Guillermo Botella

发表

Performance-Power Evaluation of an OpenCL Implementation of the Simplex Growing Algorithm for Hyperspectral Unmixing

Antonio Plaza, Sergio Bernabé, Guillermo Botella, 2017, IEEE Geoscience and Remote Sensing Letters.

State-of-the-Art in Smith–Waterman Protein Database Search on HPC Platforms

Armando Eduardo De Giusti, Guillermo Botella, Enzo Rucci, 2016 .

A Fast Image Dehazing Algorithm Using Morphological Reconstruction

Eduardo Cabal-Yepez, Sergio Ledesma, Guillermo Botella, 2019, IEEE Transactions on Image Processing.

HEVC optimizations for medical environments

Uwe Meyer-Baese, Guillermo Botella, Carlos García, 2016, Commercial + Scientific Sensing and Imaging.

Performance portability study of an automatic target detection and classification algorithm for hyperspectral image analysis using OpenCL

Antonio Plaza, Guillermo Botella, Francisco D. Igual, 2015, SPIE Remote Sensing.

Portability Study of an OpenCL Algorithm for Automatic Target Detection in Hyperspectral Images

Antonio Plaza, Sergio Bernabé, Guillermo Botella, 2019, IEEE Transactions on Geoscience and Remote Sensing.

Comparative analysis of segmentation methods, including adaptive and HOS based algorithms

Guillermo Botella, Enrique Alameda-Hernandez, Fernando Aznar, 2016, 2016 17th International Conference on Harmonics and Quality of Power (ICHQP).

The driving regulators of the connectivity protein network of brain malignancies

Anke Meyer-Bäse, Diego P. Morales, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

First experiences of teaching quantum computing

Guillermo Botella, Ginés Carrascal, Alberto A. del Barrio, 2020, The Journal of Supercomputing.

HEVC optimization based on human perception for real-time environments

Christos Grecos, Guillermo Botella, Carlos García, 2018, Multimedia Tools and Applications.

GPU-based Signal Processing Scheme for Bioinspired Optical Flow

Francisco Tirado, Guillermo Botella, Fermin Ayuso, 2011 .

Pre-processing techniques to improve HEVC subjective quality

Christos Grecos, Uwe Meyer-Baese, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

A balanced HW/SW teaching approach for embedded microprocessors

Encarnación Castillo, Guillermo Botella, Antonio G. García, 2010 .

Information fusion based techniques for HEVC

Christos Grecos, Uwe Meyer-Baese, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

OpenCL-library-based implementation of SCLSU algorithm for remotely sensed hyperspectral data exploitation: clMAGMA versus viennaCL

Sergio Bernabé, Guillermo Botella, José M. R. Navarro, 2016, Remote Sensing.

DSP structure to motion computation on reconfigurable hardware

Uwe Meyer-Baese, Guillermo Botella, Manuel Rodríguez, 2009, Defense + Commercial Sensing.

Dynamical graph theory networks techniques for the analysis of sparse connectivity networks in dementia

Anke Meyer-Bäse, Diego P. Morales, Guillermo Botella, 2017, Commercial + Scientific Sensing and Imaging.

Real-Time Motion Processing Estimation Methods in Embedded Systems

Guillermo Botella, Diego González, G. Botella, 2012 .

NIOS II processor-based acceleration of motion compensation techniques

Anke Meyer-Bäse, Guillermo Botella, Uwe Meyer-Bäse, 2011, Defense + Commercial Sensing.

Smith-Waterman Protein Search with OpenCL on an FPGA

Armando Eduardo De Giusti, Guillermo Botella, Enzo Rucci, 2015, TrustCom 2015.

OSWALD: OpenCL Smith–Waterman on Altera’s FPGA for Large Protein Databases

Armando Eduardo De Giusti, Guillermo Botella, Enzo Rucci, 2018 .

AERODYNAMICSANALYSISACCELERATIONTHROUGH RECONFIGURABLE HARDWARE

E. Andres, Guillermo Botella, María Molina, 2008 .

Independent component analysis algorithm FPGA design to perform real-time blind source separation

Uwe Meyer-Baese, Guillermo Botella, Anke Meyer-Baese, 2015, Commercial + Scientific Sensing and Imaging.

Custom instruction for NIOS II processor FFT implementation for image processing

Uwe Meyer-Baese, Guillermo Botella, Sindhuja Sundararajana, 2016, Commercial + Scientific Sensing and Imaging.

Parallel implementation of the multiple endmember spectral mixture analysis algorithm for hyperspectral unmixing

Guillermo Botella, Francisco D. Igual, Manuel Prieto-Matias, 2015, SPIE Remote Sensing.

PLAM: A Posit Logarithm-Approximate Multiplier

Nader Bagherzadeh, Guillermo Botella, Min Soo Kim, 2021, IEEE Transactions on Emerging Topics in Computing.