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Advances in Machine Learning and Signal Processing

Proceedings of MALSIP 2015

  • Ping Jack Soh
  • Wai Lok Woo
  • Hamzah Asyrani Sulaiman
  • Mohd Azlishah Othman
  • Mohd Shakir Saat

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 387)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Weng Kin Lai, Beng Ghee Tan, Ming Siong Soo, Imran Khan
    Pages 1-12
  3. Baidaa Hamza Khudayer, Mohammad M. Kadhum, Tat-Chee Wan
    Pages 13-24
  4. Mazlina Mamat, Rosalyn R. Porle, Norfarariyanti Parimon, Md. Nazrul Islam
    Pages 25-34
  5. Wan Aezwani Bt Wan Abu Bakar, Zailani B. Abdullah, Md. Yazid B. Md Saman, Masita@Masila Bt Abd Jalil, Mustafa B. Man, Tutut Herawan et al.
    Pages 35-46
  6. Omer Adam, Zailani Abdullah, Amir Ngah, Kasypi Mokhtar, Wan Muhamad Amir Wan Ahmad, Tutut Herawan et al.
    Pages 81-92
  7. Wan Nural Jawahir Hj Wan Yussof, Muhammad Suzuri Hitam, Ezmahamrul Afreen Awalludin, Zainudin Bachok
    Pages 93-104
  8. Fayad Mohammed Ghawbar, Mustafa Sami, Nor Shahida Mohd Shah, Yasin Yousif
    Pages 117-128
  9. Firas Najjar, Mohammad M. Kadhum, Homam El-Taj
    Pages 129-139
  10. Md. Moinul Islam, Mohammad Tariqul Islam, Mohammad Rashed Iqbal Faruque
    Pages 155-162
  11. Jun Ming Koay, Yoong Choon Chang, Shahirina Mohd Tahir, Sankaraiah Sreeramula
    Pages 163-173
  12. Nurlaila Rosli, Nordiana Rajaee, David Bong
    Pages 175-185
  13. Saad Bin Ahmed, Saeeda Naz, Muhammad Imran Razzak, Rubiyah Yusof, Thomas M. Breuel
    Pages 201-211
  14. Abrar H. Abdul Nabi, Inad A. Aljarrah
    Pages 213-222
  15. Chukwuemena Cyprian Amadi, Bukhari Che Ujang, Fazirulhisyam Bin Hashim
    Pages 223-235
  16. Najidah Hambali, Noor Izzati Abd Halin, Zunairah Haji Murat, Nur Idora Abdul Razak
    Pages 237-246
  17. Vladislav Grozin, Kseniya Buraya, Natalia Gusarova
    Pages 269-279
  18. Satish Mohanty, Karunesh Kumar Gupta, Kota Solomon Raju
    Pages 281-292
  19. Tahir Mehmod, Helmi B. Md Rais
    Pages 305-312

About these proceedings

Introduction

This book presents important research findings and recent innovations in the field of machine learning and signal processing. A wide range of topics relating to machine learning and signal processing techniques and their applications are addressed in order to provide both researchers and practitioners with a valuable resource documenting the latest advances and trends. The book comprises a careful selection of the papers submitted to the 2015 International Conference on Machine Learning and Signal Processing (MALSIP 2015), which was held on 15–17 December 2015 in Ho Chi Minh City, Vietnam with the aim of offering researchers, academicians, and practitioners an ideal opportunity to disseminate their findings and achievements. All of the included contributions were chosen by expert peer reviewers from across the world on the basis of their interest to the community. In addition to presenting the latest in design, development, and research, the book provides access to numerous new algorithms for machine learning and signal processing for engineering problems. 

Keywords

Radar Signal Processing Multimedia Signal Processing Speech Processing Signal Processing for Communications DSP architectures and Implementation Image Processing Statistical Signal Processing Machine Learning Algorithms Neural Networks

Editors and affiliations

  • Ping Jack Soh
    • 1
  • Wai Lok Woo
    • 2
  • Hamzah Asyrani Sulaiman
    • 3
  • Mohd Azlishah Othman
    • 4
  • Mohd Shakir Saat
    • 5
  1. 1.University Teknikal Malaysia MelakaDurian Tunggal, MelakaMalaysia
  2. 2.Singapore Campus, #05-01 SIT BuildingNewcastle UniversitySingaporeSingapore
  3. 3.Universiti Teknikal Malaysia MelakaMelakaMalaysia
  4. 4.Universiti Teknikal Malaysia MelakaMelakaMalaysia
  5. 5.University Teknikal Malaysia MelakaDurian Tunggal, MelakaMalaysia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-32213-1
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-32212-4
  • Online ISBN 978-3-319-32213-1
  • Series Print ISSN 1876-1100
  • Series Online ISSN 1876-1119
  • Buy this book on publisher's site
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