The paper addresses the problem of estimating the parameters of chirp signals embedded in Gaussian noise. We consider an estimation method based on an approximate linear state space representation of the polynomial ...

Instantaneous frequency (IF) is a very important parameter in a large number of applications. Generally, the IF is a non-linear function of time. For such cases the analysis of time-frequency content provides an efficient ...

A novel diffusion filter for low-level image processing is proposed. Analyzing the drawbacks of Gaussian convolution based regularization of partial derivatives equations, we propose an alternate method that employs ...