People Innovation Excellence

d. Endra, S.Kom, M.T.

CONCENTRATION CONTENT COORDINATOR

Email : endraoey@binus.edu

Research Interest:

  • Compressive Sensing.
  • Dictionary Learning for Sparse Representation.
  • Compression and Coding for Audio, Video & Multimedia.
  • Wavelets and Its Applications.
  • Digital Signal Processing Applications.
  • Nonlinear Fiber Optics (Soliton).

Specialty:

  • Matlab
  • Digital Signal Processing
  • Control system

Publications:

  • Face Verification by Using Sparse Representation Algorithm in Compressive Sensing, Internetworking Indonesia Journal, 7/No. 1 B, pp. 25-29, ISSN: 1942-9703/2015
  • Compressive Measurements with Optimized Projection Matrix, WIT Transactions on Information and Communication Technologies, 57/pp 177 – 184, ISSN: 1743- 3517/2014
  • Image Denoising by Enhancing K-SVD Algorithm, Internetworking Indonesia Journal, 5/No. 2 B, pp. 9-13, ISSN: 1942-9703/2013
  • K-Singular Value Decomposition (KSVD) – Equiangular Tight Frame (ETF) Method For Compressive Sensing Optimization, Advances in Information Technology and Applied Computing, 1/pp. 329 – 333, ISSN : 2251-3418/2012
  • Optimasi Penginderaan Kompresif, Jurnal Teknik Komputer, 20/No.1, ISSN : 0853-6732/2012
  • Implementation of Compressive Sensing in Embedded Hardware Device, The 14th International Conference on QiR (Quality in Research), 10 – 13 Agustus 2015, Lombok, Indonesia.
  • Tight Frames and Iterative Shrinkage Based Measurement Matrix Optimization for Compressive Sensing, 2014 International Conference on Environment Engineering and Computer Application (ICEECA2014), 25 – 26 Desember 2014, Hongkong.
  • Projection matrix design for compressive sensing, The 4th Makassar International Conference on Electrical Engineering and Informatics (MICEEI), 26 – 30 November 2014, Makassar, Indonesia.
  • Compressive Measurements with Optimized Projection Matrix, International Conference on Sport Science and Computer Science, 25 – 26 Desember 2013, Hongkong.
  • Compressive Sensing-Based Image Encryption With Optimized Sensing Matrix, The IEEE International Conference on Computational Intelligence and Cybernetics – CyberneticsCom, 3 – 5 December 2013, Yogyakarta, Indonesia.
  • K-Singular Value Decomposition (KSVD) – Equiangular Tight Frame (ETF) Method For Compressive Sensing Optimization, The 2012 International Conference of Information Science and Computer Applications (ICISCA 2012), 19 November 2012, Bali, Indonesia.
  • Joint optimization of measurement matrix and sparse dictionary in compressive sensing, 2012 International Conference on Computer and Communication Engineering (ICCCE), 3-5 July 2012, Kuala Lumpur, Malaysia.
  • KSVD – Gradient Descent Method For Compressive Sensing Optimization, 3rd International Conference on Soft Computing, Intelligent System and Information Technology, 24 – 25 May 2012, Bali, Indonesia.

 


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