01185nam0 22002771i 450 SUN001904520071218120000.020040707d1991 |0itac50 baitaIT|||| |||||Psicoanalisi degli stati limitela follia privataAndré Greenedizione italiana a cura di Franco Del CornoMilano : Raffaello Cortina1991349 p. ; 23 cmTit. orig.: La folie privée001SUN00164672001 Collana di psicologia clinica e psicoterapia47210 MilanoRaffaello Cortina.MilanoSUNL000284Green, AndréSUNV015168384874Del Corno, FrancoSUNV013138Cortina, RaffaelloSUNV001491650ITSOL20181109RICASUN0019045UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIA16 CONS 239 16 VS 1431 UFFICIO DI BIBLIOTECA DEL DIPARTIMENTO DI PSICOLOGIAIT-CE0119VS1431CONS 239caPsicoanalisi degli stati limite1429208UNICAMPANIA04210nam 2200409za 450 991083022470332120230120072414.01-118-97931-11-119-55541-81-118-97932-X(MiAaPQ)EBC5747373(PPN)271976314(OCoLC)1073883387(CaSebORM)9781118979273(EXLCZ)99410000000792668820190423d2019 uy 0engurcn|nnn|||||Discrete wavelet transformations[electronic resource] an elementary approach with applications /Patrick J. Van Fleet2nd ed.Hoboken, N.J. Wiley20191 online resource (xxvii, 587 p.) illPrevious ed.: 2008.Print version: Van Fleet, Patrick J., 1962- author. Discrete wavelet transformations 2nd edition. Hoboken, NJ : John Wiley & Sons, Inc., [2019] 9781118979273 (DLC) 2018046966 Includes bibliographical references and index.1. Introduction : why wavelets? -- 2. Vectors and matrices -- 3. An introduction to digital images -- 4. The haar wavelet transformation -- 5. Daubechies wavelet transformations -- 6. Wavelet shrinkage : an application to denoising -- 7. Biorthogonal wavelet transformations -- 8. Complex numbers and Fourier series -- 9. Filter construction in the Fourier domain -- 10. Wavelet packets -- 11. Lifting -- 12. The JPEG2000 image compression standard -- A. Basic statistics.The new edition of Discrete Wavelet Transformations continues to guide readers through the abstract concepts of wavelet theory by using Dr. Van Fleet’s highly practical, application-based approach, which reflects how mathematicians construct solutions to challenges outside the classroom. By introducing the Haar, orthogonal, and biorthogonal filters without the use of Fourier series, Van Fleet allows his audience to connect concepts directly to real-world applications at an earlier point than other publications in the field. Leveraging extensive graphical displays, this self-contained volume integrates concepts from calculus and linear algebra into the constructions of wavelet transformations and their applications, including data compression, edge detection in images and denoising of signals. Conceptual understanding is reinforced with over 500 detailed exercises and 24 computer labs. The second edition discusses new applications including image segmentation, pansharpening, and the FBI fingerprint compression specification. Other notable features include: Two new chapters covering wavelet packets and the lifting method; A reorganization of the presentation so that basic filters can be constructed without the use of Fourier techniques; A new comprehensive chapter that explains filter derivation using Fourier techniques; Over 120 examples of which 91 are “live examples,” which allow the reader to quickly reproduce these examples in Mathematica or MATLAB and deepen conceptual mastery; An overview of digital image basics, equipping readers with the tools they need to understand the image processing applications presented; A complete rewrite of the DiscreteWavelets package called WaveletWare for use with Mathematica and MATLAB; A website, www.stthomas.edu/wavelets, featuring material containing the WaveletWare package, live examples, and computer labs in addition to companion material for teaching a course using the book. Comprehensive and grounded, this book and its online components provide an excellent foundation for developing undergraduate courses as well as a valuable resource for mathematicians, signal process engineers, and other professionals seeking to understand the practical applications of discrete wavelet transformations in solving real-world challenges.Wavelets (Mathematics)Transformations (Mathematics)Wavelets (Mathematics)Transformations (Mathematics)515.2433Van Fleet Patrick J.1962-521988BOOK9910830224703321Discrete wavelet transformations835247UNINA