LEADER 01783oam 2200469I 450 001 9910707990403321 005 20170727122732.0 035 $a(CKB)5470000002468661 035 $a(OCoLC)978250201 035 $a(EXLCZ)995470000002468661 100 $a20170321d2012 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWater-quality and lake-stage data for Wisconsin lakes, water year 2008-2011 $ea report by the Wisconsin Water Science Center Lake-Studies Team /$fS. Bridgett Manteufel [and three others] 210 1$aReston, Virginia :$cU.S. Department of the Interior, U.S. Geological Survey,$d2012. 215 $a1 online resource (558 unnumbered pages) $cillustrations 225 1 $aOpen-file report ;$v2012-1238 300 $a"Prepared in cooperation with the State of Wisconsin and with other agencies." 320 $aIncludes bibliographical references. 517 $aWater-quality and lake-stage data for Wisconsin lakes, water year 2008-2011 606 $aWater quality$zWisconsin$xMeasurement 606 $aWater quality$xResearch$zWisconsin 606 $aLakes$zWisconsin 606 $aWater$xPollution$zWisconsin 615 0$aWater quality$xMeasurement. 615 0$aWater quality$xResearch 615 0$aLakes 615 0$aWater$xPollution 700 $aManteufel$b S. Bridgett$01422962 712 02$aWisconsin. 712 02$aWisconsin District Lake-Studies Team. 712 02$aGeological Survey (U.S.), 801 0$bGPO 801 1$bGPO 801 2$bGPO 906 $aBOOK 912 $a9910707990403321 996 $aWater-quality and lake-stage data for Wisconsin lakes, water year 2008-2011$93548905 997 $aUNINA LEADER 01261nam0 22003371i 450 001 RML0271920 005 20231121125725.0 100 $a20121121d1955 ||||0itac50 ba 101 | $alat 102 $ade 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 1 $aHeinrichs Livlandische Chronik$fbearbeitet von Leonid Arbusow und Albert Bauer 205 $a2. ed 210 $aHannoverae $cImpensis bibliopolii Hahniani $d1955 215 $aLXIV, 255 p.$d23 cm 225 | $aMonumenta Germaniae Historica 410 0$1001RML0331320$12001 $aMonumenta Germaniae Historica 517 1 $aChronicon Livoniae$9RML0336490 517 1 $aHeinrici Chronicon Livoniae$9RML0336491 700 1$aHenricus$b, Lettus$3RMLV175356$0714523 702 1$aBauer$b, Albert$3RMLV175354 702 1$aArbusow$b, Leonid$3RMLV175355 801 3$aIT$bIT-01$c20121121 850 $aIT-FR0017 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 912 $aRML0271920 950 0$aBiblioteca umanistica Giorgio Aprea$d 52CIS MGH Ag 31$e 52VM 0000421305 VM barcode:00008891. - Inventario:3775 FLSVM$fB $h20040330$i20121204 977 $a 52 996 $aHeinrichs Livlandische Chronik$91381798 997 $aUNICAS LEADER 04545nam 22006495 450 001 9910254571903321 005 20250609111734.0 010 $a3-319-51893-3 024 7 $a10.1007/978-3-319-51893-0 035 $a(CKB)3710000001124872 035 $a(DE-He213)978-3-319-51893-0 035 $a(MiAaPQ)EBC4831983 035 $a(PPN)199767459 035 $a(MiAaPQ)EBC6242009 035 $a(EXLCZ)993710000001124872 100 $a20170327d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aPredictability of Chaotic Dynamics $eA Finite-time Lyapunov Exponents Approach /$fby Juan C. Vallejo, Miguel A. F. Sanjuan 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017. 215 $a1 online resource (XV, 136 p. 47 illus., 22 illus. in color.) 225 1 $aSpringer Series in Synergetics,$x0172-7389 311 08$a3-319-51892-5 320 $aIncludes bibliographical references. 327 $aPreface -- Forecasting and Chaos -- Lyapunov Exponents -- Dynamical Regimes and Timescales -- Predictability -- Numerical Calculation of Lyapunov Exponents. 330 $aThis book is primarily concerned with the computational aspects of predictability of dynamical systems ? in particular those where observation, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, for instance in celestial mechanics, one is confronted with the observation and modeling of systems without the possibility of altering the key parameters of the objects studied. Therefore, the numerical simulations offer an essential tool for analyzing these systems. With the widespread use of computer simulations to solve complex dynamical systems, the reliability of the numerical calculations is of ever-increasing interest and importance. This reliability is directly related to the regularity and instability properties of the modeled flow. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the finite-time Lyapunov exponents approach. The method is illustrated using a number of well-known continuous dynamical systems, including the Contopoulos, Hénon-Heiles and Rössler systems. To help students and newcomers quickly learn to apply these techniques, the appendix provides descriptions of the algorithms used throughout the text and details how to implement them in order to solve a given continuous dynamical system. 410 0$aSpringer Series in Synergetics,$x0172-7389 606 $aStatistical physics 606 $aPhysics 606 $aSpace sciences 606 $aMathematical physics 606 $aApplications of Nonlinear Dynamics and Chaos Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/P33020 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aSpace Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics)$3https://scigraph.springernature.com/ontologies/product-market-codes/P22030 606 $aMathematical Applications in the Physical Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/M13120 615 0$aStatistical physics. 615 0$aPhysics. 615 0$aSpace sciences. 615 0$aMathematical physics. 615 14$aApplications of Nonlinear Dynamics and Chaos Theory. 615 24$aNumerical and Computational Physics, Simulation. 615 24$aSpace Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics). 615 24$aMathematical Applications in the Physical Sciences. 676 $a003.857 700 $aVallejo$b Juan C$4aut$4http://id.loc.gov/vocabulary/relators/aut$0823845 702 $aSanjuan$b Miguel A. F$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254571903321 996 $aPredictability of Chaotic Dynamics$91982581 997 $aUNINA LEADER 04292nam 22006495 450 001 9910337627103321 005 20200629125509.0 010 $a3-030-11781-2 024 7 $a10.1007/978-3-030-11781-8 035 $a(CKB)4930000000042176 035 $a(DE-He213)978-3-030-11781-8 035 $a(MiAaPQ)EBC5922210 035 $a(PPN)235234583 035 $a(EXLCZ)994930000000042176 100 $a20190330d2019 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntroduction to Audio Processing /$fby Mads G. Christensen 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (XXXI, 224 p. 187 illus., 76 illus. in color.) 311 $a3-030-11780-4 327 $aIntroduction -- What is Sound? -- The Wave Equation -- Digital Audio Signals -- What Are Filters? -- Comb Filters and Periodic Signals -- More About Filters -- The Fourier Transform -- Audio Effects -- Spatial Effects -- Audio Equalizers -- Dynamic Range Control -- Pitch Estimation -- Appendix -- Bibliography. 330 $aThis textbook presents an introduction to signal processing for audio applications. The author?s approach posits that math is at the heart of audio processing and that it should not be simplified. He thus retains math as the core of signal processing and includes concepts of difference equations, convolution, and the Fourier Transform. Each of these is presented in a context where they make sense to the student and can readily be applied to build artifacts. Each chapter in the book builds on the previous ones, building a linear, coherent story. The book starts with a definition of sound and goes on to discuss digital audio signals, filters, The Fourier Transform, audio effects, spatial effects, audio equalizers, dynamic range control, and pitch estimation. The exercises in each chapter cover the application of the concepts to audio signals. The exercises are made specifically for Pure Data (Pd) although traditional software, such as MATLAB, can be used. The book is intended for students in media technology bachelor programs. The book is based on material the author developed teaching on the topic over a number of years. Presents a comprehensive introduction to audio processing for students in media technology and signal processing Builds a foundation for audio applications based on mathematical equations, presented in a way understandable to students without a math background Includes a full suite of classroom material including end of chapter exercises and companion Youtube video tutorials on the authors? channel. 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aAcoustical engineering 606 $aUser interfaces (Computer systems) 606 $aApplication software 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aEngineering Acoustics$3https://scigraph.springernature.com/ontologies/product-market-codes/T16000 606 $aUser Interfaces and Human Computer Interaction$3https://scigraph.springernature.com/ontologies/product-market-codes/I18067 606 $aComputer Appl. in Social and Behavioral Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/I23028 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aAcoustical engineering. 615 0$aUser interfaces (Computer systems) 615 0$aApplication software. 615 14$aSignal, Image and Speech Processing. 615 24$aEngineering Acoustics. 615 24$aUser Interfaces and Human Computer Interaction. 615 24$aComputer Appl. in Social and Behavioral Sciences. 676 $a006.45 676 $a006.45 700 $aChristensen$b Mads G$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763510 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910337627103321 996 $aIntroduction to Audio Processing$92105804 997 $aUNINA