Special Topics in Information Technology.
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing AG,
2019.
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| Edition: | 1st ed. |
| Series: | SpringerBriefs in Applied Sciences and Technology Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- Intro
- Preface
- Introduction
- The Ph.D. Program in Information Technology
- Telecommunications Area
- Electronics Area
- Computer Science and Engineering Area
- Systems and Controls Area
- Contents
- Part I Telecommunications
- 1 Advances in Wave Digital Modeling of Linear and Nonlinear Systems: A Summary
- 1.1 Introduction
- 1.2 Part I: Rethinking Definitions of Waves
- 1.2.1 Mono-Parametric Definitions of Wave Variables
- 1.2.2 Biparametric Definitions of Wave Variables
- 1.3 Part II: Modeling Nonlinear One-Port and Multi-port Elements
- 1.3.1 Canonical Piecewise-Linear Representation of Curves in the Wave Digital Domain
- 1.3.2 Wave Digital Modeling of Nonlinear Elements Using the Lambert Function
- 1.3.3 Wave Digital Modeling of Nonlinear 3-Terminal Devices for Virtual Analog Applications
- 1.4 Part III: Modeling Connection Networks
- 1.4.1 Modeling Sallen-Key Audio Filters in the Wave Digital Domain
- 1.4.2 Modeling Circuits with Arbitrary Topologies and Active Linear Multiports Using Wave Digital Filters
- 1.4.3 Generalized Wave Digital Filter Realizations of Arbitrary Reciprocal Connection Networks
- 1.5 Part IV: Implementation of Circuits with Multiple Nonlinearities
- 1.5.1 Wave-Based Analysis of Large Nonlinear Photovoltaic Arrays
- 1.5.2 Wave Digital Modeling of the Diode-Based Ring Modulator
- 1.5.3 Linear Multi-step Discretization Methods with Variable Step-Size in Nonlinear Wave Digital Structures
- 1.6 Part V: New Applications of WD Principles
- 1.6.1 Wave Digital Implementation of Robust First-Order Differential Microphone Arrays
- 1.7 Conclusions and Future Works
- References
- 2 Enhancing Indoor Coverage by Multi-Pairs Copper Cables: The Analog MIMO Radio-over-Copper Architecture
- 2.1 Introduction
- 2.1.1 Indoor Propagation and C-RAN Architectures
- 2.1.2 Analog Fronthauling Architectures.
- 2.1.3 Radio-over-Copper
- 2.1.4 Contribution
- 2.2 The Genesis of the A-MIMO-RoC Architecture
- 2.3 Theoretical Feasibility and Challenges of A-MIMO-RoC
- 2.4 A-MIMO-RoC: Numerical Analysis and Simulations Works
- 2.5 A-MIMO-RoC Prototype and Experimental Results
- 2.5.1 Experimental Settings
- 2.5.2 A-MIMO-RoC for LTE Versus Cable IF
- 2.6 Conclusions
- References
- Part II Electronics
- 3 Chirp Generators for Millimeter-Wave FMCW Radars
- 3.1 Introduction
- 3.2 Digital PLL with Two-Point Modulation Scheme
- 3.3 Adaptive Digital Pre-distortion
- 3.4 Implemented Prototype
- 3.4.1 DTC Design and Control
- 3.4.2 DCO Design and Control
- 3.5 Measurements
- 3.6 Conclusions
- References
- 4 Modeling and Simulation of Spiking Neural Networks with Resistive Switching Synapses
- 4.1 Introduction
- 4.2 Brain-Inspired Computing
- 4.3 Resistive Switching in RRAM Devices
- 4.4 Synapse Circuits with RRAM Devices
- 4.4.1 1T1R Synapse
- 4.4.2 4T1R Synapse
- 4.5 Spiking Neural Networks with RRAM Synapses
- 4.5.1 Unsupervised Pattern Learning by SRDP
- 4.5.2 Associative Memory with 1T1R RRAM Synapses
- 4.6 Conclusions
- References
- Part III Computer Science and Engineering
- 5 Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data
- 5.1 Introduction
- 5.2 Related Works
- 5.3 Problem Formulation
- 5.4 Data as Random Vectors
- 5.4.1 Detectability Loss
- 5.4.2 QuantTree
- 5.5 Data Featuring Complex Structures
- 5.5.1 Sparsity-Based Anomaly Detection
- 5.5.2 Multiscale Anomaly-Detection
- 5.5.3 Dictionary Adaptation for ECG Monitoring
- 5.6 Conclusions
- References
- 6 Enhancing Video Recommendation Using Multimedia Content
- 6.1 Introduction and Context
- 6.2 Problem Formulation
- 6.3 Brief Overview of Ph.D. Research
- 6.4 Conclusion
- References.
- 7 Dynamic Application Autotuning for Self-aware Approximate Computing
- 7.1 Introduction
- 7.2 Autonomic Computing and Application Autotuning
- 7.3 The mARGOt Autotuning Framework
- 7.3.1 Problem Definition
- 7.3.2 Application-Knowledge
- 7.3.3 Interaction with the Application
- 7.3.4 Runtime Application-Knowledge Learner
- 7.4 Experimental Results
- 7.4.1 Evaluation of the Reactive Adaptation
- 7.4.2 Evaluation of the Proactive Adaptation
- 7.4.3 Evaluation of the Runtime Learner
- 7.5 Conclusion
- References
- 8 CAOS: CAD as an Adaptive Open-Platform Service for High Performance Reconfigurable Systems
- 8.1 Introduction
- 8.2 The CAOS Platform
- 8.2.1 CAOS Design Flow
- 8.2.2 CAOS Infrastructure
- 8.3 Architectural Templates
- 8.3.1 Master/Slave Architectural Template
- 8.3.2 Dataflow Architectural Template
- 8.3.3 Streaming Architectural Template
- 8.4 Experimental Results
- 8.5 Conclusions
- References
- Part IV Systems and Control
- 9 A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedback
- 9.1 Introduction
- 9.1.1 Research Challenges
- 9.2 Robust Impedance Shaping of Redundant Teleoperators
- 9.2.1 Model Predictive Sliding Mode Control
- 9.2.2 Robust Impedance Shaping
- 9.3 Virtual Force Feedback
- 9.4 Occlusion-Free Visual Feedback
- 9.5 Conclusion
- References.