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A Low Latency Implementation of a Non Uniform Partitioned Overlap and Save Algorithm for Real Time Applications
FIR convolution is a widely used operation in digital signal processing field, especially for filtering operations in real time scenarios. In this context, low computationally demanding techniques for calculating convolutions with low input/output latency become essential, considering that the real time requirements are strictly related to the impulse response length. In this paper, a multithreading real time implementation of a Non Uniform Partitioned Overlap and Save algorithm is proposed with the aim of lowering the workload required in applications like reverberation, also exploiting the human ear sensitivity. Several results are reported in order to show the effectiveness of the proposed approach in terms of computational cost, taking into consideration different impulse responses and also introducing comparisons with existing techniques of the state of the art.
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