63 citations · 180 across the 13 of their papers we have counts for
5 papers · 1 filter
M-RWTL: Learning Signal-Matched Rational Wavelet Transform in Lifting Framework
Naushad Ansari, Anubha Gupta
Transform learning is being extensively applied in several applications because of its ability to adapt to a class of signals of interest. Often, a transform is learned using a lar…
Double Temporal Sparsity Based Accelerated Reconstruction in Compressed Sensing fMRI
Priya Aggarwal, Anubha Gupta
A number of reconstruction methods have been proposed recently for accelerated functional Magnetic Resonance Imaging (fMRI) data collection. However, existing methods suffer with t…
Sparse Impulse Noise Minimization in UWB Communication using Signal Characteristics
Sanjeev Sharma, Anubha Gupta, Vimal Bhatia
In many applications, ultra-wide band (UWB) system experiences impulse noise due to surrounding physical noise sources. Therefore, a conventional receiver (correlator or matched fi…
Statistical learning of rational wavelet transform for natural images
Naushad Ansari, Anubha Gupta
Motivated with the concept of transform learning and the utility of rational wavelet transform in audio and speech processing, this paper proposes Rational Wavelet Transform Learni…
Image Reconstruction using Matched Wavelet Estimated from Data Sensed Compressively using Partial Canonical Identity Matrix
Naushad Ansari, Anubha Gupta
This paper proposes a joint framework wherein lifting-based, separable, image-matched wavelets are estimated from compressively sensed (CS) images and used for the reconstruction o…