New algorithms for identification of a balanced state space representation are proposed. They are based on a procedure for the estimation of impulse response and sequential zero i...
Ivan Markovsky, Jan C. Willems, Paolo Rapisarda, B...
We describe the use of the discrete wavelet transform (DWT) for non-parametric linear time-invariant system identification. Identification is achieved by using a test excitation t...
This paper describes a new kernel-based approach for linear system identification of stable systems. We model the impulse response as the realization of a Gaussian process whose s...
This paper presents a sound source (talker) localization method using only a single microphone, where a HMM (Hidden Markov Model) of clean speech is introduced to estimate the aco...
In this contribution various objective measures that can be used to evaluate speech dereverberation algorithms by means of listeningroom compensation (LRC) are compared to subject...
Stefan Goetze, Eugen Albertin, Markus Kallinger, A...
We propose a novel algorithm for sparse system identification in the frequency domain. Key to our result is the observation that the Fourier transform of the sparse impulse respo...
Full wave electromagnetic simulation requires numerically expensive methods such as FDTD. The computation time depends superlinearly on the number of unknowns in the simulation reg...
In this paper we consider the synthesis of a bandpass signal from complex-envelope samples using a polyphase conversion structure based on periodically nonuniform output samples. ...
The discrete multitone (DMT)transceivers have enjoyed great success in high speed data transmission. It is known that when the cyclicprefix is no shorterthan the channel impulse r...
Abstract— This paper propose a channel estimation technique for multiple-input multiple-output (MIMO) - orthogonal frequency division multiplexing (OFDM) / time division multiple...