bullet Advances in Signal Processing: Reviews, Vol. 2

   (Open Access Book)


  Title: Advances in Signal Processing: Reviews, Vol. 2, Book Series

  Editor: Sergey Y. Yurish

  Publisher: International Frequency Sensor Association (IFSA) Publishing

  Formats: paperback (print book) and printable pdf Acrobat (e-book) 472 pages

  Price: 125.00 EUR (shipping cost by a standard mail without a tracking code is included)

  Delivery time for print book: 7-17 days dependent on country of destination. Please contact us for priority (5-9 days), ground (3-8 days) and express (3-5 days) delivery options by e-mail

  Pubdate: 16 March 2021

  ISBN: 978-84-09-28830-4

  e-ISBN: 978-84-09-28831-1


  Creative Commons License



Open Access book
in pdf format

(free download, 13.0 Mb):





Buy print book:


 Book Description



This volume contains 12 chapters written by 36 authors from 12 countries: Argentina, Belarus, China, France, Germany, India, Iran, Mexico, Poland, Romania, Sweden and UAE. But it is not a simple set of reviews. Each of chapter contains the extended state-of-the art followed by new, obtained by authors results, unpublished before.


In order to offer a fast and easy reading of each topic, every chapter in ‘Advances in Signal Processing Reviews’ Vol. 2 is independent and self-contained. All chapters have the same structure: first, an introduction to specific topic under study; second, particular field description including sensing or/and measuring applications.


The book will be useful for post-graduate students, researchers, engineers and scientist working signal processing area.








1.Complex and Hypercomplex Multidimensional Analytic Signals – The Theory and Chosen Properties

1.1. Introduction
1.2. Analytic Signals in the Complex Domain
1.3. Analytic Signals in the Hypercomplex Domain
1.4. Polar Representation of Complex and Hypercomplex Analytic Signals
1.5. Conclusions

2. Signal Processing by Generalized Receiver  in Wireless Communications Systems  over Fading Channels

2.1. Generalized Detector: Quaternary DS-SSMA Wireless Communications Systems
2.2. Generalized Detector: Orthogonal Space-time Block Coding

3. Exploitation of the Properties  of Communication Signals: From Non-circular Signal to Circular Signal

3.1. Introduction
3.2. Exploitation of Non-circularity
3.3. Exploitation of Cyclostationarity
3.4. Exploitation of Conjugate Symmetry
3.5. Summary

4. A Review on Chirp and Some Other Related Signal Processing Models

4.1. Introduction
4.2. Notations and Preliminaries
4.3. Sinusoidal Model
4.4. One Dimensional One Component Chirp Model
4.5. One Dimensional Multicomponent Chirp Model
4.6. Polynomial Phase Model
4.7. Random Amplitude Chirp Model
4.8. Sum of Sinusoidal and Chirplet Model
4.9. Harmonic Chirp Model
4.10. Two Dimensional Chirp Model
4.11. Conclusions

5. New Statistical Algorithms for 3D Signal Processing: The Detection of Floating Objects on an Agitated Sea Surface

5.1. Introduction
5.2. 3D Subpixel Target Detection
5.3. 3D Multipixel Target Detection

6. Sleep Scoring Based on Biomedical Signals: A Survey and a New Algorithm

6.1. Sleep
6.2. Physiological Factors Affecting Sleep
6.3. Sleep Stages
6.4. The Importance of Sleep Study
6.5. Automatic Sleep Stages Classification
6.6. Conclusion and Future Works

7.  Statistical Learning of Phase Measuring Deflectometry for Defect Detection and Classification on Specular Cab Body Surfaces

7.1. Introduction
7.2. Data Acquisition
7.3. Feature Vectors
7.4. Learning Defect Classifiers
7.5. Performance Evaluation
7.6. Results and Discussion
7.7. Real-time Visualization
7.8. Conclusions

8. Feature Selection from Time-Frequency Images for Change Detection

8.1. Introduction
8.2. Data Transforms
8.3. Description of the Feature Selection Methods
8.4. Data Description and Analysis
8.5. Results of the Experiments
8.6. Conclusions

9. Information Entropy for Image Segmentation and Registration

9.1. Information Entropy
9.2. Entropy Based Image Segmentation
9.3. Entropy Based Image Registration
9.4. Conclusions

10. EEG Signal Analysis with a Statistical Entropy-based Measure for Alzheimer’s Disease Detection

10.1. Context
10.2. Electroencephalography (EEG)
10.3. State-of-the-art
10.4. EEG Database Description
10.5. EEG Functional Connectivity Measures
10.6. Experimental Study and Results
10.7. Discussion and Conclusion

11. Artefacts Detection in EEG Signals

11.1. Introduction
11.2. Artefacts
11.3. Database
11.4. Artefacts Removal Methods	
11.5. Conclusions

12. BeE-nose – An In-hive Multi-gas-sensor Extension to the IndusBee 4.0 System  for Hive Air Quality Monitoring and Varroa Infestation Level Estimation

12.1. Introduction
12.2. Integrated Gas Sensors and Sensing Systems
12.3. IndusBee 4.0 In-hive Monitoring System
12.4. In-field Application and Data Acquisition
12.5. Experiments and Results
12.6. Conclusions and Future Work




Buy this print book:



See other books published by IFSA Publishing

Sensors Web Portal's logo









1999 - 2022 Copyright ©, International Frequency Sensor Association (IFSA). All Rights Reserved.


Home - Bookstore - Sensors & Transducers journal - IFSA Privacy Policy