Student Theses - Details

Investigations on Adaptive Filter Structures for Application in Adaptive Crosstalk Cancellation Systems

Betreuer:Tobias Kabzinski

Themengebiet: adaptive filters, signal processing, system identification

Kategorie: Masterarbeit (MA)

Status: Offene Arbeit

Tools: Matlab

Task description

When reproducing a binaural signal with headphones, the binaural signal for the left ear and the binaural signal for the right ear exclusively reaches the left or right ear, respectively. When reproducing using loudspeakers signal from the right speaker also reaches the left ear and vice versa. In this case, a crosstalk cancellation (CTC) is required in order to only feed  the desired signal to the respective ear. In an adaptive crosstalk cancellation system, the four transfer functions (cf. Figure), which depend on the listener and their position/orientation, are estimated using adaptive filters and microphones at the listener's ears.


The core research question of this thesis is: which adaptive filter structures are especially suitable for the time-variant identification (tracking) of the transfer functions. Adaptive filters have been a research topic for a long time and lots of applications exist, e.g., in the related field acoustic echo control. The multitude of filter variants spans time-domain and frequency-domain filters, blockwise and samplewise processing, with iterative or non-iterative solutions and parallel or serial filter structures - each with their advantages and disadvantages. In the course of this thesis, filter structrues and corresponding adaptation algorithms shall be investigated and developed further; especially those which are promising for the application in adaptive crosstalk cancellation systems. Startings points are typical filters, such as LMS (least mean square) filters, RLS (recursive least squares) filters, Wiener and Kalman filters.

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