000			03634nam a22004095i 4500
001			84985
003			ES-MaUEC
005			20230207040450.0
007			cr nn 008mamaa
008			151221s2016 gw | s |||| 0|eng d
020			_a9783319239507
040			_aES-MaUEC
050		4	_aTK5103.7 _bS736 2016
082	0	4	_a004.6
100	1		_aStankovic, Srdjan. _997615 _0Local
245	1	0	_aMultimedia Signals and Systems : _bBasic and Advanced Algorithms for Signal Processing _cby Srdjan Stankovic, Irena Orovic, Ervin Sejdic
250			_a2nd ed.
260			_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXVIII, 391 páginas) _b237 ilustraciones, 111 ilustraciones en color
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_a1.Mathematical transforms used for multimedia signal processing -- 2.Digital audio -- 3.Storing and transmission of digital audio signals -- 4.Digital image -- 5.Digital video -- 6.Compressive sensing -- 7.Digital Watermarking -- 8.Multimedia signals and systems in telemedicine. �.
520	3		_aThis book covers the basics of multimedia systems and signal processing. Emphasis is given to the analysis and processing of multimedia signals (audio, images, and video). Detailed insight into the most relevant mathematical apparatus and transformations used in multimedia signal processing is given. A unique relationship between different transformations is also included, opening new perspectives for defining novel transforms in specific applications. Special attention is dedicated to the compressive sensing area, which has a great potential to contribute to further improvement of modern multimedia systems. In addition to the theoretical concepts, various standard and more recently accepted algorithms for the reconstruction of different types of signals are considered. Finally, the book connects these principles to other important elements of multimedia systems, such as the analysis of optical media, digital watermarking, and telemedicine. This book is an ideal book for students, professionals, and researchers in the field of multimedia and related fields with a need to learn the fundamentals of multimedia systems and signal processing. New to this edition: Introduction of the generalization concept to consolidate the time-frequency signal analysis, wavelet transformation, and Hermite transformation� Inclusion of prominent robust transformation theory used in the processing of noisy multimedia data as wel l as advanced�multimedia data filtering approaches, including image filtering techniques for impulse noise environment Extended video compression algorithms Detailed coverage of compressive sensing in multimedia applications.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, asignarmaterias , EBSPRINGER
650	0	7	_aEstructuras de datos (Informática) _2embne _9151535
650		7	_aBioinformática _2embne _9160489
700	1		_aOrovic, Irena. _997616 _0Local
700	1		_aSejdic, Ervin. _997617 _0Local
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-23950-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319239507
907			_a.b12942637 _b10-10-17 _c21-11-16
998			_am _a_alco _a_vill _b - - _cm _dz _e- _feng _ggw _h0
945			_aTK5103.7 S736 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11586941 _z06-04-17
999			_c84985 _d84985 _x1