaptive transversal filters in plant identification.

[BibT_eX]

[DOI]

Francisco Javier Casajús-Quirós

Luis Vergara-Dominguez

Proceedings of the IEEE International Conference on Acoustics, 1987

1986

On the behaviour of reduced complexity code-excited linear prediction (CELP).

[BibT_eX]

[DOI]

Luis A. Hernández Gómez

Jesús M. Alcázar-Fernández

Ramón García-Gómez

Proceedings of the IEEE International Conference on Acoustics, 1986

Envelope constrained multipulse speech coding.

[BibT_eX]

[DOI]

Ramón García-Gómez

Proceedings of the IEEE International Conference on Acoustics, 1986

1985

L1-Norm versus L2-Norm minimization in parametric spectral analysis: A general discussion.

[BibT_eX]

[DOI]

Ramón García-Gómez

Proceedings of the IEEE International Conference on Acoustics, 1985

Data echo nonlinear cancellation.

[BibT_eX]

[DOI]

Mariano García Otero

Jesús M. Alcázar-Fernández

Proceedings of the IEEE International Conference on Acoustics, 1985

On absolute value minimization approaches to tauberian modelling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 1985

1980

Comments on and Extensions of Wolf's Signal-to-Channel Noise Formulas for Delta-Modulated Systems.

[BibT_eX]

[DOI]