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Listar por palabra clave "Computational complexity"

Mostrando ítems 1-12 de 12

A Joint Approach for Low-Complexity Channel Estimation in 5G Massive MIMO Systems

Bangash, kifayatullah; Khan, Imran; Lloret, Jaime; León Fernández, Antonio (MDPI AG, 2018-10)

[EN] Traditional Minimum Mean Square Error (MMSE) detection is widely used in wireless communications, however, it introduces matrix inversion and has a higher computational complexity. For massive Multiple-input Multiple-output ...
A Low Rank Channel Estimation Scheme in Massive Multiple-Input Multiple-Output

Shahjehan, Waleed; Waqar Shah, Syed; Lloret, Jaime; León Fernández, Antonio (MDPI AG, 2018)

[EN] Aiming at the problem of computational complexity of channel estimation, this paper proposes a low-complexity block matching pursuit (BMP) algorithm based on antenna grouping and block sparsity for frequency division ...
A Novel Codeword Selection Scheme for MIMO-MAC Lower-Bound Maximization

Shahjehan, Waleed; Shah, Syed Waqar; Lloret, Jaime; Bosch Roig, Ignacio (MDPI AG, 2018)

[EN] Aiming at the limitations of the existing Limited Feedback Interference Alignment algorithms, this paper proposes a direct codeword selection scheme that maximizes the lower-bound of the user rate and reduces the sum ...
Algoritmos de flujo y su implementación

Pérez López, Máximo (Universitat Politècnica de València, 2021-09-17)

[EN] The aim of the project is to survey existing state-of-the-art flow algorithms, and implement them in a conventional programming language. Moreover, design improvements and new solutions will be explored, based on the ...
Algoritmos para SAT basados en la representación de tablas booleanas

Collado Ponce, Manuel (Universitat Politècnica de València, 2024-10-23)

[ES] El problema SAT (satisfacibilidad en lógica proposicional) es muy importante, ya que fue el primer problema que se probó que era NP-completo y muchos otros problemas se resuelven mediante su reducción a SAT. Es por ...
Diseño de un método usando técnicas de inteligencia artificial y machine learning con Matlab para el mantenimiento y diagnóstico de fallos en paneles solares

Jordán Tomás, Joan (Universitat Politècnica de València, 2023-09-25)

[ES] Este Trabajo Final de Grado tiene como objetivo principal desarrollar una aplicación de técnicas de inteligencia artificial y aprendizaje automático utilizando Matlab en el ámbito del mantenimiento y diagnóstico de ...
Efficient Fire Segmentation for Internet-of-Things-Assisted Intelligent Transportation Systems

Muhammad, Khan; Ullah, Hayat; Khan, Salman; Hijji, Mohammad; Lloret, Jaime (Institute of Electrical and Electronics Engineers, 2023-11)

[EN] Rapid developments in deep learning (DL) and the Internet-of-Things (IoT) have enabled vision-based systems to efficiently detect fires at their early stage and avoid massive disasters. Implementing such IoT-driven ...
Fast exact variable order affine projection algorithm

Ferrer Contreras, Miguel; Gonzalez, Alberto; Diego Antón, María de; Piñero Sipán, María Gemma (Elsevier, 2012-09)

Variable order affine projection algorithms have been recently presented to be used when not only the convergence speed of the algorithm has to be adjusted but also its computational cost and its final residual error. These ...
High speed RS(255, 239) decoder based on LCC decoding

García Herrero, Francisco Miguel; Valls Coquillat, Javier; Meher, P. K. (Springer Verlag (Germany), 2011-12)

Algebraic Soft-Decision Decoding (ASD) of Reed-Solomon (RS) codes provides higher coding gain over the conventional hard-decision decoding (HDD), but involves high computational complexity. Among the existing ASD methods, ...
Optimització de l Espectre en transmissions SEFDM: Simulació i Anàlisi del Zero Padding i Prefix Cíclic en Diversos Entorns de Canal

Segura Bonal, Arcadi (Universitat Politècnica de València, 2024-04-09)

[ES] El present Treball de Final de Grau (TFG) investiga l'optimització de l'espectre en transmissions SEFDM (Spectral Efficient Frequency Division Multiplexing), una tècnica prometedora per a millorar l'eficiència espectral ...
Some new efficient multipoint iterative methods for solving nonlinear systems of equations

Lotfi, T.; Bakhtiari, P.; Cordero Barbero, Alicia; Mahdiani, K.; Torregrosa Sánchez, Juan Ramón (Taylor & Francis: STM, Behavioural Science and Public Health Titles, 2015-09-02)

It is attempted to put forward a new multipoint iterative method of sixth-order convergence for approximating solutions of nonlinear systems of equations. It requires the evaluation of two vector-function and two Jacobian ...
Transportation infrastructure network design in the presence of modal competition: computational complexity classification and a genetic algorithm

Perea Rojas Marcos, Federico; Menezes, Mozart B. C.; Mesa, Juan A.; Rubio-Del-Rey, Fernando (Springer-Verlag, 2020-07)

[EN] In this paper we analyze the computational complexity of transportation infrastructure network design problems, in the presence of a competing transportation mode. Some of these problems have previously been introduced ...