72 citations · 135 across the 16 of their papers we have counts for
17 papers
Signal Reconstruction from Quantized Noisy Samples of the Discrete Fourier Transform
Mohak Goyal, Animesh Kumar
In this paper, we present two variations of an algorithm for signal reconstruction from one-bit or two-bit noisy observations of the discrete Fourier transform (DFT). The one-bit o…
Novel Near-Optimal Scalar Quantizers with Exponential Decay Rate and Global Convergence
Vijay Anavangot, Animesh Kumar
Many modern distributed real-time signal sensing/monitoring systems require quantization for efficient signal representation. These distributed sensors often have inherent computat…
On Distributed Nonlinear Signal Analytics : Bandwidth and Approximation Error Tradeoffs
Vijay Anavangot, Animesh Kumar
Analytics will be a part of the upcoming smart city and Internet of Things (IoT). The focus of this work is approximate distributed signal analytics. It is envisaged that distribut…
Mobile Sensing of Two-Dimensional Bandlimited Fields on Random Paths
Charvi Rastogi, Animesh Kumar
Mobile sensing has been recently proposed for sampling spatial fields, where mobile sensors record the field along various paths for reconstruction. Classical and contemporary samp…
On Bandlimited Spatiotemporal Field Sampling with Location and Time Unaware Mobile Sensors
Sudeep Salgia, Animesh Kumar
Sampling of a spatiotemporal field for environmental sensing is of interest. Traditionally, a few fixed stations or sampling locations aid in the reconstruction of the spatial fiel…
Spatial Field estimation from Samples taken at Unknown Locations generated by an Unknown Autoregressive Process
Sudeep Salgia, Animesh Kumar
Sampling of physical fields with mobile sensors is an upcoming field of interest. This offers greater advantages in terms of cost as often just a single sensor can be used for the…