Uniformly-Partitioned Convolution with Independent Partitions in Signal and Filter

Wefers F, Vorländer M. Uniformly-Partitioned Convolution with Independent Partitions in Signal and Filter. In: AES Convention 137. Audio Engineering Society; 2014. Paper 9205. Available from: https://aes.org/publications/elibrary-page/?id=17528

@inproceedings{Wefers2014_17528,
  author = {Wefers, Frank and Vorländer, Michael},
  title = {{Uniformly-Partitioned Convolution with Independent Partitions in Signal and Filter}},
  booktitle = {AES Convention 137},
  note = {Paper 9205},
  year = {2014},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17528}
}

TY  - CPAPER
TI  - Uniformly-Partitioned Convolution with Independent Partitions in Signal and Filter
AU  - Wefers, Frank
AU  - Vorländer, Michael
T2  - AES Convention 137
M1  - Paper 9205
PY  - 2014
DA  - 2014/10/06
UR  - https://aes.org/publications/elibrary-page/?id=17528
PB  - Audio Engineering Society
LA  - en
AB  - Low-latency real-time FIR filtering is often realized using partitioned convolution algorithms, which split the filter impulse responses into a sequence of sub filters and process these sub filters efficiently using frequency-domain methods (e.g., FFT-based convolution). Methods that split both, the signal and the filter, into uniformly-sized sub filters define a fundamental class of algorithms known as uniformly-partitioned convolution techniques. In these methods both operands, signal and filter, are usually partitioned with the same granularity. This contribution introduces uniformly-partitioned algorithms with independent partitions (block lengths) in both operands and regards viable transform sizes resulting from these. The relations of the algorithmic parameters are derived and the performance of the approach is evaluated.
ER  -