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Geometric Calibration and Shape Refinement for 3D Reconstruction
This thesis is a contribution towards the methods of 3D reconstruction in computer vision.
Most of the 3D reconstruction methods are based on either the principle of triangulation or
the principle of photometry. In this ...
Speech and noise analysis using sparse representation and acoustic-phonetics knowledge
This thesis addresses different aspects of machine listening using two different approaches, namely (1) A
supervised and adaptive sparse representation based approach for identifying the type of background
noise and the ...
Fault Location in Double Wye Shunt Capacitor Banks
Shunt capacitor banks (SCBs) are usually used for providing reactive power support to power
systems. Reactive power support leads to power factor correction, voltage regulation and
reduction of network losses. Outage of ...
Speech task-specific representation learning using acoustic-articulatory data
Human speech production involves modulation of the air stream by the vocal tract shape determined by the articulatory configuration. Articulatory gestures are often used to represent the speech units. It has been shown ...
Fast total variation minimizing image restoration under mixed Poisson-Gaussian noise
Image acquisition in many biomedical imaging modalities is corrupted by Poisson noise followed by
additive Gaussian noise. Maximum Likelihood Estimation (MLE) based restoration methods that use
the exact Likelihood ...
Application of Semi Analytical Methods for Large Power System Simulations
Power system dynamics can be accurately modelled in time domain by using nonlinear differential and algebraic equations (DAEs). The challenge lies in solving the large number of nonlinear DAEs faster than real-time in order ...
Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ...
Development of Synchro-Phasor Algorithms on Parallella - A Credit Card Sized Super Computer
In recent years, usage of GPS time-stamped phasor magnitude and angle measure-
ments of voltage and current samples, called synchrophasors, is getting great atten-
tion for wide area monitoring, protection, and control ...
A Fast Constant-Time Approximation for Locally Adaptive Bilateral Filtering
Smoothing is a fundamental task in low-level image processing that is used to suppress irrelevant
details while preserving salient image structures. The simplest smoothing mechanism is
to average neighboring pixels using ...
Emulation of wind turbine and sensorless control of doubly-fed induction generator for wind energy application
Wind energy utilization has been growing at a rapid rate, fuelling research and development in wind turbine – generator systems. Doubly fed induction generator (DFIG) driven by a wind turbine is a commonly used wind energy ...