WFRF:(Jakobsson Stefan)
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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 04339naa a2200397 4500 | |
| 001 | oai:lup.lub.lu.se:8237a0fe-8f52-4404-b201-fcf4d2bf7c75 | |
| 003 | SwePub | |
| 008 | 160401s2016 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://lup.lub.lu.se/record/88640262 URI |
| 024 | 7 | a https://doi.org/10.1016/j.sigpro.2016.02.0152 DOI |
| 040 | a (SwePub)lu | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a art2 swepub-publicationtype |
| 072 | 7 | a ref2 swepub-contenttype |
| 100 | 1 | a Elvander, Filipu Lund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)mats-fel |
| 245 | 1 0 | a An Adaptive Penalty Multi-Pitch Estimator with Self-Regularization |
| 264 | 1 | b Elsevier BV,c 2016 |
| 520 | a This work treats multi-pitch estimation, and in particular the common misclassification issue wherein the pitch at half the true fundamental frequency, the sub-octave, is chosen instead of the true pitch. Extending on current group LASSO-based methods for pitch estimation, this work introduces an adaptive total variation penalty, which enforces both group- and block sparsity, as well as deals with errors due to sub-octaves. Also presented is a scheme for signal adaptive dictionary construction and automatic selection of the regularization parameters. Used together with this scheme, the proposed method is shown to yield accurate pitch estimates when evaluated on synthetic speech data. The method is shown to perform as good as, or better than, current state-of-the-art sparse methods while requiring fewer tuning parameters than these, as well as several con- ventional pitch estimation methods, even when these are given oracle model orders. When evaluated on a set of ten musical pieces, the method shows promising results for separating multi-pitch signals. | |
| 650 | 7 | a TEKNIK OCH TEKNOLOGIERx Elektroteknik och elektronikx Signalbehandling0 (SwePub)202052 hsv//swe |
| 650 | 7 | a ENGINEERING AND TECHNOLOGYx Electrical Engineering, Electronic Engineering, Information Engineeringx Signal Processing0 (SwePub)202052 hsv//eng |
| 650 | 7 | a NATURVETENSKAPx Matematikx Sannolikhetsteori och statistik0 (SwePub)101062 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Mathematicsx Probability Theory and Statistics0 (SwePub)101062 hsv//eng |
| 653 | a Multi-pitch estimation | |
| 653 | a block sparsity | |
| 653 | a adaptive sparse penalty | |
| 653 | a self-regularization | |
| 653 | a ADMM | |
| 700 | 1 | a Kronvall, Tedu Lund University,Lunds universitet,Statistical Signal Processing Group,Forskargrupper vid Lunds universitet,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)mats-tka |
| 700 | 1 | a Adalbjörnsson, Stefan Ingiu Lund University,Lunds universitet,Humanistlaboratoriet,Fakultetsgemensamma verksamheter,Humanistiska och teologiska fakulteterna,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Humanities Lab,Units,Joint Faculties of Humanities and Theology,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)mats-sao |
| 700 | 1 | a Jakobsson, Andreasu Lund University,Lunds universitet,Biomedical Modelling and Computation,Forskargrupper vid Lunds universitet,Statistical Signal Processing Group,Matematisk statistik,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Lund University Research Groups,Mathematical Statistics,Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH4 aut0 (Swepub:lu)mats-aaj |
| 710 | 2 | a Statistical Signal Processing Groupb Forskargrupper vid Lunds universitet4 org |
| 773 | 0 | t Signal Processingd : Elsevier BVg 127, s. 56-70q 127<56-70x 0165-1684 |
| 856 | 4 | u http://dx.doi.org/10.1016/j.sigpro.2016.02.015y FULLTEXT |
| 856 | 4 8 | u https://lup.lub.lu.se/record/8864026 |
| 856 | 4 8 | u https://doi.org/10.1016/j.sigpro.2016.02.015 |
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