Acoustic Signal Processing

Acoustic Applications of Digital Signal Processing
Típus: 
OTKA
Kezdés éve: 
2001
Befejezés éve: 
2003

Tanszéki projektvezető

A munkatárs fényképe
habilitated associate professor
Szoba: IE416
Tel.:
+36 1 463-4114
Email: sujbert (*) mit * bme * hu

Tanszéki résztvevők

A munkatárs fényképe
associate professor
Szoba: IE330
Tel.:
+36 1 463-3587
Email: bank (*) mit * bme * hu
A munkatárs fényképe
habilitated associate professor
Szoba: IE416
Tel.:
+36 1 463-4114
Email: sujbert (*) mit * bme * hu

Contact information

Koordinátor: 
BME MIT
Felelős: 
László Sujbert

Bemutatás

The aim of the project is to develop new algorithms and methods in the field of active noise control and digital musical sound synthesis. Active noise control. Based on the previous results, the research objectives are the following: A direct aim is to develop algorithm for suppression of stochastic disturbances, which algorithm is better than the usual methods concerning mainly its convergence speed and computational demand. A possible condition for robustness of noise control systems is the on-line adaptation of the model of the secondary path. Up to now there is no generally accepted method to solve this problem. Our research aims this problem, as well. Digital modeling of acoustic systems is also an aim of the project. Digital musical sound synthesis. The research objectives are the following: A direct aim is to describe the relation between the well-known digital waveguide model and the signal model (resonator) based approach. The digital waveguide model contains a filter, the specification of which is complex, i.e. both the amplitude and the phase requirements should be satisfied. The aim is to develop effective filter design methods. The excitation of the musical instrument requires a nonlinear model. Since each instrument requires its own excitation model, new results can be shown in this field, as well. Digital modeling of the mechanical system of the instrument should accomplish the synthesis. The project is strongly connected to the other scientific research projects of the department, first of all in the field of adaptive signal processing, frequency domain identification and inverse filtering. The basis for experimental research is the signal processing laboratory of the department.

© 2010-2019 BME MIT