This paper proposes a new idea, shaping the control signal, and generalizes the time-delay-filter-based deadbeat control for processes with dead time to two-level control so that the controller saturation is avoided. The controller mimics experienced manual operations to provide a two-level control signal. At first, the controller outputs a value close to the maximal value and then the controll...

This paper deals with seismic signal processing. We propose a new algorithm which performs the dispersion filter estimation using a linear array of geophones. This estimation enables a robust characterization and extraction of the dispersive propagating waves from a seismic profile. The novelty of our method is the use of a simultaneous time delay and phase shift correction in order to estimate...

This paper introduces a new approximate solution of the optimal nonlinear filter suitable for nonlinear oceanic and atmospheric data assimilation problems. The method is based on a local linearization in a low-rank kernel representation of the state’s probability density function. In the resulting low-rank kernel particle Kalman (LRKPK) filter, the standard (weight type) particle filter correct...

--Signal processing, in general, has a rich history, and its importance is evident in diverse fields as biomedical engineering, acoustics, Sonar. The importance of the digital signal processing appears to be increasing with no visible sign of saturation. The impact of digital signal processing techniques will undoubtedly promote revolutionary advances in some fields of application. A notable ex...

For many digital signal processing applications, FIR filters are preferred over their IIR counterparts as the former can be designed with exactly linear phase and they are free of stability problems and limit cycle oscillations. The major drawback of FIR filters is that they require, especially in applications demanding narrow transition bands, considerably more arithmetic operations and hardwa...