In this paper, we propose a class of nonlinear diffusion filtering based on Hammerstein function with the spline adaptive filter (HSAF) implemented by normalised version orthogonal gradient (NOGA) algorithm over distributed network. Diffusion adaptation approximates variable vector help network agents using joint optimisation sum cost function. A HSAF comprises memoryless during learning interp...

The motivation for adaptive filtering in subbands stems from two well-known problems in LMS-based fullband adaptive filtering. First, the convergence and tracking can be very slow if the input correlation matrix is ill conditioned such as that found in speech. Second, very high order adaptive filters are computationally expensive. Adaptive filtering in subbands has been proposed to overcome the...

This paper describes a method for noise removal from ultrasonic signals used in NDE (Non Destructive Evaluation) applications. The method used is FPGA based adaptive noise cancellation. Indeed adaptive filtering is one of the core technologies in digital signal processing. We can find numerous application areas in science as well as in industry. Adaptive filtering techniques are used in a wide ...