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• W2059451390 abstract "In many signal processing applications it is necessary to perform large convolutions in real-time. For systems where an exact convolution is too complex we propose an approximation using a partitioned truncated singular value decomposition (PTSVD) filter. In this method the filter is first partitioned into P segments of length N, the singular value decomposition is performed on the N × P matrix, and only the largest M singular values and associated vectors are used to reconstruct the filter. We show an efficient real-time implementation utilizing a filter bank and tapped delay line and then further simplify the structure utilizing an IIR model. Finally, we show an application of the method in a simulated reverberation engine and compare complexity and memory load to state of the art methods." @default.
• W2059451390 created "2016-06-24" @default.
• W2059451390 creator A5034855502 @default.
• W2059451390 creator A5057346151 @default.
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• W2059451390 date "2013-05-01" @default.
• W2059451390 modified "2023-09-22" @default.
• W2059451390 title "Approximate convolution using partitioned truncated singular value decomposition filtering" @default.
• W2059451390 cites W1726259173 @default.
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• W2059451390 doi "https://doi.org/10.1109/icassp.2013.6637632" @default.
• W2059451390 hasPublicationYear "2013" @default.
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