Miscellaneous
Review Articles
S. V. Venkatakrishnan, Amir Ziabari, K. Aditya Mohan, Charles A. Bouman, “Algorithm- driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches”, IEEE Signal Processing Magazing, Special Issue: Signal Processing for Materials Imaging, Jan. 2022 (pdf)
Characterization using Lasers
D. E. Mittelberger, K. Nakamura, R. Lehe, A. J. Gonsalves, C. Benedetti, H.-S. Mao, J. Daniels, N. Dale, S. V. Venkatakrishnan, K. K. Swanson, E. Esarey, and W. P. Leemans, “Characterization of the Spectral Phase of an Intense Laser at Focus via Ionization Blueshift”, Journal of the Optical Soc. of America B, 2016 (link)
Accelerated MBIR
Junshi Liu, Swagath Venkataramani, S. V. Venkatakrishnan, Yun Pan, Charles A. Bouman and Anand Ragunathan, “EMBIRA: An Accelerator for Model-Based Iterative Reconstruction”, IEEE Transactions on Very Large Scale Integration Systems 2016 (pdf)
Logging While Drilling Imaging Magnetometer, Baker Hughes Inc., Houston, TX
Development of an algorithm for rapid computation and tracking of the magnetic orientation of a downhole LWD tool
Programmed algorithm using fixed point arithmetic (firmware) on a dsPIC
Designed calibration routines for conversion of raw voltage signal to magnetic field in Gauss/Tesla.
IS95 Software Defined Radio, Qualcomm Inc., Boulder, CO
Developed MATLAB code for extracting (tracking, I-Q channel demodulation) the information in various channels from a oversampled IS95 CDMA waveform
Wrote PERL scripts to extract information from the log files generated from the MATLAB code
Machine Learning based Speaker Biometrics, IISc, Bangalore, India
Advisor: T.V Sreenivas
Collaborator: Vikram Ramanarayanan
Redesigned existing hardware for acquiring speech signals from a telephone
Feature extraction using MFCC
Clustering using a Gaussian Mixture Model with parameter estimation using the Expectation Maximization algorithm
Experimented with different features (LPCC) and tested accuracy