Year 2022

64. Sresth Gupta, Anurag Singh, Abhishek Sharma, RK Tripathy, ‘dSVRI: A PPG-based Novel Feature for Early Diagnosis of Type-II Diabetes Mellitus’, IEEE Sensors Letters, 2022.  

63. SK Ghosh, RN Ponnalagu, RK Tripathy, Ganapati Panda, RB Pachori, "Automated Heart Sound Activity Detection from PCG Signal using Time-frequency Domain Deep Neural Network", IEEE Transactions on Instrumentation and Measurement, 2022. 

62. Nabanita Sinha, RK Tripathy, Arpita Das, "ECG beat Classification based on Discriminative Multilevel Feature Analysis and Deep Learning Approach", Biomedical Signal Processing and control, Elsevier, 2022.  

54. Rajesh Reddy Yakkati, Rakesh Reddy Yakkati, RK Tripathy, Linga Reddy Cenkeramaddi, "Radio Frequency Spectrum Sensing by Automatic Modulation Classification in Cognitive Radio System using Multiscale Deep CNN", IEEE Sensors Journal, 2022. ieeexplore.ieee.org/document/9615184 code available at github.com/yrajeshreddy914/AMC_EWT

Year 2021

53. Jay Karhade, SK Ghosh, Pranjali Gajbhiye, RK Tripathy, UR Acharya, "Multichannel Multiscale Two-stage Convolutional Neural Network for the Detection and Localization of Myocardial Infarction using Vectorcardiogram Signal", MDPI Applied Sciences, 2021. https://www.mdpi.com/2076-3417/11/17/7920. code available at https://github.com/tripathy12345/MI_VCG_DL.

52. Tejas Radhakrishnan, Jay Karhade, SK Ghosh, PR Mudali, RK Tripathy*, UR Acharya, "AFCNNet: Automated detection of AF using Chirplet transform and Deep Convolutional Bidirectional Long Short Term Memory Network with ECG signals", Computers in Biology and Medicine, Elsevier, 2021, https://www.sciencedirect.com/science/article/pii/S0010482521005771. Code available at https://github.com/tripathy12345/AF_paper_code

51. Abhishek Varshney, SK Ghosh, Sibasankar Padhy, RK Tripathy, UR Acharya,"Automated Classification of Mental Arithmetic Tasks Using Recurrent Neural Network and Entropy Features Obtained from Multi-channel EEG Signals", MDPI Electronics, 2021. www.mdpi.com/2079-9292/10/9/1079 (IF-2.39)

50. D Maheswari, SK Ghosh, RK Tripathy*, M Sharma, UR Acharya, "Automated Accurate Emotion Recognition System using Rhythm-Specific Deep Convolutional Neural Network Technique with Multi-Channel EEG Signals", Computers in Biology and Medicine, Elsevier, 2021, code available at github.com/tripathy12345/multi-channel-eeg-deep-cnn-emotion-recognition. (IF-4.58)

49. SK Ghosh, RK Tripathy, RN Ponnalagu, "A Transform domain Approach for the Compression of Fetal Phonocardiogram Signal", IEEE Sensors Letters, 2021.ieeexplore.ieee.org/document/9411736

48. Pranjali Gajbhiye, N Mingchinda, W Chen, SC Mukhopadhyay, T Wilaiprasitporn*, RK Tripathy*, "Wavelet Domain Optimized Savitzky-Golay Filter for the Removal of Motion Artifacts from EEG Recordings", IEEE Transactions on Instrumentation and Measurement, Vol. 70, No. 4002111, 2021. doi.org/10.1109/TIM.2020.3041099, code available at github.com/tripathy12345/WOSGfilteringIEEETIM (IF-4.01)

47. Abhijeet Bhattacharyya, RK Tripathy, L. Garg, RB Pachori, "A novel multivariate-multiscale approach for computing EEG spectral and temporal complexity for human emotion recognition", IEEE Sensors Journal, Vol. 21, issue-3, 2021. ieeexplore.ieee.org/document/9207950 (IF-3.30)

46. Rohan Panda, Sahil Jain, RK Tripathy*, RR Sharma, RB Pachori, "Sliding Mode Singular Spectrum Analysis for the Elimination of Cross-terms in Wigner-Ville Distribution", Circuits, Systems & Signal Processing, Springer, vol. 40, pp1207–1232, 2021. (*corresponding author) link.springer.com/article/10.1007/s00034-020-01537-0?wt_mc=Internal.Event.1.SEM.ArticleAuthorOnlineFirst, code available at github.com/tripathy12345/SMSSA_WVD (IF-2.22)

Year 2020

45. Samit Kumar Ghosh, RN Ponnalagu, RK Tripathy*, UR Acharya, "Deep Layer Kernel Sparse Representation Network for the Detection of Heart valve Ailments from the Time-Frequency Representation of PCG Recordings", Biomed Research International, Hindawi, 2020. www.hindawi.com/journals/bmri/2020/8843963/ (IF-3.41)

44. Piyush Jain, Pranjali Gajbhiye, RK Tripathy*, UR Acharya, "A two-stage CNN Architecture for the classification of Low-risk and High-risk hypertension classes using Multichannel ECG Signals", Informatics in Medicine Unlocked, Elsevier, 2020. www.sciencedirect.com/science/article/pii/S2352914820306304

43. RK Tripathy*, SK Ghosh, Pranjali Gajbhiye, UR Acharya*, "Development of automated sleep stages classification system using multivariate projection-based fixed boundary empirical wavelet transform and entropy features extracted from multichannel EEG signals", Entropy, MDPI Journal, 2020. www.mdpi.com/1099-4300/22/10/1141

42. Rohan Panda, Sahil Jain, RK Tripathy*, UR Acharya, "Detection of Shockable Ventricular Cardiac Arrhythmias from ECG Signals using FFREWT Filter-bank and Deep Convolutional Neural Network", Computers in Medicine and Biology, Elsevier, 2020. (*corresponding author) (IF: 4.58) https://www.sciencedirect.com/science/article/pii/S0010482520302742

41. RK Tripathy*, Pranjali Gajbhiye, UR Acharya, "Automated Sleep Apnea Detection from Cardio-Pulmonary Signal using Bivariate Fast and Adaptive EMD Coupled with Cross Time-Frequency Analysis ", Computers in Medicine and Biology, Elsevier, Vol. 120, May 2020, 103769 , 2020. (*corresponding author) (IF: 4.58) https://www.sciencedirect.com/science/article/abs/pii/S0010482520301414

40. SK Ghosh, RK Tripathy*, MRA Paternina, Juan J Arrieta, A. Z. Mendez, GR Naik, "Detection of Atrial Fibrillation from Single Lead ECG Signal using Multirate Cosine Filter bank and Deep Neural Network", Journal of Medical Systems, Springer, Vol. 44 (144) 2020. (*corresponding author) (IF: 4.46) https://link.springer.com/article/10.1007/s10916-020-01565-y

39. Samit Kumar Ghosh, RN Ponnalagu, RK Tripathy, UR Acharya, "Automated Detection of Heart Valve Diseases using Chirplet Transform and Multiclass Composite Classifier with PCG Signals ", Computers in Medicine and Biology, Elsevier, 2020. (IF-4.58) https://www.sciencedirect.com/science/article/pii/S0010482520300305

38. Sahil Jain, Rohan Panda, RK Tripathy*, "Multivariate Sliding Mode Singular Spectrum Analysis for the Decomposition of Multisensor Time series ", IEEE Sensors Letters, Vol. 4 (6), pp. 1-4, 2020. (*corresponding author) https://ieeexplore.ieee.org/document/9097414

37. Himali Singh, RK Tripathy, RB Pachori, "Detection of sleep apnea from heart beat interval and ECG derived respiration signals using sliding mode singular spectrum analysis", Digital Signal Processing, Elsevier, 2020. (Q2 rated, IF: 2.87) https://www.sciencedirect.com/science/article/pii/S105120042030141X

36. T Siddharth, Pranjali Gajbhiye, RK Tripathy*, RB Pachori, "EEG based Detection of Focal Seizure Area using FBSE-EWT rhythm and SAE-SVM Network", IEEE Sensors Journal, 2020. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/9096344

35. J. A. de la O Serna, MRA Paternina, A. Z. mendez, RK Tripathy*, RB Pachori, "EEG-Rhythm Specific Taylor-Fourier filter bank Implemented with O-splines for the Detection of Epilepsy using EEG Signals", IEEE Sensors Journal, 2020. (*corresponding author) (IF-3.30) https://ieeexplore.ieee.org/document/9017999

34. Pranjali Gajbhiye, RK Tripathy*, RB Pachori, "Elimination of Ocular Artifacts from single channel EEG Signals using FBSE-EWT based rhythms", IEEE Sensors Journal, 2020. (*corresponding author) (IF-3.30) https://ieeexplore.ieee.org/document/8932609

33. M. Srirangan, RK Tripathy*, RB Pachori, "Time-Frequency Domain Deep Convolutional Neural Network for the Classification of Focal and Non-Focal EEG Signals, IEEE Sensors Journal, 2020. (*corresponding author) (IF-3.30) https://ieeexplore.ieee.org/abstract/document/8913620

32. Pavan B, V. Jeffry Louis, A. Subramaniam, RK Tripathy, S. Banerjee and S. Kundu, "Implementation of Fast ICA Using Memristor Crossbar Arrays for Blind Image Source Separations", IET Circuits, Devices & Systems, 2020. (Q4 rated, IF: 1.27) https://digital-library.theiet.org/content/journals/10.1049/iet-cds.2019.0420

Year 2019

31. Viswabhargav Ch.S.S.S, RK Tripathy*, U R Acharya, "Automated Detection of Sleep Apnea using Sparse Residual Entropy Features with Various Dictionaries extracted From Heart rate and EDR signals", Computers in Biology and Medicine, Elsevier, Vol. 108, pp: 20-30, 2019. (*corresponding author) (IF-4.58) https://www.sciencedirect.com/science/article/pii/S0010482519300897

30. RK Tripathy*, Mario R. A. Paternina, Juan G. Arrieta, Alejandro Zamora-M endez, and Ganesh R. Naik, "Automated Detection of Congestive Heart Failure from Electrocardiogram Signal using Stockwell Transform and Hybrid Classification Scheme ", Computer Methods and Programs in Biomedicine , Elsevier, Vol. 173, pp: 53-65, 2019. (*corresponding author) (IF-5.42) https://www.sciencedirect.com/science/article/pii/S0169260718302980

29. T Siddharth, RK Tripathy*, RB Pachori, "Discrimination of Focal and Non-focal Seizures from EEG Signals using Sliding Mode Singular Spectrum Analysis ", IEEE Sensors Journal, Vol. 19 (24), pp: 12286 - 12296, 2019. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/8826440

28. RK Tripathy*, Abhijeet Bhatacharyya, RB Pachori, "Localization of Myocardial Infarction from Multi-Lead ECG Signals using Multiscale Analysis and Convolutional Neural Network ", IEEE Sensors Journal, Vol. 19 (23), pp: 11437 - 11448 , 2019. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/8801852

27. Pranjali Gajbhiye, RK Tripathy*, Abhijeet Bhatacharyya, RB Pachori, "Novel Approaches for the Removal of Motion Artifact from EEG recordings", IEEE Sensors Journal, Vol. 19 (22), pp: 10600 - 10608 , 2019. (IF-3.30) (*corresponding author) https://ieeexplore.ieee.org/document/8784397

26. RK Tripathy*, Abhijeet Bhattacharyya, RB Pachori, "A Novel Approach for Detection of Myocardial Infarction from ECG Signals of Multiple Electrodes", IEEE Sensors Journal, Vol. 19 (12), pp: 4509 - 4517, 2019. (*corresponding author) (IF-3.30) https://ieeexplore.ieee.org/document/8630000

25. MRA Paternina, RK Tripathy, AZ Mendez, D Dotta, "Identification of Electromechnical Modes using Variational Mode Decomposition", Electric Power System Research (EPSR), Elsevier, 2019. (SCI, Scopus) Link: https://www.sciencedirect.com/science/article/pii/S0378779618303328?dgcid=rss_sd_all (Q2 rated, IF-3.21)

24. HP Tripathy, Priyabrata Pattanaik, DK Mishra, SK Kamilla, RK Tripathy, "A Model-based Approach to Validate the Aluminium Nitride Material based Ultrasonic MEMS Transceiver for Temperature Sensing", IET Micro and Nano Letters, Vol. 14 (3), pp. 280 – 285, 2019. (SCI, Scopus)Link: http://digital-library.theiet.org/content/journals/10.1049/mnl.2018.5266 (Q4 rated, IF-0.975)

23. Samit Kumar Ghosh, RK Tripathy*, R N Ponnalagu, RB Pachori, "Automated Detection of Heart Valve Disorders from PCG Signal using Time-Frequency Magnitude and Phase Features ", IEEE Sensors Letters, Vol. 3 (12), Dec, 2019. (*corresponding author) https://ieeexplore.ieee.org/document/8883037

Year 2018

22. R. K. Tripathy, A. Z. mendez, J. A. de la O Serna, MRA Paternina, J. G. Arrieta, G. R. Naik, "Detection of Life Threatening Ventricular Arrhythmia using Digital Taylor Fourier Transform", Frontiers in Physiology, 2018. (SCI-E, Scopus) Link: https://www.frontiersin.org/articles/10.3389/fphys.2018.00722/full (JCR Q1 rated, IF-3.367)

21. Daniel Guillen, Mario. R. Arrieta Paternina, Jose Ortiz-Bejar, R. K. Tripathy, Alejandro Zamora, Ruben Tapia-Olvera, Eric S. Tellez, "Fault detection and classification in transmission lines based on a power spectral density index", IET Generation, Transmission and Distribution, 2018 . (SCI, SCI-E, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.5062 (IF-3.22)

20. R. K. Tripathy*, U. R. Acharya, "Use of features from RR-time series and EEG signals for Automated Classification of Sleep Stages in Deep Neural Network Framework", Biocybernetics and Biomedical Engineering, Elsevier, 2018. (*corresponding author) Link: https://www.sciencedirect.com/science/article/pii/S0208521618300949 (IF-4.31)

19. H. P. Tripathy, D. Bej, P. Pattanaik, D.P Mishra, S. K. Kamilla, R. K. Tripathy, "Measurement of Zone Temperature Profile of a Resistive Heating Furnace Through RVM Model", IEEE Sensors Journal, 18(11), pp. 4429 - 4435, 2018. Link: https://ieeexplore.ieee.org/document/8337727/ (IF-3.30)

18. R. K. Tripathy*, "Application of intrinsic band function technique for automated detection of sleep apnea using HRV and EDR signals", Biocybernetics and Biomedical Engineering, Elsevier, 38(1), pp. 136-144, 2018. (*corresponding author) Link: https://www.sciencedirect.com/science/article/pii/S0208521617303133 (IF-4.31)

17. A. Chetan, R. K. Tripathy*, S. Dandapat, "A Diagnostic System for Detection of Atrial and Ventricular Arrhythmia Episodes from Electrocardiogram", Journal of Medical and Biological Engineering, Springer, 38(2), pp. 304-315, 2018. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007/s40846-017-0294-5 (SJR Q4 rated, IF-1.55)

16. LM Satapathy, RK Tripathy, P Das, "A Combination of Variational Mode Decomposition and Histogram Equalization for Image Enhancement ", National Academy Science Letters, Springer, 2018. (SJR Q4 rated, IF-0.416)Link: http://link-springer-com-443.webvpn.jxutcm.edu.cn/article/10.1007%2Fs40009-018-0742-y

15. S. Bagha, R.K. Tripathy, P. Nanda, C. Preetam, D. P. Das, "Understanding Perception of Active Noise Control System through Multichannel EEG Analysis", IET Healthcare Technology Letters, 2018 (Accepted) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2017.0016 (SNIP-0.85)

Year 2017

14. R. K. Tripathy*, S. Dandapat, "Detection of Myocardial Infarction from Vectorcardiogram using Relevance Vector Machine", Signal, Image and Video Processing, Springer, 2017. (*corresponding author) (SCI-E, Scopus) Link: https://link.springer.com/article/10.1007/s11760-017-1068-9 (IF-2.15)

13. R. K. Tripathy*, Mario R. A. Paternina, Juan J. Arrieta, P. Pattnaik, "Detection of Atrial Fibrillation using Two-stage VMD and Atrial Fibrillation Diagnosis Index", Journal of Mechanics in medicine and biology, World Scientific, 17(8), 1-20, 2017. (*corresponding author) (9IF=0.859) Link: https://www.worldscientific.com/doi/abs/10.1142/S0219519417400449 (IF-0.89)

12. R. K. Tripathy*, Mario R. A. Paternina, P. Pattnaik, "A new method for detection of diabetes from heart rate signal", Journal of Mechanics in medicine and biology, World Scientific, 17(7), 1-12, 2017. (*corresponding author) (9 IF=0.89) Link: https://www.worldscientific.com/doi/abs/10.1142/S0219519417400012

11. H. P. Tripathy, P. Pattanaik, S. K. Kamilla, R. K. Tripathy*, "A Simulation Approach to Study the Effect of Ultrasonic MEMS-based Receiver for Blood Glucose Sensing Applications", IEEE Sensors Letters, 1(5), 2017. (*corresponding author) Link: https://ieeexplore.ieee.org/document/8003313/

10. R. K. Tripathy*, S. Dandapat, "Automated Detection of Heart Ailments from 12-lead ECG using Complex Wavelet Subband Bispectrum Features", IET Healthcare Technology Letters, 4(2), 57-63, 2017. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2016.0089 (SNIP-0.85)

9. R. K. Tripathy*, S. Deb, S. Dandapat, "Analysis of Physiological Signal using State Space Correlation Entropy", IET Healthcare Technology Letters, 4(1), 30-33, 2017. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2016.0065 (SNIP-0.85): code available at github.com/tripathy12345/SSCE_measure

Year 2016

8. R. K. Tripathy*, S. Dandapat, "Detection of Cardiac Abnormalities from Multilead ECG using Multiscale Phase Alternation Features", Journal of Medical Systems, Springer, 40(6):1-9, 2016. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007%2Fs10916-016-0505-6 (IF-4.46)

7. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "Detection of Shockable Ventricular Arrhythmia using Variational mode decomposition", Journal of Medical Systems, Springer, 40(4):1-13, 2016. (SCI-E, Scopus) (*corresponding author) Link: https://link.springer.com/article/10.1007/s10916-016-0441-5 (IF-4.46)

6. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "Diagnostic measure to quantify the loss of Clinical Components in Multilead Electrocardiogram", IET Healthcare Technology Letters, 3(1): 1-6, 2016. (ESCI, Scopus) (*corresponding author) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2015.0047 (SNIP-0.85)

Year 2015

5. L. N. Sharma, R. K. Tripathy, S. Dandapat, "Multiscale energy and eigenspace approach to detection and localization of myocardial infarction", IEEE Transactions on Biomedical Engineering, 62(7):1827-1837, 2015. (IF-4.56) Link: https://ieeexplore.ieee.org/document/7047810/ (IF-4.49)

Year 2014

4. R. K. Tripathy, S. Mahanta, and S. Paul, "Artificial intelligence-based classification of breast cancer using cellular images", RSC Advances, Royal Society (UK), 4(18), 9349-9355, 2014. (SCI-E, Scopus) Link: http://pubs.rsc.org/en/content/articlelanding/2014/ra/c3ra47489e#!divAbstract (IF-3.04)

3. R. K. Tripathy*, L. N. Sharma, S. Dandapat, "A New way of Quantifying Diagnostic Information from Multilead Electrocardiogram for Cardiac Disease Classification", IET Healthcare Technology Letters, 1(4): 98-103, 2014. (*corresponding author) (ESCI, Scopus) Link: http://digital-library.theiet.org/content/journals/10.1049/htl.2014.0080 (SNIP-0.85)

2. D kumar, R. K. Tripathy, A. Acharya, "Least square support vector machine based multiclass classification of EEG signals", WSEAS Transactions on Signal Processing, Volume 10, Issue 1, Pages 86-94, 2014. (Scopus) https://www.scopus.com/record/display.uri?eid=2-s2.0-84896943041&origin=resultslist&sort=plf-f&src=s&sid=328fb23d0358fa9237f2cd07ed608149&sot=autdocs&sdt=autdocs&sl=18&s=AU-ID%2856035676800%29&relpos=30&citeCnt=5&searchTerm=

Year 2013

1. S. Behera, R. K. Tripathy, and S. Mohanty. "Least Square Support Vector Machine Modeling of Breakdown Voltage of Solid Insulating Materials in the Presence of Voids", Journal of The Institution of Engineers, Springer, 94(1), 21-27, 2013. (Scopus) Link: https://link.springer.com/article/10.1007/s40031-013-0039-y

Conference Papers

6. Alejandro Zamora-Mendez, Daniel Dotta, Joe H. Chow, R. K. Tripathy, Mario R. Arrieta Paternina, "Data-Driven Modal Features Extraction Through the Variational Mode Decomposition Method ", IEEE PES INNOVATIVE SMART GRID TECHNOLOGY CONFERENCE - LATIN AMERICA, 2019. Link: https://ieeexplore.ieee.org/document/8895351

5. M.R.A. Paternina, Daniel Guillen, R. K. Tripathy, A. Zamora, J.C. Silva, J. C. Rosas-Caro, "Phasor, Frequency and ROCOF Measurements in Microgrids: A practical approach", IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017), Ixtapa, Mexico, 2017. Link: https://ieeexplore.ieee.org/document/8261690/

4. J. M. Ramirez, M.R.A. Paternina, A.Z. Mendez, J.R. Caro, P.G. Vite, R. K. Tripathy, D. Dotta, R.A.A Lopez, "A General Framework for Micro-Grids", IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC 2017), Ixtapa, Mexico, 2017. (Special Session Organizer)

3. R. K. Tripathy, S. Dandapat, "Multiresolution Inter-sample and Inter-lead Eigen Error Features for Detection of Cardiac Ailments", Twenty-Second National Conference on Communications (NCC), IIT Guwahati, 2016. Link: https://ieeexplore.ieee.org/abstract/document/7561157/

2. A. Chetan, R. K. Tripathy, S. Dandapat, "Classification of Cardiac Arrhythmia from Multilead ECG using Multiscale Non-linear analysis", IEEE Conference on Electrical, Computer and Electronics, IIIT Allahabad, 2015. Link: https://ieeexplore.ieee.org/abstract/document/7456698/

1. R. K. Tripathy, L. N. Sharma, S. Dandapat, "Detection of Cardiac Ailments from multilead ECG using Diagnostic Eigen Error Features", IEEE Conference on Power, Communication and Information Technology, Bhubaneswar, 2015. Link: https://ieeexplore.ieee.org/document/7438157/

Book Chapters

1. SK Ghosh, RN Ponnalagu, RK Tripathy, "A Study on Time-Frequency analysis of Phonocardiogram Signals", Microelectronics and Signal Processing, CRC Press , Taylor and Francis, 2021.

2. SK Ghosh, RN Ponnalagu, RK Tripathy, "Heart Sound Data Acquisition and Preprocessing Techniques A Review ", Advancement of Artificial Intelligence in Healthcare Engineering , IGI Global, doi: 10.4018/978-1-7998-2120-5 , Feb, 2020. https://www.igi-global.com/book/advancement-artificial-intelligence-healthcare-engineering/235693

3. S. Dandapat, L. N. Sharma, R. K. Tripathy, "Quantification of diagnostic information from electrocardiogram signal: A review", In Advances in communication and computing, Lecture notes on Electrical Engineering, Springer, pp. 17-39, 2015. Link: https://link.springer.com/chapter/10.1007/978-81-322-2464-8_2

4. R. K. Tripathy, S. Dandapat, "Quantifying Clinical Information in MECG Using Sample and Channel Convolution Matrices", In Advances in communication and computing, Lecture notes on Electrical Engineering, Springer, pp. 73-80, 2015. Link: https://link.springer.com/chapter/10.1007/978-81-322-2464-8_5