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dc.contributor.author Klusáček, David
dc.date.accessioned 2017-09-07T10:01:05Z
dc.date.available 2017-09-07T10:01:05Z
dc.date.issued 2017-01-10
dc.identifier.uri http://hdl.handle.net/11234/1-2380
dc.description Extremely fast digital audio channelizer implementation, usable as a building block for experimental ASR front-ends or signal denoising applications. Also applicable in software defined radios, due to its high throughput. It comes in a form of a C/C++ library and an executable example program which reads input stream, splitting it into equidistant frequency channels, emitting their data to the output. Features: (1) Hand tuned SIMD-aware assembly for x86 (SSE) and IA64 (AVX) as well as for ARM (NEON) processors. (2) Generic non-SIMD C++ implementation for other architectures. (3) Capable of taking advantage of multicore CPUs. (4) Fully configurable number of channels and the output decimation rate. (5) User supplied FIR of the channel separation filter, which allows to specify the width of the channels, whether they should overlap or be separated. (6) Input and output signal samples are treated as complex numbers. (7) Speed over 750 complex MS/s achieved on Core i7 4710HQ @ 2.5GHz, when channelizing into 72 output channels with a FIR length of 1152 samples, using 3 computing threads. (8) Runs under Linux OS.
dc.publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
dc.rights Mozilla Public License 2.0
dc.rights.uri http://opensource.org/licenses/MPL-2.0
dc.source.uri http://atrey.karlin.mff.cuni.cz/~klusacek/EFCL.html
dc.subject Fast Channelizer
dc.subject Filterbank
dc.subject ASR Front End
dc.subject Software Defined Radio
dc.subject Polyphase Filter
dc.subject Frequency Multiplexing
dc.subject Audio Denoising
dc.subject High Performance Computing
dc.subject HPC
dc.subject SDR
dc.subject FFT
dc.subject FFTW
dc.subject SIMD
dc.subject AVX
dc.subject SSE
dc.subject NEON
dc.title EFCL Channelizer
dc.type toolService
metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent false
metashare.ResourceInfo#ContentInfo.detailedType tool
dc.rights.label PUB
has.files yes
branding LINDAT / CLARIAH-CZ
contact.person David Klusáček efcl@email.cz Charles University in Prague, UFAL
sponsor Ministerstvo školství, mládeže a tělovýchovy České republiky LM2015071 LINDAT/CLARIN: Institut pro analýzu, zpracování a distribuci lingvistických dat nationalFunds
files.size 1100400
files.count 2


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Licence: Mozilla Public License 2.0
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efcl-0.3.tbz
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EFCL source code and documentation
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EFCL-v03.html
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Short introduction
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