Albertus C. den Brinker

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Recommended by Henning Puder Recently, hearing aid systems where the left and right ear devices collaborate with one another have received much attention. Apart from supporting natural binaural hearing, such systems hold great potential for improving the intelligibility of speech in the presence of noise through beamforming algorithms. Binaural beamforming(More)
Kautz series allow orthogonal series expansion of finite-energy signals defined on a semi-infinite axis. The Kautz series consists of orthogonalized exponential functions or sequences. This series has as free parameters an ordered set of poles, each pole associated with an exponential function or sequence. For reasons of approximation and compact(More)
A method for real-time estimation of ARMA models from power spectral density functions is proposed. It is based upon the combination of LPC methods to estimate both numerator and denominator polynomial of the transfer function and an iterative scheme to attribute the appropriate parts of the power spectral density function to pole or zero modelling of the(More)
— We consider orthonormal expansions where the basis functions are governed by some free parameters. If the basis functions adhere to a certain differential or difference equation, then an expression can be given for a specific enforced convergence rate criterion as well as an upper bound for the quadratic truncation error. This expression is a function of(More)
This paper considers general, pure linear prediction schemes, where the prediction of the input signal is based on IIR-filtered versions of the one-sample-delayed input signal. Properties of these schemes are discussed, in particular, the whitening property and the realization and stability of the synthesis filter. In contrast to warped linear prediction,(More)
Dissertation for the degree of Doctor of Science in Technology to be presented with due permission for public examination and debate in Auditorium S4, ABSTRACT OF DOCTORAL DISSERTATION ¡ Author Name of the dissertation Date of manuscript Date of the dissertation Monograph Article dissertation (summary + original articles)
In this paper we address the problem of approximating functions on a semi-innite interval by truncated series of or-thonormal generalized Laguerre functions. The generalized Laguerre functions contain two parameters, namely a scale factor and an order of generalization. The rate of convergence of a generalized Laguerre series depends on the choice of these(More)