70 citations · 162 across the 8 of their papers we have counts for
9 papers
Fast Matching Pursuit with Multi-Gabor Dictionaries
Zdeněk Průša, Nicki Holighaus, Peter Balazs
Finding the best K-sparse approximation of a signal in a redundant dictionary is an NP-hard problem. Suboptimal greedy matching pursuit (MP) algorithms are generally used for this…
Non-iterative Filter Bank Phase (Re)Construction
Zdeněk Průša, Nicki Holighaus
Signal reconstruction from magnitude-only measurements presents a long-standing problem in signal processing. In this contribution, we propose a phase (re)construction method for f…
Phase Vocoder Done Right
Zdenek Prusa, Nicki Holighaus
The phase vocoder (PV) is a widely spread technique for processing audio signals. It employs a short-time Fourier transform (STFT) analysis-modify-synthesis loop and is typically u…
Characterization of Analytic Wavelet Transforms and a New Phaseless Reconstruction Algorithm
Nicki Holighaus, Günther Koliander, Zdenĕk Průša +1
We obtain a characterization of all wavelets leading to analytic wavelet transforms (WT). The characterization is obtained as a by-product of the theoretical foundations of a new m…
A Proper version of Synthesis-based Sparse Audio Declipper
Pavel Záviška, Pavel Rajmic, Ondřej Mokrý +1
Methods based on sparse representation have found great use in the recovery of audio signals degraded by clipping. The state of the art in declipping has been achieved by the SPADE…
Revisiting Synthesis Model of Sparse Audio Declipper
Pavel Záviška, Pavel Rajmic, Zdeněk Průša +1
The state of the art in audio declipping has currently been achieved by SPADE (SParse Audio DEclipper) algorithm by Kitić et al. Until now, the synthesis/sparse variant, S-SPADE, h…
A Non-iterative Method for (Re)Construction of Phase from STFT Magnitude
Zdeněk Průša, Peter Balazs, Peter L. Søndergaard
A non-iterative method for the construction of the Short-Time Fourier Transform (STFT) phase from the magnitude is presented. The method is based on the direct relationship between…
A Perceptually Motivated Filter Bank with Perfect Reconstruction for Audio Signal Processing
Thibaud Necciari, Nicki Holighaus, Peter Balazs +1
Many audio applications rely on filter banks (FBs) to analyze, process, and re-synthesize sounds. To approximate the auditory frequency resolution in the signal chain, some applica…
A class of warped filter bank frames tailored to non-linear frequency scales
Nicki Holighaus, Christoph Wiesmeyr, Zdeněk Průša
A method for constructing non-uniform filter banks is presented. Starting from a uniform system of translates, generated by a prototype filter, a non-uniform covering of the freque…