Bio


Prof. Mujica has a broad technology background with expertise in system engineering, signal processing, hardware architectures and software engineering. He has an excellent grasp of implementation tradeoffs between hardware and software; analog and digital circuits; and programmable, reconfigurable and hardcoded architectures. Prof. Mujica's research focuses on efficient implementation of signal processing systems. He has been granted more than 20 US patents.

Academic Appointments


Boards, Advisory Committees, Professional Organizations


  • Advisory Board Member, School of Electrical and Computer Engineering, Georgia Institute of Technology (2013 - Present)

Professional Education


  • Ph.D., Georgia Institute of Technology, Electrical Engineering (1999)
  • M.S., Universidad Simón Bolívar, Electronic Engineering (1995)
  • B.S., Universidad Simón Bolívar, Electronic Engineering (1993)

Patents


  • F. A. Mujica, and L. Ding. "United States Patent 8,670,501 Digital pre-distortion of non-linear systems with reduced bandwidth feedback", Mar 11, 2014
  • L. Ding, Z. Yang, F. A. Mujica, and R. Sperlich. "United States Patent 8,311,083 Joint transmit and receive I/Q imbalance compensation", Nov 13, 2013
  • F. A. Mujica, H. Gandhi, and K. Shi. "United States Patent 8,437,424 Robust transmit/feedback alignment", May 7, 2013
  • P. Satarzadeh, M. Corsi, V. Wang, A. J. Redfern. "United States Patent 8,390,490 Compressive sensing analog-to-digital converters", Mar 5, 2013
  • Z. Yang, F. A. Mujica, G. Copeland, and M. Ali. "United States Patent 8,351,542 Method and system for crest factor reduction", Jan 8, 2013
  • F. A. Mujica, H. P. Ghandi, L. Ding, M. Borkar, Z. Yang, R. Sperlich, L. M. Jorgensen, and W. L. Abbott. "United States Patent 8,306,149 Systems and methods of power amplifier digital pre-distortion", Nov 6, 2012
  • F. A. Mujica, et al,. "United States Patent 8,306,150 System and method for estimating a transmit channel response and/or a feedback channel response using frequency shifting", Nov 6, 2012
  • M. A. Borkar and F. A. Mujica. "United States Patent 8,218,676 System and method for training pre-inverse of nonlinear system", Jul 10, 2012
  • C. K. Sestok and F. A. Mujica. "United States Patent 8,094,050 Bandwidth mismatch estimation in time-interleaved analog-to-digital converters", Jan 12, 2012
  • C. K. Sestok and F. A. Mujica. "United States Patent 7916,051 Bandwidth Mismatch Estimation for Time Interleaved ADCs", Mar 29, 2011
  • F. A. Mujica and C. K. Sestok. "United States Patent 7,916,050 Time-Interleaved-Dual Channel ADC with Mismatch Compensation", Mar 21, 2011
  • M. Borkar and F. A. Mujica. "United States Patent 7,769,098 Low complexity precoding matrix selection", Aug 3, 2010
  • M. Borkar and F. A. Mujica. "United States Patent 7,751,494 Reduced search space technique for codeword selection", Jul 6, 2010
  • M. Borkar, F. A. Mujica, and G. Copeland. "United States Patent 7,733,177 Method and System for Calculating the Pre-Inverse of a Nonlinear System", Jun 8, 2010
  • U. Dasgupta, F. A. Mujica, and M. Ali. "United States Patent 7,352,823 Algorithm for computing distances to a received point in an ADSL system", Apr 1, 2008
  • A. J. Redfern, G. Ginis, and F. A. Mujica and K. S. Jacobsen. "United States Patent 7,342,937 Spectrally flexible band plans with reduced filtering requirements", Mar 11, 2008
  • S. K. Oswal, P. Easwaran, A. Raychowdhury, and F. A. Mujica. "United States Patent 7,298,838 Adaptive cancellation network system and method for digital subscriber line", Nov 20, 2007
  • F. A. Mujica, et al. "United States Patent 7,236,532 Method of initializing a communication system with different bandwidth receivers and transmitters", Jun 26, 2007
  • F. A. Mujica. "United States Patent 7,221,754 Switchable hybrid design for asymmetric digital subscriber line", May 22, 2007
  • F. A. Mujica, A. J. Redfern. "United States Patent 7,130,345 Configurable equalization apparatus for multicarrier communications", Oct 31, 2006
  • F. A. Mujica, U. Dasgupta, M. Sadafale, S. Oswal, and P. Easwaran. "United States Patent 7,123,671 Automatic gain control method for digital subscriber line modems", Oct 17, 2006
  • F. A. Mujica, U. Dasgupta, M. Sadafale, S. Oswal, and P. Easwaran. "United States Patent 7,023,929 Digital pre-compensation filter for DMT type transmitter", Apr 4, 2006
  • F. A. Mujica, U. Dasgupta, S. K. Oswal, M. Ali, P. K. Servepalli, P. Easwaran, and D. N. Basu. "United States Patent 6,983,032 Digital timing recovery method for communication receivers", Jan 3, 2006
  • F. A. Mujica, P. Easwaran, and S. K. Oswal. "United StatesHardware assisted automatic gain control for digital subscriber line modems", Oct 11, 2002

2016-17 Courses


All Publications


  • An Empirical Evaluation of Deep Learning on Highway Driving arXiv.org Huval, B., Wang, T., Tandon, S., Kiske, J., Song, W., Pazhayampallil, J., Andriluka, M., Rajpurkar, P., Migimatsu, T., Cheng-Yue, R., Mujica, F., Coates, A., Ng, A. 2015
  • Spatiotemporal wavelets: A group-theoretic construction for motion estimation and tracking SIAM JOURNAL ON APPLIED MATHEMATICS Leduc, J. P., Mujica, F., Murenzi, R., Smith, M. J. 2000; 61 (2): 596-632
  • A new motion parameter estimation algorithm based on the continuous wavelet transform IEEE TRANSACTIONS ON IMAGE PROCESSING Mujica, F. A., Leduc, J. P., Murenzi, R., Smith, M. J. 2000; 9 (5): 873-888

    Abstract

    This paper presents a novel motion parameter estimation (ME) algorithm based on the spatio-temporal continuous wavelet transform (CWT). The multidimensional nature of the CWT allows for the definition of a multitude of energy densities by integrating over a subset of the CWT parameter space. Three energy densities are used to estimate motion parameters by sequentially optimizing a state vector composed of velocity, position, and size parameters. This optimization is performed on a frame-by-frame basis allowing the algorithm to track moving objects. The ME algorithm is designed to address real world challenges encountered in the defense industry and traffic monitoring scenarios, such as attaining robust performance in noise and handling obscuration and crossing object trajectories.

    View details for Web of Science ID 000087096700012

    View details for PubMedID 18255458

  • Robust object tracking in compressed image sequences JOURNAL OF ELECTRONIC IMAGING Mujica, F., Murenzi, R., Smith, M. J., Leduc, J. P. 1998; 7 (4): 746-754