{"title":"标准正交基并中的稀疏表示的新结果","authors":"Tao Zhang , Gennian Ge","doi":"10.1016/j.acha.2025.101786","DOIUrl":null,"url":null,"abstract":"<div><div>The problem of sparse representation has significant applications in signal processing. The spark of a dictionary plays a crucial role in the study of sparse representation. Donoho and Elad initially explored the spark, and they provided a general lower bound. When the dictionary is a union of several orthonormal bases, Gribonval and Nielsen presented an improved lower bound for spark. In this paper, we introduce a new construction of dictionary, achieving the spark bound given by Gribonval and Nielsen. More precisely, let <em>q</em> be a power of 2, we show that for any positive integer <em>t</em>, there exists a dictionary in <span><math><msup><mrow><mi>R</mi></mrow><mrow><msup><mrow><mi>q</mi></mrow><mrow><mn>2</mn><mi>t</mi></mrow></msup></mrow></msup></math></span>, which is a union of <span><math><mi>q</mi><mo>+</mo><mn>1</mn></math></span> orthonormal bases, such that the spark of the dictionary attains Gribonval-Nielsen's bound. Our result extends previously best known result from <span><math><mi>t</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn></math></span> to arbitrarily positive integer <em>t</em>, and our construction is technically different from previous ones. Their method is more combinatorial, while ours is algebraic, which is more general.</div></div>","PeriodicalId":55504,"journal":{"name":"Applied and Computational Harmonic Analysis","volume":"79 ","pages":"Article 101786"},"PeriodicalIF":2.6000,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"New results on sparse representations in unions of orthonormal bases\",\"authors\":\"Tao Zhang , Gennian Ge\",\"doi\":\"10.1016/j.acha.2025.101786\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The problem of sparse representation has significant applications in signal processing. The spark of a dictionary plays a crucial role in the study of sparse representation. Donoho and Elad initially explored the spark, and they provided a general lower bound. When the dictionary is a union of several orthonormal bases, Gribonval and Nielsen presented an improved lower bound for spark. In this paper, we introduce a new construction of dictionary, achieving the spark bound given by Gribonval and Nielsen. More precisely, let <em>q</em> be a power of 2, we show that for any positive integer <em>t</em>, there exists a dictionary in <span><math><msup><mrow><mi>R</mi></mrow><mrow><msup><mrow><mi>q</mi></mrow><mrow><mn>2</mn><mi>t</mi></mrow></msup></mrow></msup></math></span>, which is a union of <span><math><mi>q</mi><mo>+</mo><mn>1</mn></math></span> orthonormal bases, such that the spark of the dictionary attains Gribonval-Nielsen's bound. Our result extends previously best known result from <span><math><mi>t</mi><mo>=</mo><mn>1</mn><mo>,</mo><mn>2</mn></math></span> to arbitrarily positive integer <em>t</em>, and our construction is technically different from previous ones. Their method is more combinatorial, while ours is algebraic, which is more general.</div></div>\",\"PeriodicalId\":55504,\"journal\":{\"name\":\"Applied and Computational Harmonic Analysis\",\"volume\":\"79 \",\"pages\":\"Article 101786\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-06-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied and Computational Harmonic Analysis\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1063520325000405\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied and Computational Harmonic Analysis","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1063520325000405","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
New results on sparse representations in unions of orthonormal bases
The problem of sparse representation has significant applications in signal processing. The spark of a dictionary plays a crucial role in the study of sparse representation. Donoho and Elad initially explored the spark, and they provided a general lower bound. When the dictionary is a union of several orthonormal bases, Gribonval and Nielsen presented an improved lower bound for spark. In this paper, we introduce a new construction of dictionary, achieving the spark bound given by Gribonval and Nielsen. More precisely, let q be a power of 2, we show that for any positive integer t, there exists a dictionary in , which is a union of orthonormal bases, such that the spark of the dictionary attains Gribonval-Nielsen's bound. Our result extends previously best known result from to arbitrarily positive integer t, and our construction is technically different from previous ones. Their method is more combinatorial, while ours is algebraic, which is more general.
期刊介绍:
Applied and Computational Harmonic Analysis (ACHA) is an interdisciplinary journal that publishes high-quality papers in all areas of mathematical sciences related to the applied and computational aspects of harmonic analysis, with special emphasis on innovative theoretical development, methods, and algorithms, for information processing, manipulation, understanding, and so forth. The objectives of the journal are to chronicle the important publications in the rapidly growing field of data representation and analysis, to stimulate research in relevant interdisciplinary areas, and to provide a common link among mathematical, physical, and life scientists, as well as engineers.