10 accepted papers
The paper considers linear state space models with non-Gaussian inputs and/or constraints. As shown previously, NUP representations (normal with unknown parameters) allow to compute MAP estimates in such models by iterating Kalman smoothing recursions. In this paper, we propose to compute such MAP e…
The paper proposes a new method to determine a binary control signal for an analog linear system such that the state, or some output, of the system follows a given target trajectory. The method can also be used for digital-to-analog conversion.The heart of the proposed method is a new binary-enforci…
Reliable real-time estimation of the interaural time delay of a sound source is difficult in the presence of noise and reverberation. However, the psychoacoustical precedence effect suggests that accurate estimation is possible by concentrating on the first-arriving sound. This paper introduces a no…
The paper derives an exact discrete-time state space realization of the popular gammatone filter. No such realization appears to be available in the literature. The proposed realization is computationally attractive: a gammatone filter with exponent N requires less than 6N multiplications and additi…
Most of the algorithms for tomographic reconstruction face the same problem: high computational complexity. In order to tackle this problem, this paper proposes a general multi-resolution approach that enables a flexible choice of reconstruction focus and thus saves computational power in reconstruc…
The paper considers the problem of joint system identification and input signal estimation of an unknown linear system from noisy observations of the output signal. The input signal is assumed to be sparse, and each individual input pulse may affect the system in its own (and unknown) way. Based on…
Cell depolarization runs essentially in a uniform motion along the muscular tissue, which creates transient electrical potential differences measurable by nearby electrodes. Inferring the depolarization speed and direction from measurements is of great interest for physicians. In cardiology, this is…
The analysis of wave and diffusion fields is a task central to a myriad of applications. Wave fields are encountered in acoustic, radar, and geophysics to name a few. Diffusion fields are found, for example, in physics, chemistry, and biology.
To respond to reverberation effectively, modern speech processing tasks like signal enhancement in digital hearing aids or distant-talking speech recognition often require precise knowledge of the acoustic situation. A common measure is the (frequency-dependent) reverberation time T <sub xmlns:mml="…
Detecting and inferring the trajectory of a moving magnet from magnetic field measurements is a challenge due to a wide range of time scales and amplitudes of the recorded signals and limited computational power of devices embedding a magnetometer. In this paper, we model the magnetic field measurem…