Detalles MARC
000 -CABECERA |
campo de control de longitud fija |
00619nam a2200193Ia 4500 |
003 - IDENTIFICADOR DEL NÚMERO DE CONTROL |
campo de control |
OSt |
005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN |
campo de control |
20181023043908.0 |
008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL |
campo de control de longitud fija |
181022s9999||||xx |||||||||||||| ||spa|| |
040 ## - FUENTE DE LA CATALOGACIÓN |
Centro/agencia transcriptor |
Centro de Información y Bibliotecas |
082 ## - NÚMERO DE LA CLASIFICACIÓN DECIMAL DEWEY |
Número de clasificación |
621.3484.FERN.00 |
100 ## - ENTRADA PRINCIPAL--NOMBRE DE PERSONA |
Nombre de persona |
Fernandes Coelho, Rosângela |
Término indicativo de función/relación |
Autor |
245 #0 - MENCIÓN DE TÍTULO |
Título |
Signals And Images<br/> Advances And Results In Speech, Estimation, Compression, Recognition, Filtering, And Processing |
250 ## - MENCIÓN DE EDICIÓN |
Mención de edición |
1A. ed |
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
Lugar de publicación, distribución, etc. |
ESTADOS UNIDOS |
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
Nombre del editor, distribuidor, etc. |
CRC PRESS |
260 ## - PUBLICACIÓN, DISTRIBUCIÓN, ETC. |
Fecha de publicación, distribución, etc. |
2016 |
300 ## - DESCRIPCIÓN FÍSICA |
Extensión |
628 PP |
300 ## - DESCRIPCIÓN FÍSICA |
Dimensiones |
23.0 cm |
505 ## - NOTA DE CONTENIDO CON FORMATO |
Nota de contenido con formato |
Blind Source Separation: Principles Of Independent And Sparse Component Analysis<br/>. -- Introduction<br/>. -- The Blind Source Separation Problem<br/>. -- Bss Methods Based On Independent Component Analysis<br/>. -- Bss Methods Based On Sparse Component Analysis<br/>. -- Conclusions<br/>. -- Kernel-Based Nonlinear Signal Processing<br/>. -- Chapter Summary<br/>. -- Introduction<br/>. -- Reproducing Kernel Hilbert Spaces (Rkhs)<br/>. -- Nonlinear Regression In An Rkhs<br/>. -- Online Kernel-Based Function Approximation<br/>. -- Online Nonlinear System Identification<br/>. -- Bayesian Approaches To Kernel-Based Nonlinear Regression<br/>. -- Conclusion<br/>. -- Arithmetic Transforms: Theory, Advances, And Challenges<br/>. -- Introduction<br/>. -- Historical Context<br/>. -- Mathematical Background<br/>. -- Arithmetic Fourier Transform<br/>. -- Arithmetic Hartley Transform<br/>. -- Arithmetic Cosine Transform<br/>. -- Arithmetic Transform Interpolation<br/>. -- Discussion And Conclusion<br/>. -- Appendix: Dirichlet Inverse Of {(−1)N}<br/>. -- Distributed Particle Filtering In Cooperative Networks<br/>. -- Introduction<br/>. -- Cooperative Particle Filtering With Multiple Observers<br/>. -- Distributed Particle Filters<br/>. -- Cooperative Emitter Tracking Using Passive Sensors<br/>. -- Cooperative Equalization Of Digital Communication Channels<br/>. -- Conclusions<br/>. -- Appendix I<br/>. -- Appendix Ii<br/>. -- Acoustic Signal Processing<br/>. -- Rosângela Fernandes Coelho And Vítor Heloiz Nascimento<br/>. -- Empirical Mode Decomposition Theory Applied To Speech Enhancement<br/>. -- Introduction<br/>. -- Empirical Mode Decomposition<br/>. -- Speech Enhancement<br/>. -- Emd-Based Speech Enhancement Results<br/>. -- Conclusion<br/>. -- Acoustic Imaging Using The Kronecker Array Transform<br/>. -- Introduction<br/>. -- Signal Model<br/>. -- Methods For Acoustic Imaging<br/>. -- Kronecker Array Transform<br/>. -- Computional Cost<br/>. -- Examples<br/>. -- Practical Considerations<br/>. -- Conclusion<br/>. -- Automatic Evaluation Of Acoustically Degraded Full-Band Speech<br/>. -- Introduction<br/>. -- Highlighted Standards And References<br/>. -- Models For Telepresence System<br/>. -- Quality Evaluation Tools<br/>. -- Degradation Type Classification<br/>. -- Concluding Remarks<br/>. -- Models For Speech Processing<br/>. -- Introduction<br/>. -- Time-Frequency Models<br/>. -- Production Models<br/>. -- Linear Prediction<br/>. -- Spectral Representations And Models<br/>. -- Stochastic Models<br/>. -- Time-Varying Models<br/>. -- Acknowledgment<br/>. -- Image Processing<br/>. -- Ricardo Lopes de Queiroz<br/>. -- Energy-Aware Video Compression<br/>. -- Introduction<br/>. -- Background On H.264/Avc Implementation<br/>. -- Our H.264/Avc Test Systems<br/>. -- Power And Energy In Computing Systems<br/>. -- Energy Vs. Complexity<br/>. -- Energy-Aware Optimization<br/>. -- Results<br/>. -- Conclusions<br/>. -- Rotation And Scale Invariant Template Matching<br/>. -- Introduction<br/>. -- Conventional Bc-Invariant Template Matching<br/>. -- Brute Force Rstbc-Invariant Template Matching<br/>. -- Ciratefi: Rstbc-Invariant Template Matching<br/>. -- Forapro: Rtbc-Invariant Template Matching With Robustness To Scaling<br/>. -- Conclusions<br/>. -- Three-Dimensional Television (3Dtv)<br/>. -- 3D Basics<br/>. -- 3D Compression<br/>. -- Conclusions<br/>. -- Signal Processing In Communications<br/>. -- João Marcos Travassos Romano And Charles Casimiro Cavalcante<br/>. -- Overview Of Tensor Decompositions With Applications To Communications<br/>. -- Introduction<br/>. -- Notations<br/>. -- Tensor Models<br/>. -- Application To Mimo Communication Systems<br/>. -- Application To Cooperative Communications<br/>. -- Application To Multidimensional Array Processing<br/>. -- Summary<br/>. -- Signal Detection And Parameter Estimation In Massive Mimo Systems<br/>. -- Introduction<br/>. -- Signal Models And Application Scenarios<br/>. -- Detection Techniques<br/>. -- Parameter Estimation Techniques<br/>. -- Simulation Results<br/>. -- Future Trends And Emerging Topics<br/>. -- Concluding Remarks<br/>. -- Advances On Adaptive Sparse-Interpolated Filtering<br/>. -- Introduction<br/>. -- From The Fir Filter To The Sparse-Interpolated Fir Filter<br/>. -- Adaptive Sparse-Interpolated Fir Filters<br/>. -- Adaptive Sparse-Interpolated Volterra Filters<br/>. -- A Case Study Of Network Echo Cancellation<br/>. -- Concluding Remarks<br/>. -- Cognitive Power Line Communication<br/>. -- Introduction<br/>. -- Cognitive Plc<br/>. -- Spectrum Sensing Techniques<br/>. -- Spectrum Sensing Techniques For Cogplc<br/>. -- Future Trends<br/>. -- Conclusions<br/>. -- Selected Topics In Signal Processing<br/>. -- João Marcos Travassos Romano And Charles Casimiro Cavalcante<br/>. -- Information Geometry: An Introduction To New Models For Signal Processing<br/>. -- Introduction<br/>. -- Statistical Manifolds<br/>. -- Generalized Statistical Manifolds<br/>. -- Geometry Of (Generalized) Statistical Manifolds<br/>. -- Summary And Research Directions<br/>. -- Brief Introduction To Riemannian Geometry<br/>. -- Bio-Inspired And Information-Theoretic Signal Processing<br/>. -- Introduction<br/>. -- Artificial Neural Networks<br/>. -- Information Theoretic Learning<br/>. -- Bio-Inspired Optimization<br/>. -- Concluding Remarks<br/>. -- High-Resolution Techniques For Seismic Signal Prospecting<br/>. -- Introduction<br/>. -- Summary<br/>. -- High-Resolution Velocity Spectra<br/>. -- Event Detection Schemes For Seismic Data Analysis<br/>. -- 2D Deconvolution<br/>. -- Conclusion<br/>. -- Synthetic Aperture Imaging For Ultrasonic Non-Destructive Testing<br/>. -- Beamforming In Ultrasonic Array Imaging Systems<br/>. -- Instantaneous Phase Information To Improve Defect Detection<br/>. -- Simplified Process For Synthetic Aperture Imaging<br/>. -- Experimental Results<br/>. -- Comments |
650 ## - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
Término de materia o nombre geográfico como elemento de entrada |
INGENIERIA ELECTRONICA |
700 ## - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA |
Nombre de persona |
Heloiz Nascimento, Vitor |
700 ## - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA |
Nombre de persona |
Lopes de Queiroz, Ricardo |
700 ## - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA |
Nombre de persona |
Travassos Romano, João Marcos |
700 ## - PUNTO DE ACCESO ADICIONAL--NOMBRE DE PERSONA |
Nombre de persona |
Casimiro Cavalcante, Charles |
942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) |
Tipo de ítem Koha |
Libros |
Fuente del sistema de clasificación o colocación |
Dewey Decimal Classification |