LEADER 05741nam 2200745 a 450 001 9910144704603321 005 20170814181000.0 010 $a1-282-36540-1 010 $a9786612365409 010 $a0-470-28922-8 010 $a0-470-28921-X 035 $a(CKB)1000000000687467 035 $a(EBL)468585 035 $a(OCoLC)232612145 035 $a(SSID)ssj0000310065 035 $a(PQKBManifestationID)11229893 035 $a(PQKBTitleCode)TC0000310065 035 $a(PQKBWorkID)10303124 035 $a(PQKB)11279410 035 $a(MiAaPQ)EBC468585 035 $a(CaSebORM)9780471731887 035 $a(EXLCZ)991000000000687467 100 $a20080118d2008 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aSpectral logic and its applications for the design of digital devices$b[electronic resource] /$fMark G. Karpovsky, Radomir S. Stankovic, Jaakko T. Astola 205 $a1st edition 210 $aHoboken, N.J. $cWiley-Interscience$dc2008 215 $a1 online resource (642 p.) 300 $aDescription based upon print version of record. 311 $a0-471-73188-9 320 $aIncludes bibliographical references (p. 554-592) and index. 327 $aSPECTRAL LOGIC AND ITS APPLICATIONS FOR THE DESIGN OF DIGITAL DEVICES; CONTENTS; PREFACE; ACKNOWLEDGMENTS; LIST OF FIGURES; LIST OF TABLES; ACRONYMS; 1. LOGIC FUNCTIONS; 1.1 Discrete Functions; 1.2 Tabular Representations of Discrete Functions; 1.3 Functional Expressions; 1.4 Decision Diagrams for Discrete Functions; 1.4.1 Decision Trees; 1.4.2 Decision Diagrams; 1.4.3 Decision Diagrams for Multiple-Valued Functions; 1.5 Spectral Representations of Logic Functions; 1.6 Fixed-polarity Reed-Muller Expressions of Logic Functions; 1.7 Kronecker Expressions of Logic Functions 327 $a1.8 Circuit Implementation of Logic Functions2. SPECTRAL TRANSFORMS FOR LOGIC FUNCTIONS; 2.1 Algebraic Structures for Spectral Transforms; 2.2 Fourier Series; 2.3 Bases for Systems of Boolean Functions; 2.3.1 Basis Functions; 2.3.2 Walsh Functions; 2.3.2.1 Ordering of Walsh Functions; 2.3.2.2 Properties of Walsh Functions; 2.3.2.3 Hardware Implementations of Walsh Functions; 2.3.3 Haar Functions; 2.3.3.1 Ordering of Haar Functions; 2.3.3.2 Properties of Haar Functions; 2.3.3.3 Hardware Implementation of Haar Functions; 2.3.3.4 Hardware Implementation of the Inverse Haar Transform 327 $a2.4 Walsh Related Transforms2.4.1 Arithmetic Transform; 2.4.2 Arithmetic Expressions from Walsh Expansions; 2.5 Bases for Systems of Multiple-Valued Functions; 2.5.1 Vilenkin-Chrestenson Functions and Their Properties; 2.5.2 Generalized Haar Functions; 2.6 Properties of Discrete Walsh and Vilenkin-Chrestenson Transforms; 2.7 Autocorrelation and Cross-Correlation Functions; 2.7.1 Definitions of Autocorrelation and Cross-Correlation Functions; 2.7.2 Relationships to the Walsh and Vilenkin-Chrestenson Transforms, the Wiener-Khinchin Theorem; 2.7.3 Properties of Correlation Functions 327 $a2.7.4 Generalized Autocorrelation Functions2.8 Harmonic Analysis over an Arbitrary Finite Abelian Group; 2.8.1 Definition and Properties of the Fourier Transform on Finite Abelian Groups; 2.8.2 Construction of Group Characters; 2.8.3 Fourier-Galois Transforms; 2.9 Fourier Transform on Finite Non-Abelian Groups; 2.9.1 Representation of Finite Groups; 2.9.2 Fourier Transform on Finite Non-Abelian Groups; 3. CALCULATION OF SPECTRAL TRANSFORMS; 3.1 Calculation of Walsh Spectra; 3.1.1 Matrix Interpretation of the Fast Walsh Transform 327 $a3.1.2 Decision Diagram Methods for Calculation of Spectral Transforms3.1.3 Calculation of the Walsh Spectrum Through BDD; 3.2 Calculation of the Haar Spectrum; 3.2.1 FFT-Like Algorithms for the Haar Transform; 3.2.2 Matrix Interpretation of the Fast Haar Transform; 3.2.3 Calculation of the Haar Spectrum Through BDD; 3.3 Calculation of the Vilenkin-Chrestenson Spectrum; 3.3.1 Matrix Interpretation of the Fast Vilenkin-Chrestenson Transform; 3.3.2 Calculation of the Vilenkin-Chrestenson Transform Through Decision Diagrams; 3.4 Calculation of the Generalized Haar Spectrum 327 $a3.5 Calculation of Autocorrelation Functions 330 $aSpectral techniques facilitate the design and testingof today's increasingly complex digital devicesThere is heightened interest in spectral techniques for the design of digital devices dictated by ever increasing demands on technology that often cannot be met by classical approaches. Spectral methods provide a uniform and consistent theoretic environment for recent achievements in this area, which appear divergent in many other approaches. Spectral Logic and Its Applications for the Design of Digital Devices gives readers a foundation for further exploration of abstract harmon 606 $aLogic design$xMethodology 606 $aSpectrum analysis 606 $aDigital electronics$xMathematics 606 $aSignal processing$xMathematics 606 $aSpectral theory (Mathematics) 608 $aElectronic books. 615 0$aLogic design$xMethodology. 615 0$aSpectrum analysis. 615 0$aDigital electronics$xMathematics. 615 0$aSignal processing$xMathematics. 615 0$aSpectral theory (Mathematics) 676 $a621.39/5 676 $a621.395 700 $aKarpovsky$b Mark G$0857131 701 $aStankovic?$b Radomir S$0857132 701 $aAstola$b Jaakko$0857133 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910144704603321 996 $aSpectral logic and its applications for the design of digital devices$91913951 997 $aUNINA LEADER 05668nam 22006013 450 001 9911018936903321 005 20251214173758.0 010 $a9781394229802 010 $a1394229801 010 $a9781394229826 010 $a1394229828 010 $a9781394229819 010 $a139422981X 035 $a(CKB)37664407000041 035 $a(MiAaPQ)EBC31918885 035 $a(Au-PeEL)EBL31918885 035 $a(OCoLC)1500653627 035 $a(CaSebORM)9781394229796 035 $a(OCoLC)1503549873 035 $a(OCoLC-P)1503549873 035 $a(FI-CZ)9781394229802 035 $a(UkBuK)3336936 035 $a(EXLCZ)9937664407000041 100 $a20250227d2025 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence and Cybersecurity in Healthcare 205 $a1st ed. 210 1$cWiley$d2025 215 $a1 online resource (513 pages) 311 08$a9781394229796 311 08$a1394229798 327 $tSeries Page$t1 Digital Prescriptions for Improved Patient Care are Transforming Healthcare Through Voice-Based Technology$t2 Securing IoMT-Based Healthcare System: Issues, Challenges, and Solutions$t3 Fog Computing in Healthcare: Enhancing Security and Privacy in Distributed Systems$t4 Blockchain Technology for Securing Healthcare Data in Cyber-Physical Systems$t5 Augmented Reality and Virtual Reality in Healthcare: Advancements and Security Challenges$t6 Next Generation Healthcare: Leveraging AI for Personalized Diagnosis, Treatment, and Monitoring$t7 Exploring the Advantages and Security Aspects of Digital Twin Technology in Healthcare$t8 An Extensive Study of AI and Cybersecurity in Healthcare$t9 Cloud Computing in Healthcare: Risks and Security Measures$t10 Explainable Artificial Intelligence in Healthcare: Transparency and Trustworthiness$t11 Fuzzy Expert System to Diagnose the Heart Disease Risk Level$t12 Search and Rescue-Based Sparse Auto-Encoder for Detecting Heart Disease in IoT Healthcare Environment$t13 Growth Optimization-Based SBLRNN Model for Estimate Breast Cancer in IoT Healthcare Environment$t14 Lightweight Fuzzy Logical MQTT Security System to Secure the Low Configurated Medical Device System by Communicating the IoT$t15 IoT-Based Secured Biomedical Device to Remote Monitoring to the Patient$t16 Fuzzy Interface Drug Delivery Decision-Making Algorithm$t17 Implementation of Clinical Fuzzy-Based Decision Supportive System to Monitor Renal Function$t18 Deep Learning-Based Medical Image Classification and Web Application Framework to Identify Alzheimer's Disease$t19 Using Deep Learning to Classify and Diagnose Alzheimer's Disease$t20 Developing a Soft Computing Fuzzy Interface System for Peptic Ulcer Diagnosis$t21 Digital Twin Technology in Healthcare: Benefits and Security Considerations$t22 Combating Cyber Threats Including Wormhole Attacks in Healthcare Cyber-Physical Systems: Advanced Prevention and Mitigation Techniques$tAlso of Interest$tEnd User License Agreement 330 $aArtificial Intelligence and Cybersecurity in Healthcare provides a crucial exploration of AI and cybersecurity within healthcare Cyber Physical Systems (CPS), offering insights into the complex technological landscape shaping modern patient care and data protection. As technology advances, healthcare has transformed, particularly through the implementation of CPS that integrate the digital and physical worlds, enhancing system efficiency and effectiveness. This increased reliance on technology raises significant security concerns. The book addresses the integration of AI and cybersecurity in healthcare CPS, detailing technological advancements, applications, and the challenges they present. AI applications in healthcare CPS include remote patient monitoring, AI chatbots for patient assistance, and biometric authentication for data security. AI not only improves patient care and clinical decision-making by analyzing extensive data and optimizing treatment plans, but also enhances CPS security by detecting and responding to cyber threats. Nonetheless, AI systems are susceptible to attacks, emphasizing the need for robust cybersecurity. Significant issues include the privacy and security of sensitive healthcare data, potential identity theft, and medical fraud from data breaches, alongside ethical concerns such as algorithmic bias. As the healthcare industry becomes increasingly digital and data-driven, integrating AI and cybersecurity measures into CPS is essential. This requires collaboration among healthcare providers, tech vendors, regulatory bodies, and cybersecurity experts to develop best practices and standards. This book aims to provide a comprehensive understanding of AI, cybersecurity, and healthcare CPS. It explores technologies like augmented reality, blockchain, and the Internet of Things, addressing associated challenges like cybersecurity threats and ethical dilemmas. 606 $aArtificial intelligence$xMedical applications 606 $aComputer security$xHealth aspects 615 0$aArtificial intelligence$xMedical applications. 615 0$aComputer security$xHealth aspects. 676 $a610.285/63 700 $aAgrawal$b Rashmi$01785746 701 $aRathore$b Pramod Singh$01833323 701 $aDeverajan$b Ganesh Gopal$01840248 701 $aDivivedi$b Rajiva Ranjan$01840249 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911018936903321 996 $aArtificial Intelligence and Cybersecurity in Healthcare$94419772 997 $aUNINA