Author: Ms.Busigampala Harika., Deekonda Lahari
Doi: https://jmeb.2024.v9.i01.pp35-40
Abstract:
In this paper we examine how graphic hardware can be used for real-time FIR filtering. We implement uniformly-partitioned fast convolution in the frequency-domain and evaluate itperformmince on a NVIDIA GTX 285 graphics card. Motivated by audie rendering for virtual reality, our focus lies on large-scale realtime filtering with a multitude of channels, long impulse responses and low latencies. Graphics hardware has already been used for audio signal processing — including FIR and IIR filtering with respect to offline and real-time processing. However, the combination of GPU computing and real-time conditions leads to a number of challenges that have not been reviewed in detail. The new contribution of this paper is an implementation and detailed analysis of a frequency-domain fast convolution method on GPUs. We discuss specific problems that emerge under real-time Conditons. Our method allows to achieve an outstanding real-time filtiring performance. In this work, we do not only
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