Person

Ivan Dokmanic

This person is no longer with EPFL

Related publications (40)

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Raking echoes in the time domain

Martin Vetterli, Ivan Dokmanic, Robin Scheibler

The geometry of room acoustics is such that the reverberant signal can be seen as the same waveform emitted from multiple locations. In analogy with the rake receiver from wireless communications, we propose several beamforming strategies that exploit, rat ...

IEEE2015

OMP with Unknown Filters for Multipath Channel Estimation

Martin Vetterli, Ivan Dokmanic

We study a modification of the orthogonal matching pursuit (OMP) for estimating sparse multipath channels. The reflectors that generate the multipath components are not ideal; rather, they act as filters, so that the returned pulses are reshaped and widene ...

2015

Relax and Unfold: Microphone Localization with Euclidean Distance Matrices

Martin Vetterli, Ivan Dokmanic, Juri Ranieri

Recent methods for localization of microphones in a microphone array exploit sound sources at a priori unknown locations. This is convenient for ad-hoc arrays, as it requires little additional infrastructure. We propose a flexible localization algorithm by ...

2015

Time-varying FRI Theory for Sound Source Localization

Ivan Dokmanic, Juri Ranieri, Helena Peic Tukuljac

In this report we present results of a Semester project in the Winter semester of 2015. The project focuses on exploration of FRI theory for 1D case and its generalization. This theory is further applied to sound source localization with extension to signa ...

2015

Euclidean Distance Matrices: Essential Theory, Algorithms and Applications

Martin Vetterli, Ivan Dokmanic, Juri Ranieri, Reza Parhizkar

Euclidean distance matrices (EDMs) are matrices of the squared distances between points. The definition is deceivingly simple; thanks to their many useful properties, they have found applications in psychometrics, crystallography, machine learning, wireles ...

2015

Source Localization and Tracking in Non-Convex Rooms

Martin Vetterli, Ivan Dokmanic, Orhan Öçal

We consider the estimation of the acoustic source position in a known room from recordings by a microphone array. We propose an algorithm that does not require the room to be convex, nor a line-of-sight path between the microphone array and the source to b ...

Ieee2014

Calibration method and system

Martin Vetterli, Ivan Dokmanic

The present invention concerns a method for calibrating an array of receivers (ri), each receiver being configured for receiving a signal transmitted by at least one transmitter (si), and echoes of the transmitted signal as reflected by one or more reflect ...

2014

Single-Channel Indoor Microphone Localization

Martin Vetterli, Ivan Dokmanic, Reza Parhizkar

We propose a novel method for single-channel microphone localization inside a known room. Unlike other approaches, we take advantage of the room reverberation, which enables us to use only a single fixed loudspeaker to localize the microphone. Our method u ...

IEEE2014

Hardware and Algorithms for Ultrasonic Depth Imaging

Ivan Dokmanic

Depth imaging is commonly based on light. For example, LIDAR and Kinect use infrared light, while stereo cameras use visible light. These systems require hardware operating at high sampling frequencies, precise calibration, and they dissipate significant p ...

Ieee2014

How to Localize Ten Microphones in One Fingersnap

Martin Vetterli, Ivan Dokmanic

A compelling method to calibrate the positions of microphones in an array is with sources at unknown locations. Remarkably, it is possible to reconstruct the locations of both the sources and the receivers, if their number is larger than some prescribed mi ...

IEEE2014