3 citations · 3 across the 7 of their papers we have counts for
7 papers
On estimating parameters of a multi-component Chirp Model with equal chirp rates
Abhinek Shukla, Debasis Kundu, Amit Mitra +1
Multi-component chirp signal models with equal chirp rates appear in various radar applications, e.g., synthetic aperture radar, echo signal of a rapid mobile target, etc. Many sub…
Estimation methods for elementary chirp model parameters
Anjali Mittal, Rhythm Grover, Debasis Kundu +1
In this paper, we propose some estimation techniques to estimate the elementary chirp model parameters, which are encountered in sonar, radar, acoustics, and other areas. We derive…
A Computationally Efficient algorithm to estimate the Parameters of a Two-Dimensional Chirp Model with the product term
Abhinek Shukla, Rhythm Grover, Debasis Kundu +1
Chirp signal models and their generalizations have been used to model many natural and man-made phenomena in signal processing and time series literature. In recent times, several…
An efficient methodology to estimate the parameters of a two-dimensional chirp signal model
Rhythm Grover, Debasis Kundu, Amit Mitra
In various capacities of statistical signal processing two-dimensional (2-D) chirp models have been considered significantly, particularly in image processing to model gray-scal…
Asymptotic of Approximate Least Squares Estimators of Parameters Two-Dimensional Chirp Signal
Rhythm Grover, Debasis Kundu, Amit Mitra
In this paper, we address the problem of parameter estimation of a 2-D chirp model under the assumption that the errors are stationary. We extend the 2-D periodogram method for the…
Chirp-like model and its parameter estimation
Rhythm Grover, Debasis Kundu, Amit Mitra
We propose a chirp-like signal model as an alternative to a chirp model and a generalisation of the sinusoidal model, which is a fundamental model in the statistical signal process…
On approximate least squares estimators of parameters on one-dimensional chirp signal
Rhythm Grover, Debasis Kundu, Amit Mitra
Chirp signals are quite common in many natural and man-made systems like audio signals, sonar, radar etc. Estimation of the unknown parameters of a signal is a fundamental problem…