2 citations · 5 across the 8 of their papers we have counts for
11 papers
A Weighted Generalized Coherence Approach for Sensing Matrix Design
Ameya Anjarlekar, Ajit Rajwade
As compared to using randomly generated sensing matrices, optimizing the sensing matrix w.r.t. a carefully designed criterion is known to lead to better quality signal recovery giv…
Analyzing Cross Validation In Compressed Sensing With Mixed Gaussian And Impulse Measurement Noise With L1 Errors
Chinmay Gurjarpadhye, Shubhang Bhatnagar, Ajit Rajwade
Compressed sensing (CS) involves sampling signals at rates less than their Nyquist rates and attempting to reconstruct them after sample acquisition. Most such algorithms have para…
Reconstruction of Sparse Signals under Gaussian Noise and Saturation
Shuvayan Banerjee, Radhe Srivastava, Ajit Rajwade
Most compressed sensing algorithms do not account for the effect of saturation in noisy compressed measurements, though saturation is an important consequence of the limited dynami…
Low radiation tomographic reconstruction with and without template information
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
Low-dose tomography is highly preferred in medical procedures for its reduced radiation risk when compared to standard-dose Computed Tomography (CT). However, the lower the intensi…
Tomographic reconstruction to detect evolving structures
Preeti Gopal, Sharat Chandran, Imants Svalbe +1
The need for tomographic reconstruction from sparse measurements arises when the measurement process is potentially harmful, needs to be rapid, or is uneconomical. In such cases, i…
Restoration of Non-rigidly Distorted Underwater Images using a Combination of Compressive Sensing and Local Polynomial Image Representations
Jerin Geo James, Pranay Agrawal, Ajit Rajwade
Images of static scenes submerged beneath a wavy water surface exhibit severe non-rigid distortions. The physics of water flow suggests that water surfaces possess spatio-temporal…