LEADER 03422nam 22006372 450 001 9910452993003321 005 20151005020622.0 010 $a1-107-22943-X 010 $a1-280-77480-0 010 $a1-139-22281-3 010 $a9786613685193 010 $a1-139-22452-2 010 $a1-139-21801-8 010 $a1-139-00389-5 010 $a1-139-21492-6 035 $a(CKB)2550000000107278 035 $a(SSID)ssj0000684039 035 $a(PQKBManifestationID)11393494 035 $a(PQKBTitleCode)TC0000684039 035 $a(PQKBWorkID)10703283 035 $a(PQKB)11225730 035 $a(UkCbUP)CR9781139003896 035 $a(MiAaPQ)EBC3004588 035 $a(Au-PeEL)EBL3004588 035 $a(CaPaEBR)ebr10578292 035 $a(CaONFJC)MIL368519 035 $a(OCoLC)806042075 035 $a(EXLCZ)992550000000107278 100 $a20141103d2012|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe mathematics of signal processing /$fSteven B. Damelin, Willard Miller, Jr$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2012. 215 $a1 online resource (xii, 449 pages) $cdigital, PDF file(s) 225 1 $aCambridge texts in applied mathematics ;$v48 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a1-107-60104-5 311 $a1-107-01322-4 320 $aIncludes bibliographical references (p. [437]-442) and index. 327 $aPreface -- Introduction -- 1. Normed vector spaces -- 2. Analytic tools -- 3. Fourier series -- 4. The Fourier transform -- 5. Compressive sampling -- 6. Discrete transforms -- 7. Linear filters -- 8. Windowed fourier and continuous wavelet transforms. Frames -- 9. Multiresolution analysis -- 10. Discrete wavelet theory -- 11. Biorthogonal filters and wavelets -- 12. Parsimonious representation of data. 330 $aArising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of which have been chosen to prepare the reader for the applications to come. The book includes rigorous proofs of core results in compressive sensing and wavelet convergence. Fundamental is the treatment of the linear system y=?x in both finite and infinite dimensions. There are three possibilities: the system is determined, overdetermined or underdetermined, each with different aspects. The authors assume only basic familiarity with advanced calculus, linear algebra and matrix theory and modest familiarity with signal processing, so the book is accessible to students from the advanced undergraduate level. Many exercises are also included. 410 0$aCambridge texts in applied mathematics ;$v48. 606 $aSignal processing$xMathematics 615 0$aSignal processing$xMathematics. 676 $a621.38220151 700 $aDamelin$b Steven B.$0974516 702 $aMiller$b Willard 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910452993003321 996 $aThe mathematics of signal processing$92218678 997 $aUNINA