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Daniel U . Campos-Delgado

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Papers by Daniel U . Campos-Delgado

Research paper thumbnail of A Multi-spectral Image Database for In-vivo Hand Perfusion Evaluation

Research paper thumbnail of Oral Cancer Detection by Multi-Spectral Fluorescence Lifetime Imaging Microscopy (m-FLIM) and Linear Unmixing

CRC Press eBooks, Jul 27, 2023

Research paper thumbnail of Quadratic blind linear unmixing: A graphical user interface for tissue characterization

Computer Methods and Programs in Biomedicine, Feb 1, 2016

Research paper thumbnail of Robust design of a linear quadratic power control algorithm in multiple-access networks

International Journal of Control, Apr 20, 2018

Research paper thumbnail of Geometry-Based Statistical Modeling of Non-Stationary MIMO Vehicle-to-Vehicle Channels

A novel geometry-based statistical model (GBSM) for non-stationary multiple-input multiple-output... more A novel geometry-based statistical model (GBSM) for non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) fading channels is presented in this paper. In contrast to the existing geometrical models for non-stationary channels, which are based on a spherical wave propagation (SWP) approach, our proposal builds on the principles of plane wave propagation (PWP). This modeling approach simplifies the mathematical analysis of the relevant statistics of non-stationary channels, such as the space-time-frequency cross-correlation function (STF-CCF). To demonstrate the mathematical tractability of the model, we derive a novel closed-form expression for the STF-CCF. For that purpose, we consider a geometrical one-ring scattering model, and assume that the angle of arrival (AOA) of the received multipath signal follows the von Mises distribution. The obtained results provide valuable theoretical insights into the cross-correlation properties of non-stationary MIMO V2V fading channels.

Research paper thumbnail of First-order statistics analysis of two new geometrical models for non-WSSUS mobile-to-mobile channels

In this paper, we analyze the first-order (FO) statistics of two new geometry-based statistical m... more In this paper, we analyze the first-order (FO) statistics of two new geometry-based statistical models for small-scale nonstationary time-frequency (TF) dispersive mobile-to-mobile (M2M) fading channels. We derive exact analytic expressions for the joint and marginal probability density functions (PDFs) of the envelope and phase of both models. In addition, we analyze the asymptotic behavior of these PDFs as the number of multipath components of the received signal approaches infinity. The obtained results are of practical relevance, as they can be used as a benchmark to investigate the influence of the small-scale fading statistics of nonstationary channels on the M2M communication systems' performance.

Research paper thumbnail of A Non-WSSUS Channel Simulator for V2X Communication Systems

Electronics, Jul 24, 2020

Research paper thumbnail of Modeling of Non-Stationary Double-Rayleigh Fading Channels for Mobile-to-Mobile Communications

European Wireless Conference, May 18, 2016

Research paper thumbnail of Registro elástico de imágenes médicas multimodales basado en medidas de variabilidad local

Revista mexicana de ingeniería biomédica, Jan 15, 2013

Research paper thumbnail of Non-rigid Multimodal Medical Image Registration Based on Local Variability

Revista mexicana de ingeniería biomédica, 2013

Research paper thumbnail of Non-rigid multimodal image registration based on local variability measures and optical flow

Research paper thumbnail of Event‐triggered feedback for power allocation in wireless networks

Iet Control Theory and Applications, Sep 1, 2015

Research paper thumbnail of Supplementary Data from AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography

This document contains suplementary data (Figure S1, Figure S2, Table S1, and Table S2). Each of ... more This document contains suplementary data (Figure S1, Figure S2, Table S1, and Table S2). Each of these Figures and Tables has a detailed explanation for their calculations

Research paper thumbnail of Hybrid Brain Tumor Classification Scheme of Histopathology Hyperspectral Images Using Linear Unmixing and Deep Learning

Social Science Research Network, 2022

Research paper thumbnail of Estimation of deoxygenated and oxygenated hemoglobin by multispectral blind linear unmixing

2022 25th Euromicro Conference on Digital System Design (DSD)

Research paper thumbnail of Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing

2022 25th Euromicro Conference on Digital System Design (DSD)

Research paper thumbnail of A hybrid approach to the hyperspectral classification of in vivo brain tissue: linear unmixing with spatial coherence and machine learning

Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3

Research paper thumbnail of Complete Balancing of the Six-Bar Mechanism Using Fully Cartesian Coordinates and Multiobjective Differential Evolution Optimization

Mathematics, May 26, 2022

Research paper thumbnail of Nonlinear extended blind end-member and abundance extraction for hyperspectral images

Research paper thumbnail of Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications

Research paper thumbnail of A Multi-spectral Image Database for In-vivo Hand Perfusion Evaluation

Research paper thumbnail of Oral Cancer Detection by Multi-Spectral Fluorescence Lifetime Imaging Microscopy (m-FLIM) and Linear Unmixing

CRC Press eBooks, Jul 27, 2023

Research paper thumbnail of Quadratic blind linear unmixing: A graphical user interface for tissue characterization

Computer Methods and Programs in Biomedicine, Feb 1, 2016

Research paper thumbnail of Robust design of a linear quadratic power control algorithm in multiple-access networks

International Journal of Control, Apr 20, 2018

Research paper thumbnail of Geometry-Based Statistical Modeling of Non-Stationary MIMO Vehicle-to-Vehicle Channels

A novel geometry-based statistical model (GBSM) for non-stationary multiple-input multiple-output... more A novel geometry-based statistical model (GBSM) for non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) fading channels is presented in this paper. In contrast to the existing geometrical models for non-stationary channels, which are based on a spherical wave propagation (SWP) approach, our proposal builds on the principles of plane wave propagation (PWP). This modeling approach simplifies the mathematical analysis of the relevant statistics of non-stationary channels, such as the space-time-frequency cross-correlation function (STF-CCF). To demonstrate the mathematical tractability of the model, we derive a novel closed-form expression for the STF-CCF. For that purpose, we consider a geometrical one-ring scattering model, and assume that the angle of arrival (AOA) of the received multipath signal follows the von Mises distribution. The obtained results provide valuable theoretical insights into the cross-correlation properties of non-stationary MIMO V2V fading channels.

Research paper thumbnail of First-order statistics analysis of two new geometrical models for non-WSSUS mobile-to-mobile channels

In this paper, we analyze the first-order (FO) statistics of two new geometry-based statistical m... more In this paper, we analyze the first-order (FO) statistics of two new geometry-based statistical models for small-scale nonstationary time-frequency (TF) dispersive mobile-to-mobile (M2M) fading channels. We derive exact analytic expressions for the joint and marginal probability density functions (PDFs) of the envelope and phase of both models. In addition, we analyze the asymptotic behavior of these PDFs as the number of multipath components of the received signal approaches infinity. The obtained results are of practical relevance, as they can be used as a benchmark to investigate the influence of the small-scale fading statistics of nonstationary channels on the M2M communication systems' performance.

Research paper thumbnail of A Non-WSSUS Channel Simulator for V2X Communication Systems

Electronics, Jul 24, 2020

Research paper thumbnail of Modeling of Non-Stationary Double-Rayleigh Fading Channels for Mobile-to-Mobile Communications

European Wireless Conference, May 18, 2016

Research paper thumbnail of Registro elástico de imágenes médicas multimodales basado en medidas de variabilidad local

Revista mexicana de ingeniería biomédica, Jan 15, 2013

Research paper thumbnail of Non-rigid Multimodal Medical Image Registration Based on Local Variability

Revista mexicana de ingeniería biomédica, 2013

Research paper thumbnail of Non-rigid multimodal image registration based on local variability measures and optical flow

Research paper thumbnail of Event‐triggered feedback for power allocation in wireless networks

Iet Control Theory and Applications, Sep 1, 2015

Research paper thumbnail of Supplementary Data from AI-Assisted In Situ Detection of Human Glioma Infiltration Using a Novel Computational Method for Optical Coherence Tomography

This document contains suplementary data (Figure S1, Figure S2, Table S1, and Table S2). Each of ... more This document contains suplementary data (Figure S1, Figure S2, Table S1, and Table S2). Each of these Figures and Tables has a detailed explanation for their calculations

Research paper thumbnail of Hybrid Brain Tumor Classification Scheme of Histopathology Hyperspectral Images Using Linear Unmixing and Deep Learning

Social Science Research Network, 2022

Research paper thumbnail of Estimation of deoxygenated and oxygenated hemoglobin by multispectral blind linear unmixing

2022 25th Euromicro Conference on Digital System Design (DSD)

Research paper thumbnail of Glioblastoma Classification in Hyperspectral Images by Nonlinear Unmixing

2022 25th Euromicro Conference on Digital System Design (DSD)

Research paper thumbnail of A hybrid approach to the hyperspectral classification of in vivo brain tissue: linear unmixing with spatial coherence and machine learning

Artificial Intelligence in Cancer Diagnosis and Prognosis, Volume 3

Research paper thumbnail of Complete Balancing of the Six-Bar Mechanism Using Fully Cartesian Coordinates and Multiobjective Differential Evolution Optimization

Mathematics, May 26, 2022

Research paper thumbnail of Nonlinear extended blind end-member and abundance extraction for hyperspectral images

Research paper thumbnail of Extended Blind End-Member and Abundance Extraction for Biomedical Imaging Applications

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