Recent advances in information, communications and signal processing / editors, Andy W. H. Khong, Yong Liang Guan.

Format:

Book

Contributor:

Khong, Andy W. H., editor.

Guan, Yong Liang, editor.

Series:

River Publishers series in signal, image and speech processing.

River Publishers Series in Signal, Image and Speech Processing

Language:

English

Subjects (All):

Signal processing--Digital techniques--Data processing.

Signal processing.

Physical Description:

1 online resource (220 pages).

Edition:

1st ed.

Place of Publication:

Gistrup, Denmark ; Delft, Netherlands : River Publishers, [2018]

Summary:

In terms of research in signal processing topics, the two chapters included in this book have a strong emphasis on advances in algorithmic development in the biomedical, and human-computer interfaces domain areas.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

Acknowledgements

List of Contributors

List of Figures

List of Tables

List of Notations

List of Abbreviations

1: Non-Orthogonal Multiple Access: Recent Developments and Future Trends

1.1 Introduction

1.2 Classification of NOMA Schemes

1.2.1 NOMA Via Code Domain Multiplexing

1.2.1.1 Low Density Spreading CDMA

1.2.1.2 Low Density Spreading OFDM

1.2.1.3 Sparse Code Multiple Access

1.2.1.4 Multi-User Shared Access

1.2.1.5 Interleave-Dvision Multiple Access

1.2.2 NOMA Via Power Domain Multiplexing

1.3 NOMA

1.3.1 Basic Principle

1.3.2 NOMA Transmitter and Receiver Architectures

1.3.3 Motivations to Adopt NOMA as MA Scheme for 5G

1.4 Review of Some Recent Developments for NOMA

1.4.1 Throughput and Outage Analysis

1.4.2 Power Allocation and User Grouping

1.4.3 Fairness in NOMA

1.4.4 MIMO NOMA

1.4.5 Massive MIMO NOMA

1.4.6 Cooperation in NOMA

1.4.7 NOMA for Relaying Networks

1.4.8 NOMA and Simultaneous Wireless Information and Power Transfer

1.5 Performance-Limiting Factors for Existing NOMA

1.5.1 Proposed PIC-Based Receiver Structure

1.5.2 Performance Comparison

1.6 Future Research Direction

1.6.1 Modulation and Coding Scheme

1.6.2 Hybrid MA

1.6.3 Imperfect CSI

1.6.4 Cross Layer Optimization

1.6.5 HARQ Design for NOMA

1.6.6 Massive MIMO NOMA

1.6.7 Full Duplex NOMA

1.7 Conclusion

References

2: Beam Steering MIMO Antenna for Mobile Phone of 5G Cellular Communications Operating at MM-Wave Frequencies: Design

2.1 Introduction

2.2 The 5th-Generation Cellular Mobile Communications

2.2.1 Design Issues at Base Station for 5G Cellular Mobile Communication System.

2.2.2 Design Issues at User Equipment for 5G Cellular Mobile Communication System

2.2.3 Applications and Techniques Supported by 5G Technology

2.3 Proposed Antenna: Design and Analysis

2.3.1 Proposed MIMO Antenna Model #1

2.3.2 Proposed MIMO Antenna Model #2

2.3.3 Proposed MIMO Antenna Model #3

2.4 Conclusion

3: Random Linear Network Coding with Source Precoding for Multi-Session Networks

3.1 Introduction

3.2 Network Model with RLNC

3.3 Precoder Design and Achievable Rate Region for Double-Unicast Networks

3.3.1 An Optimal Achievable Rate Region with RLNC

3.3.2 A Linear Capacity-Achieving Scheme

3.3.3 An Achievable Region in Terms of Min-Cuts

3.3.4 Joint Routing and RLNC

3.4 Asymptotic Capacity-Achieving for Multi-Source Erasure Networks

3.4.1 The Capacity Region

3.4.2 Asymptotical Capacity-Achieving with RLNC

3.4.2.1 Time-Extended Networks

3.4.2.2 Linear Finite-Field MAC

3.4.3 Multi-Source Erasure Network with Broadcast Channels

3.4.4 General Model for Wireless Erasure Networks

3.5 Notes and Further Reading

Appendix

4: Decoding Scheduling for Low-Density Parity-Check Codes

4.1 Introduction

4.2 Belief Propagation Decoding for LDPC Codes

4.3 Fixed Schedules

4.3.1 The Flooding Schedule

4.3.2 Standard Sequential Schedules

4.3.3 Decoding Schedules for Faster Convergence

4.3.4 Protograph-Based LDPC Codes

4.3.5 Protograph-Based Edge-Wise Schedule

4.3.6 The M2I2-Based Algorithm

4.3.7 High-Order Prediction for the M2I2-Based Algorithm

4.3.8 Performance Evaluation

4.4 A Reduction of the Complexity for Scheduling Arrangement

4.4.1 Performance Evaluation for the LM2I2-Based Algorithm

4.5 Lower Error Floor Via Schedule Diversity

4.5.1 Decoding Scheme Combined with Schedule Diversity.

4.5.2 Comparison with Other Error Floor Lowering Techniques

4.6 Remarks

5: Location Template Matching on Rigid Surfaces for Human-Computer Touch Interface Applications

5.1 Introduction

5.2 LTM for Impact Localization on Solids

5.3 Time-Reversal Theory-Based LTM

5.4 Classical Plate Theory-Based LTM

5.4.1 All-Pole Filter Model-Based LTM (AP-LTM)

5.4.2 Zak Transform for Time-Frequency-Based LTM (Z-LTM)

5.5 Noise-Robust LTM Using Band-Limited Components

5.5.1 Band-Limited Components as Location-Dependent Features

5.5.2 The BLC-LTM Algorithm

5.5.3 Experiment Results

5.6 Concluding Remarks

6: Automatic Placental Maturity Grading via Deep Convolutional Networks

6.1 Introduction

6.2 Related Work

6.3 Methodology

6.3.1 Convolutional Neural Network

6.3.1.1 Convolution

6.3.1.2 Down-Sampling

6.3.1.3 Activation Functions

6.3.2 Automatic Grading Algorithm Based on CNN

6.3.2.1 Framework

6.3.2.2 Data Augmentation

6.3.2.3 Transfer Learning

6.3.2.4 Feature Visualization

6.4 Experiments

6.4.1 Experimental Settings

6.4.2 Experimental Results

6.4.3 Result Analysis

6.5 Conclusion

Index

About the Editors.

Notes:

Description based on print version record.

ISBN:

1-000-79276-5

1-00-333921-2

1-003-33921-2

1-000-79592-6

87-93609-42-6

9781003339212

OCLC:

1035518875