Ankur Saxena

Electrical and Computer Engineering Department

University of California-Santa Barbara

ankur     at      ece.ucsb.edu

CV  (pdf)

Intro                     Research                   Publications

Intro

I am a Post-Doctoral scholar in the ECE department at the University of California-Santa Barbara (UCSB). I work with Prof  Kenneth Rose in the Signal Compression Laboratory. I have recently completed my PhD in December 2008 from the ECE department, UCSB.

Earlier, I did my B.Tech from IIT-Delhi  in 2003. During my PhD, I interned at NTT Docomo Labs, Palo Alto while I interned at Fraunhofer Labs, Erlangen, Germany in my undergraduate days.

Research

My research interests are communication and signal processing. Currently, I am working in the areas of video and image coding. I am investigating various error resilience algorithms in packet-based networks for live video networking and multi-cast applications, and new transforms for video and image compression.

My PhD thesis was on 'Distributed coding of spatio-temporally correlated sources' (Defense slides). It focuses on solving the following three major problems in distributed coding (more details about the problems can be found here):

• Quantizer design algorithms for distributed compression (Papers C8, C9 and J2.)
• Distributed Predictive Coding for sources with memory ( Papers C4, C6, C7 and J3.)
• Scalable distributed source coding (Papers C1, C4, C5 and J1.)

Other research projects (details here):

• Event Based Compression for sensor networks (Paper C2.)
• Video compression (Paper C3.)

Course projects (details here).

Publications (reverse chronological):

Journal Articles

J1. On scalable distributed coding of correlated sources (pdf)

      A. Saxena and K. Rose submitted to IEEE Transactions on Signal Processing.

J2. Robust distributed source coder design by deterministic annealing (pdf)

      A. Saxena, J. Nayak and K. Rose,  provisionally accepted in IEEE Transactions on Signal Processing

J3. Distributed predictive coding for spatio- temporally correlated sources (pdf)

      A. Saxena and K. Rose, accepted in IEEE Transactions on Signal Processing

Manuscripts in Preparation

M1. Optimal mode switching for packet loss resilience in multi-cast video coding

        A. Saxena and K.Rose

M2. A new sine transform for image and intra video coding

        J. Han, A. Saxena and K. Rose

Conference Papers

2009

C1. Scalable distributed source coding (pdf)

       A. Saxena and K. Rose, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

       (Best Student Paper Finalist, Top 1%) 

C2. Optimization of correlated source coding for event-based compression in sensor networks (pdf)

        J. Singh, A. Saxena, K. Rose and U. Madhow, IEEE  Data Compression Conference (DCC).

2008

C3. On optimal royalty costs for video compression (pdf)

       A. Saxena, O. Guleryuz and R. Civanlar, IEEE International Conference on Image Processing (ICIP)
C4. On distributed quantization in scalable and predictive coding (pdf)

       A. Saxena and K. Rose, Sensor, Signal and Information Processing (SENSIP) (Invited Paper)

C5. Distributed multi-stage coding of correlated sources (pdf)

       A. Saxena and K. Rose,  IEEE Data Compression Conference (DCC).

2007
C6. Challenges and recent advances in distributed predictive coding (pdf)

       A. Saxena and K. Rose, IEEE Information Theory Workshop (ITW), (Invited Paper)
C7. Distributed predictive coding for spatio- temporally correlated sources (pdf)

       A. Saxena and K. Rose, IEEE International Symposium on Information Theory (ISIT).

2006
C8. A global approach to joint quantizer design for distributed coding of correlated sources (pdf)

       A. Saxena, J. Nayak and K. Rose, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
C9. On efficient quantizer design for robust distributed source coding (pdf)

      A. Saxena, J. Nayak and K. Rose, IEEE Data Compression Conference (DCC).