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<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/2000/01/rdf-schema#comment>	"In mathematics, the continuous wavelet transform (CWT) is a formal (i.e., non-numerical) tool that provides an overcomplete representation of a signal by letting the translation and scale parameter of the wavelets vary continuously. The continuous wavelet transform of a function at a scale (a>0) and translational value is expressed by the following integral is the dual function of and is admissible constant, where hat means Fourier transform operator. Sometimes, , then the admissible constant becomes This inverse transform suggests that a wavelet should be defined as"@en .
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<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/abstract>	"\u041D\u0435\u043F\u0440\u0435\u0440\u044B\u0432\u043D\u043E\u0435 \u0432\u0435\u0439\u0432\u043B\u0435\u0442-\u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 (\u0430\u043D\u0433\u043B. continuous wavelet transform, CWT) \u2014 \u044D\u0442\u043E \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435, \u043E\u0442\u043E\u0431\u0440\u0430\u0436\u0430\u044E\u0449\u0435\u0435 \u0434\u0430\u043D\u043D\u0443\u044E \u0432\u0435\u0449\u0435\u0441\u0442\u0432\u0435\u043D\u043D\u043E\u0437\u043D\u0430\u0447\u043D\u0443\u044E \u0444\u0443\u043D\u043A\u0446\u0438\u044E , \u043E\u043F\u0440\u0435\u0434\u0435\u043B\u0435\u043D\u043D\u0443\u044E \u043D\u0430 \u0432\u0440\u0435\u043C\u0435\u043D\u043D\u043E\u0301\u0439 \u043E\u0441\u0438 \u043F\u0435\u0440\u0435\u043C\u0435\u043D\u043D\u043E\u0439 , \u0432 \u0444\u0443\u043D\u043A\u0446\u0438\u044E \u0434\u0432\u0443\u0445 \u043F\u0435\u0440\u0435\u043C\u0435\u043D\u043D\u044B\u0445 \u0438 . \u0417\u0434\u0435\u0441\u044C \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u044F\u0435\u0442 \u043F\u0430\u0440\u0430\u043B\u043B\u0435\u043B\u044C\u043D\u044B\u0439 \u043F\u0435\u0440\u0435\u043D\u043E\u0441, \u043F\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043B\u044F\u0435\u0442 \u043C\u0430\u0441\u0448\u0442\u0430\u0431 \u0438 \u2014 \u043C\u0430\u0442\u0435\u0440\u0438\u043D\u0441\u043A\u0438\u0439 \u0432\u0435\u0439\u0432\u043B\u0435\u0442 (mother wavelet). \u0418\u0437\u043D\u0430\u0447\u0430\u043B\u044C\u043D\u0430\u044F \u0444\u0443\u043D\u043A\u0446\u0438\u044F \u043C\u043E\u0436\u0435\u0442 \u0431\u044B\u0442\u044C \u0432\u043E\u0441\u0441\u0442\u0430\u043D\u043E\u0432\u043B\u0435\u043D\u0430 \u0441 \u043F\u043E\u043C\u043E\u0449\u044C\u044E \u043E\u0431\u0440\u0430\u0442\u043D\u043E\u0433\u043E \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u044F \u0433\u0434\u0435 \u043D\u0430\u0437\u044B\u0432\u0430\u0435\u0442\u0441\u044F \u043F\u043E\u0441\u0442\u043E\u044F\u043D\u043D\u043E\u0439 \u0434\u043E\u043F\u0443\u0441\u0442\u0438\u043C\u043E\u0441\u0442\u0438 \u0438 \u2014 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 \u0424\u0443\u0440\u044C\u0435 \u043E\u0442 .\u0414\u043B\u044F \u0442\u043E\u0433\u043E, \u0447\u0442\u043E\u0431\u044B \u043E\u0431\u0440\u0430\u0442\u043D\u043E\u0435 \u043F\u0440\u0435\u043E\u0431\u0440\u0430\u0437\u043E\u0432\u0430\u043D\u0438\u0435 \u0431\u044B\u043B\u043E \u0443\u0441\u043F\u0435\u0448\u043D\u044B\u043C, \u043F\u043E\u0441\u0442\u043E\u044F\u043D\u043D\u0430\u044F \u0434\u043E\u043F\u0443\u0441\u0442\u0438\u043C\u043E\u0441\u0442\u0438 \u0434\u043E\u043B\u0436\u043D\u0430 \u0441\u043E\u043E\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u043E\u0432\u0430\u0442\u044C \u043A\u0440\u0438\u0442\u0435\u0440\u0438\u044E \u0434\u043E\u043F\u0443\u0441\u0442\u0438\u043C\u043E\u0441\u0442\u0438 . \u0422\u0430\u043A\u0436\u0435 \u0441\u043B\u0435\u0434\u0443\u0435\u0442 \u043E\u0442\u043C\u0435\u0442\u0438\u0442\u044C, \u0447\u0442\u043E \u043A\u0440\u0438\u0442\u0435\u0440\u0438\u0439 \u0434\u043E\u043F\u0443\u0441\u0442\u0438\u043C\u043E\u0441\u0442\u0438 \u043F\u043E\u0434\u0440\u0430\u0437\u0443\u043C\u0435\u0432\u0430\u0435\u0442, \u0447\u0442\u043E, \u0442\u0430\u043A \u0447\u0442\u043E \u0438\u043D\u0442\u0435\u0433\u0440\u0430\u043B \u043E\u0442 \u0432\u0435\u0439\u0432\u043B\u0435\u0442\u0430 \u0434\u043E\u043B\u0436\u0435\u043D \u0431\u044B\u0442\u044C \u0440\u0430\u0432\u0435\u043D \u043D\u0443\u043B\u044E. \u041C\u0430\u0442\u0435\u0440\u0438\u043D\u0441\u043A\u0438\u0439 \u0432\u0435\u0439\u0432\u043B\u0435\u0442 (mother wavelet) \u0441\u0432\u044F\u0437\u0430\u043D \u0441 \u0434\u043E\u0447\u0435\u0440\u043D\u0438\u043C \u0432\u0435\u0439\u0432\u043B\u0435\u0442\u043E\u043C (daughter wavelet) \u0441\u043B\u0435\u0434\u0443\u044E\u0449\u0438\u043C \u0441\u043E\u043E\u0442\u043D\u043E\u0448\u0435\u043D\u0438\u0435\u043C: ."@ru .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/2002/07/owl#sameAs>	<http://rdf.freebase.com/ns/m.0328_k> .
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<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageLength>	"10122"^^<http://www.w3.org/2001/XMLSchema#nonNegativeInteger> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/Ripple107344663> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/2000/01/rdf-schema#comment>	"Transformacja falkowa \u2013 przekszta\u0142cenie podobne do transformacji Fouriera. Oba przekszta\u0142cenia opieraj\u0105 si\u0119 na wykorzystaniu operacji iloczynu skalarnego badanego sygna\u0142u s(t) i pozosta\u0142ej cz\u0119\u015Bci, zwanej \"j\u0105drem przekszta\u0142cenia\u201D. G\u0142\u00F3wna r\u00F3\u017Cnica mi\u0119dzy tymi przekszta\u0142ceniami to w\u0142a\u015Bnie owo j\u0105dro."@pl .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/property/wikiPageUsesTemplate>	<http://dbpedia.org/resource/Template:YouTube> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/Relation100031921> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/abstract>	"\u5C0F\u6CE2\u8F49\u63DB(Wavelet Transform)\u53EF\u4F9D\u7167\u8F38\u5165\u8207\u8F38\u51FA\u70BA\u9023\u7E8C\u6216\u662F\u96E2\u6563(discrete)\u5206\u6210\u4E09\u7A2E\u985E\u578B\uFF0C \n* \u7B2C\u4E00\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u5247\u7A31\u4E4B\u70BA\u9023\u7E8C\u5C0F\u6CE2\u8F49\u63DB(Continuous Wavelet Transform) \n* \u7B2C\u4E8C\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5247\u7A31\u4E4B\u70BA\u9023\u7E8C\u96E2\u6563\u4FC2\u6578\u5C0F\u6CE2\u8F49\u63DB(Continuous wavelet transform with discrete coefficients) \n* \u7B2C\u4E09\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5247\u7A31\u4E4B\u70BA\u96E2\u6563\u5C0F\u6CE2\u8F49\u63DB(Discrete Wavelet Transform) \n* \u4E26\u6C92\u6709\u7B2C\u56DB\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\u8F38\u51FA\u70BA\u9023\u7E8C\u7684\u5C0F\u6CE2\u8F49\u63DB\uFF0C\u5728\u61C9\u7528\u4E2D\u4E26\u4E0D\u6703\u5C07\u7C21\u55AE\u7684\u8A0A\u865F\u8F49\u63DB\u6210\u66F4\u8907\u96DC\u7684\u8A0A\u865F \u5085\u7ACB\u8449\u8F49\u63DB(Fourier Transform)\u8207\u5C0F\u6CE2\u8F49\u63DB\u6BD4\u8F03\u5171\u6709\u56DB\u7A2E\u985E\u578B \n* \u7B2C\u4E00\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u5085\u7ACB\u8449\u8F49\u63DB(Fourier Transform) \n* \u7B2C\u4E8C\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5085\u7ACB\u8449\u7D1A\u6578(Fourier Series) \n* \u7B2C\u4E09\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u96E2\u6563\u5085\u7ACB\u8449\u8F49\u63DB(Discrete Fourier Transform) \n* \u7B2C\u56DB\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u96E2\u6563(\u6642\u9593)\u5085\u7ACB\u8449\u8F49\u63DB(Discrete-time Fourier Transform)"@zh .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/File:Continuous_wavelet_transform.gif> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/Function113783816> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://xmlns.com/foaf/0.1/isPrimaryTopicOf>	<http://en.wikipedia.org/wiki/Continuous_wavelet_transform> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageExternalLink>	<http://www.polyvalens.com/blog/wavelets/> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/File:Continuous_wavelet_transform.svg> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/Happening107283608> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/MathematicalRelation113783581> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/2000/01/rdf-schema#label>	"Transformacja falkowa"@pl .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/1999/02/22-rdf-syntax-ns#type>	<http://dbpedia.org/class/yago/Wave107352190> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/2000/01/rdf-schema#comment>	"\u5C0F\u6CE2\u8F49\u63DB(Wavelet Transform)\u53EF\u4F9D\u7167\u8F38\u5165\u8207\u8F38\u51FA\u70BA\u9023\u7E8C\u6216\u662F\u96E2\u6563(discrete)\u5206\u6210\u4E09\u7A2E\u985E\u578B\uFF0C \n* \u7B2C\u4E00\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u5247\u7A31\u4E4B\u70BA\u9023\u7E8C\u5C0F\u6CE2\u8F49\u63DB(Continuous Wavelet Transform) \n* \u7B2C\u4E8C\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5247\u7A31\u4E4B\u70BA\u9023\u7E8C\u96E2\u6563\u4FC2\u6578\u5C0F\u6CE2\u8F49\u63DB(Continuous wavelet transform with discrete coefficients) \n* \u7B2C\u4E09\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5247\u7A31\u4E4B\u70BA\u96E2\u6563\u5C0F\u6CE2\u8F49\u63DB(Discrete Wavelet Transform) \n* \u4E26\u6C92\u6709\u7B2C\u56DB\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\u8F38\u51FA\u70BA\u9023\u7E8C\u7684\u5C0F\u6CE2\u8F49\u63DB\uFF0C\u5728\u61C9\u7528\u4E2D\u4E26\u4E0D\u6703\u5C07\u7C21\u55AE\u7684\u8A0A\u865F\u8F49\u63DB\u6210\u66F4\u8907\u96DC\u7684\u8A0A\u865F \u5085\u7ACB\u8449\u8F49\u63DB(Fourier Transform)\u8207\u5C0F\u6CE2\u8F49\u63DB\u6BD4\u8F03\u5171\u6709\u56DB\u7A2E\u985E\u578B \n* \u7B2C\u4E00\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u5085\u7ACB\u8449\u8F49\u63DB(Fourier Transform) \n* \u7B2C\u4E8C\u7A2E\uFF0C\u8F38\u5165\u70BA\u9023\u7E8C\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u5085\u7ACB\u8449\u7D1A\u6578(Fourier Series) \n* \u7B2C\u4E09\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u96E2\u6563\uFF0C\u96E2\u6563\u5085\u7ACB\u8449\u8F49\u63DB(Discrete Fourier Transform) \n* \u7B2C\u56DB\u7A2E\uFF0C\u8F38\u5165\u70BA\u96E2\u6563\uFF0C\u8F38\u51FA\u70BA\u9023\u7E8C\uFF0C\u96E2\u6563(\u6642\u9593)\u5085\u7ACB\u8449\u8F49\u63DB(Discrete-time Fourier Transform)"@zh .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/abstract>	"Transformacja falkowa \u2013 przekszta\u0142cenie podobne do transformacji Fouriera. Oba przekszta\u0142cenia opieraj\u0105 si\u0119 na wykorzystaniu operacji iloczynu skalarnego badanego sygna\u0142u s(t) i pozosta\u0142ej cz\u0119\u015Bci, zwanej \"j\u0105drem przekszta\u0142cenia\u201D. G\u0142\u00F3wna r\u00F3\u017Cnica mi\u0119dzy tymi przekszta\u0142ceniami to w\u0142a\u015Bnie owo j\u0105dro."@pl .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageInterLanguageLink>	<http://fr.dbpedia.org/resource/Ondelette> .
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<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Time-frequency_analysis> .
<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://www.w3.org/ns/prov#wasDerivedFrom>	<http://en.wikipedia.org/wiki/Continuous_wavelet_transform?oldid=1123442580&ns=0> .
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<http://dbpedia.org/resource/Continuous_wavelet_transform>	<http://dbpedia.org/ontology/wikiPageWikiLink>	<http://dbpedia.org/resource/Complex_conjugate> .
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