2017
DOI: 10.1109/tsp.2016.2637323
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On Lossless Feedback Delay Networks

Abstract: Abstract-Lossless Feedback Delay Networks (FDNs) are commonly used as a design prototype for artificial reverberation algorithms. The lossless property is dependent on the feedback matrix, which connects the output of a set of delays to their inputs, and the lengths of the delays. Both, unitary and triangular feedback matrices are known to constitute lossless FDNs, however, the most general class of lossless feedback matrices has not been identified. In this contribution, it is shown that the FDN is lossless f… Show more

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Cited by 19 publications
(24 citation statements)
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“…In this way, the application of both S W GW and S recombines the N (N − 1)(N − 1) channels present in the feedback loop back into the N (N − 1) inter-node wave variables required for reinsertion and further propagation through the system. Since the WGW makes use of essentially the same scattering operation as the SDN, it is similarly stable [10] regardless of the length of the delay lines connecting the nodes. As a result the addition of losses at the nodes will always result in a stable network.…”
Section: Feedback Loopmentioning
confidence: 99%
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“…In this way, the application of both S W GW and S recombines the N (N − 1)(N − 1) channels present in the feedback loop back into the N (N − 1) inter-node wave variables required for reinsertion and further propagation through the system. Since the WGW makes use of essentially the same scattering operation as the SDN, it is similarly stable [10] regardless of the length of the delay lines connecting the nodes. As a result the addition of losses at the nodes will always result in a stable network.…”
Section: Feedback Loopmentioning
confidence: 99%
“…A RTIFICIAL reverberation research has, until recently, striven mainly for the realistic imitation of rooms, concert halls, and other indoor acoustic spaces [1], [2]. For this purpose, there are several specialized modeling techniques, such as the ray-tracing [3], image-source [4], [5], digital waveguide [6], [7], feedback delay networks (FDNs) [8]- [10], and finitedifference time-domain (FDTD) [11]- [14] methods. However, there has been relatively little research looking at modeling of sparsely reflecting outdoor acoustic scenes, although environmental sound is of significant importance, particularly because of the propagation of noise pollution over distances and its impact on human health and well-being [15].…”
Section: Introductionmentioning
confidence: 99%
“…1. FDNs have well-established system properties such as losslessness and stability [5,6], decay control [7,8], impulse response density [9,10], and, modal distribution [11]. SISO allpass FDNs can be composed from simple allpass filters in series [2,12] or by nesting [13].…”
Section: Introductionmentioning
confidence: 99%
“…They result in homogeneous decay of the impulse response, i.e., all system eigenvalues have the same magnitude [7]. The main contributions of this work are ‚ Improved sufficient condition for an FDN to be stable (Theorem 2) in Section III ‚ Sufficient and necessary conditions for SISO and MIMO FDNs to be uniallpass (Theorems 3 and 4 in Section III) ‚ Characterization of admissible feedback matrices in uniallpass FDN (Section IV-B) 1 The term uniallpass is introduced here with similar motivation as unilossless feedback matrices in [6] which yields lossless FDNs regardless of delay lengths.…”
Section: Introductionmentioning
confidence: 99%
“…They studied the use of absorptive filters in these systems to maximize the mode density of the response while controlling the decay rate of different frequencies and ensuring consistency within frequency bands. The central lossless property of FDNs has been extensively studied by Rocchesso and Smith [9] and by Schlecht and Habets [10].…”
Section: Introductionmentioning
confidence: 99%