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Trends in digital signal processing : a festschrift in honour of A.G. Constantinides /
Digital signal processing is ubiquitous. It is an essential ingredient in many of today's electronic devices, ranging from medical equipment to weapon systems. It makes the difference between dumb and intelligent systems. This book is organized into five parts: (1) Introduction, which contains...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Singapore] : Boca Raton, FL :
Pan Stanford Publishing ; CRC Press,
[2015]
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| Colección: | Pan Stanford Series on Digital Signal Processing.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover; About the Series; Reviews; Contents; Foreword; Part I: Introduction; Chapter 1: Introduction; Part II: Digital Filters and Transforms; Chapter 2: A Review on Time-Interleaved Analog-to-Digital Converters and Mismatch Compensation Techniques; Chapter 3: How to Perform Very Wideband Digital Filtering in Modern Software Defined Radios; Chapter 4: A Survey of Digital All-Pass Filter-Based Real and Complex Adaptive Notch Filters; Chapter 5: Recent Advances in Sparse FIR Filter Design Using l0 and l1 Optimization Techniques.
- Chapter 6: Sparse Models in Echo Cancellation: When the Old Meets the NewChapter 7: Transform Domain Processing for Recent Signal and Video Applications; Part III: Signal Processing; Chapter 8: Ramanujan-Sums and the Representation of Periodic Sequences; Chapter 9: High-Dimensional Kernel Regression: A Guide for Practitioners; Chapter 10: Linear Microphone Array TDE via Generalized Gaussian Distribution; Chapter 11: Recognition of Human Faces under Different Degradation Conditions; Chapter 12: Semantic Representation, Enrichment, and Retrieval of Audiovisual Film Content.
- Chapter 13: Modeling the Structures of Complex Systems: Data Representations, Neural Learning, and Artificial MindPart IV: Communications; Chapter 14: Markov Chain Monte Carlo Statistical Detection Methods for Communication Systems; Chapter 15: Multiple Antennas for Physical Layer Secrecy; Chapter 16: Radio Frequency Localization for IoT Applications; Chapter 17: Classification and Prediction Techniques for Localization in IEEE 802.11 Networks; Part V: Finale; Chapter 18: Our World Is Better Served by DSP Technologies and Their Innovative Solutions; Closing Remarks; Back Cover.