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Biblioteca

MARC Lista (tabellare)
Private equity firms : their role in the formation of strategic alliances / / Kirsten Burkhardt
Private equity firms : their role in the formation of strategic alliances / / Kirsten Burkhardt
Autore Burkhardt Kirsten
Edizione [1st edition]
Pubbl/distr/stampa London : , : ISTE Ltd
Descrizione fisica 1 online resource (423 pages)
Disciplina 658.044
Collana Innovation, entrepreneurship and management series
Soggetto topico Strategic alliances (Business) - United States
ISBN 1-119-50874-6
1-119-54961-2
1-119-54964-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910827194103321
Burkhardt Kirsten  
London : , : ISTE Ltd
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Productive economy, contributory economy : governance tools for the third millennium / / Genevieve Bouche
Productive economy, contributory economy : governance tools for the third millennium / / Genevieve Bouche
Autore Bouche Geneviève
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Descrizione fisica 1 online resource (299 pages)
Disciplina 330
Soggetto topico Economic history
ISBN 1-119-98837-3
1-119-98835-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580257803321
Bouche Geneviève  
Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Productive economy, contributory economy : governance tools for the third millennium / / Genevieve Bouche
Productive economy, contributory economy : governance tools for the third millennium / / Genevieve Bouche
Autore Bouche Geneviève
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Descrizione fisica 1 online resource (299 pages)
Disciplina 330
Soggetto topico Economics
ISBN 1-119-98837-3
1-119-98835-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910678110003321
Bouche Geneviève  
Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Reliability of nuclear power plants / / edited by André Lannoy
Reliability of nuclear power plants / / edited by André Lannoy
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Descrizione fisica 1 online resource (300 pages)
Disciplina 621.481
Soggetto topico Nuclear power plants - Risk assessment
ISBN 1-394-16548-X
1-394-16546-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910830186703321
Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Research methodology in education and training : postures, practices and forms / / Carole Daverne-Bailly, Richard Wittorski
Research methodology in education and training : postures, practices and forms / / Carole Daverne-Bailly, Richard Wittorski
Autore Daverne-Bailly Carole
Pubbl/distr/stampa Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Descrizione fisica 1 online resource (195 pages)
Disciplina 658.4012072
Soggetto topico Strategic planning
Research - Methodology
ISBN 1-394-16381-9
1-394-16379-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910677922203321
Daverne-Bailly Carole  
Hoboken, New Jersey : , : John Wiley and Sons Inc, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (308 p.)
Disciplina 621.3822
Altri autori (Persone) OuahabiAbdeldjalil
CastaniéFrancis
Collana Digital signal and image processing series
Soggetto topico Signal processing
Image processing
ISBN 1-118-56876-1
1-118-56859-1
1-118-56866-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Introduction to Multiresolution Analysis; 1.1. Introduction; 1.2. Wavelet transforms: an introductory review; 1.2.1. Brief history; 1.2.2. Continuous wavelet transforms; 1.2.2.1. Wavelet transform modulus maxima; 1.2.2.2. Reconstruction; 1.2.3. Discrete wavelet transforms; 1.3. Multiresolution; 1.3.1. Multiresolution analysis and wavelet bases; 1.3.1.1. Approximation spaces; 1.3.1.2. Detail spaces; 1.3.2. Multiresolution analysis: points to remember; 1.3.3. Decomposition and reconstruction
1.3.3.1. Calculation of coefficients1.3.3.2. Implementation of MRA: Mallat algorithm; 1.3.3.3. Extension to images; 1.3.4. Wavelet packets; 1.3.5. Multiresolution analysis summarized; 1.4. Which wavelets to choose?; 1.4.1. Number of vanishing moments, regularity, support (compactness), symmetry, etc.; 1.4.2. Well-known wavelets, scaling functions and associated filters; 1.4.2.1. Haar wavelet; 1.4.2.2. Daubechies wavelets; 1.4.2.3. Symlets; 1.4.2.4. Coiflets; 1.4.2.5. Meyer wavelets; 1.4.2.6. Polynomial spline wavelets; 1.5. Multiresolution analysis and biorthogonal wavelet bases
1.5.1. Why biorthogonal bases?1.5.2. Multiresolution context; 1.5.3. Example of biorthogonal wavelets, scaling functions and associated filters; 1.5.4. The concept of wavelet lifting; 1.5.4.1. The notion of lifting; 1.5.4.2. Significance of structure lifting; 1.6. Wavelet choice at a glance; 1.6.1. Regularity; 1.6.2. Vanishing moments; 1.6.3. Other criteria; 1.6.4. Conclusion; 1.7. Worked examples; 1.7.1. Examples of multiresolution analysis; 1.7.2. Compression; 1.7.3. Denoising (reduction of noise); 1.8. Some applications; 1.8.1. Discovery and contributions of wavelets
1.8.2. Biomedical engineering1.8.2.1. ECG, EEG and BCI; 1.8.2.2. Medical imaging; 1.8.3. Telecommunications; 1.8.3.1. Adaptive compression for sensor networks; 1.8.3.2. Masking image encoding and transmission errors; 1.8.3.3. Suppression of correlated noise; 1.8.4. "Compressive sensing", ICA, PCA and MRA; 1.8.4.1. Principal component analysis; 1.8.4.2. Independent component analysis; 1.8.4.3. Compressive sensing; 1.8.5. Conclusion; 1.9. Bibliography; Chapter 2. Discrete Wavelet Transform-Based Multifractal Analysis; 2.1. Introduction; 2.1.1. Fractals and wavelets: a happy marriage?
2.1.2. Background2.1.3. Mono/multifractal processes; 2.1.4. Chapter outline; 2.2. Fractality, variability and complexity; 2.2.1. System complexity; 2.2.2. Complex phenomena properties; 2.2.2.1. Tendency of autonomous agents to self-organize; 2.2.2.2. Variability and adaptability; 2.2.2.3. Bifurcation concept and chaotic model; 2.2.2.4. Hierarchy and scale invariance; 2.2.2.5. Self-organized critical phenomena; 2.2.2.6. Highly optimized tolerance; 2.2.3. Fractality; 2.3. Multifractal analysis; 2.3.1. Point-wise regularity; 2.3.2. Hölder exponent
2.3.3. Signal classification according to the regularity properties
Record Nr. UNINA-9910141495903321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (308 p.)
Disciplina 621.3822
Altri autori (Persone) OuahabiAbdeldjalil
CastaniéFrancis
Collana Digital signal and image processing series
Soggetto topico Signal processing
Image processing
ISBN 1-118-56876-1
1-118-56859-1
1-118-56866-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Introduction to Multiresolution Analysis; 1.1. Introduction; 1.2. Wavelet transforms: an introductory review; 1.2.1. Brief history; 1.2.2. Continuous wavelet transforms; 1.2.2.1. Wavelet transform modulus maxima; 1.2.2.2. Reconstruction; 1.2.3. Discrete wavelet transforms; 1.3. Multiresolution; 1.3.1. Multiresolution analysis and wavelet bases; 1.3.1.1. Approximation spaces; 1.3.1.2. Detail spaces; 1.3.2. Multiresolution analysis: points to remember; 1.3.3. Decomposition and reconstruction
1.3.3.1. Calculation of coefficients1.3.3.2. Implementation of MRA: Mallat algorithm; 1.3.3.3. Extension to images; 1.3.4. Wavelet packets; 1.3.5. Multiresolution analysis summarized; 1.4. Which wavelets to choose?; 1.4.1. Number of vanishing moments, regularity, support (compactness), symmetry, etc.; 1.4.2. Well-known wavelets, scaling functions and associated filters; 1.4.2.1. Haar wavelet; 1.4.2.2. Daubechies wavelets; 1.4.2.3. Symlets; 1.4.2.4. Coiflets; 1.4.2.5. Meyer wavelets; 1.4.2.6. Polynomial spline wavelets; 1.5. Multiresolution analysis and biorthogonal wavelet bases
1.5.1. Why biorthogonal bases?1.5.2. Multiresolution context; 1.5.3. Example of biorthogonal wavelets, scaling functions and associated filters; 1.5.4. The concept of wavelet lifting; 1.5.4.1. The notion of lifting; 1.5.4.2. Significance of structure lifting; 1.6. Wavelet choice at a glance; 1.6.1. Regularity; 1.6.2. Vanishing moments; 1.6.3. Other criteria; 1.6.4. Conclusion; 1.7. Worked examples; 1.7.1. Examples of multiresolution analysis; 1.7.2. Compression; 1.7.3. Denoising (reduction of noise); 1.8. Some applications; 1.8.1. Discovery and contributions of wavelets
1.8.2. Biomedical engineering1.8.2.1. ECG, EEG and BCI; 1.8.2.2. Medical imaging; 1.8.3. Telecommunications; 1.8.3.1. Adaptive compression for sensor networks; 1.8.3.2. Masking image encoding and transmission errors; 1.8.3.3. Suppression of correlated noise; 1.8.4. "Compressive sensing", ICA, PCA and MRA; 1.8.4.1. Principal component analysis; 1.8.4.2. Independent component analysis; 1.8.4.3. Compressive sensing; 1.8.5. Conclusion; 1.9. Bibliography; Chapter 2. Discrete Wavelet Transform-Based Multifractal Analysis; 2.1. Introduction; 2.1.1. Fractals and wavelets: a happy marriage?
2.1.2. Background2.1.3. Mono/multifractal processes; 2.1.4. Chapter outline; 2.2. Fractality, variability and complexity; 2.2.1. System complexity; 2.2.2. Complex phenomena properties; 2.2.2.1. Tendency of autonomous agents to self-organize; 2.2.2.2. Variability and adaptability; 2.2.2.3. Bifurcation concept and chaotic model; 2.2.2.4. Hierarchy and scale invariance; 2.2.2.5. Self-organized critical phenomena; 2.2.2.6. Highly optimized tolerance; 2.2.3. Fractality; 2.3. Multifractal analysis; 2.3.1. Point-wise regularity; 2.3.2. Hölder exponent
2.3.3. Signal classification according to the regularity properties
Record Nr. UNINA-9910830486403321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Signal and image multiresolution analysis [[electronic resource] /] / edited by Abdeljalil Ouahabi ; series editor, Francis Castanié
Pubbl/distr/stampa London, : ISTE
Descrizione fisica 1 online resource (308 p.)
Disciplina 621.3822
Altri autori (Persone) OuahabiAbdeldjalil
CastaniéFrancis
Collana Digital signal and image processing series
Soggetto topico Signal processing
Image processing
ISBN 1-118-56876-1
1-118-56859-1
1-118-56866-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright Page; Table of Contents; Introduction; Chapter 1. Introduction to Multiresolution Analysis; 1.1. Introduction; 1.2. Wavelet transforms: an introductory review; 1.2.1. Brief history; 1.2.2. Continuous wavelet transforms; 1.2.2.1. Wavelet transform modulus maxima; 1.2.2.2. Reconstruction; 1.2.3. Discrete wavelet transforms; 1.3. Multiresolution; 1.3.1. Multiresolution analysis and wavelet bases; 1.3.1.1. Approximation spaces; 1.3.1.2. Detail spaces; 1.3.2. Multiresolution analysis: points to remember; 1.3.3. Decomposition and reconstruction
1.3.3.1. Calculation of coefficients1.3.3.2. Implementation of MRA: Mallat algorithm; 1.3.3.3. Extension to images; 1.3.4. Wavelet packets; 1.3.5. Multiresolution analysis summarized; 1.4. Which wavelets to choose?; 1.4.1. Number of vanishing moments, regularity, support (compactness), symmetry, etc.; 1.4.2. Well-known wavelets, scaling functions and associated filters; 1.4.2.1. Haar wavelet; 1.4.2.2. Daubechies wavelets; 1.4.2.3. Symlets; 1.4.2.4. Coiflets; 1.4.2.5. Meyer wavelets; 1.4.2.6. Polynomial spline wavelets; 1.5. Multiresolution analysis and biorthogonal wavelet bases
1.5.1. Why biorthogonal bases?1.5.2. Multiresolution context; 1.5.3. Example of biorthogonal wavelets, scaling functions and associated filters; 1.5.4. The concept of wavelet lifting; 1.5.4.1. The notion of lifting; 1.5.4.2. Significance of structure lifting; 1.6. Wavelet choice at a glance; 1.6.1. Regularity; 1.6.2. Vanishing moments; 1.6.3. Other criteria; 1.6.4. Conclusion; 1.7. Worked examples; 1.7.1. Examples of multiresolution analysis; 1.7.2. Compression; 1.7.3. Denoising (reduction of noise); 1.8. Some applications; 1.8.1. Discovery and contributions of wavelets
1.8.2. Biomedical engineering1.8.2.1. ECG, EEG and BCI; 1.8.2.2. Medical imaging; 1.8.3. Telecommunications; 1.8.3.1. Adaptive compression for sensor networks; 1.8.3.2. Masking image encoding and transmission errors; 1.8.3.3. Suppression of correlated noise; 1.8.4. "Compressive sensing", ICA, PCA and MRA; 1.8.4.1. Principal component analysis; 1.8.4.2. Independent component analysis; 1.8.4.3. Compressive sensing; 1.8.5. Conclusion; 1.9. Bibliography; Chapter 2. Discrete Wavelet Transform-Based Multifractal Analysis; 2.1. Introduction; 2.1.1. Fractals and wavelets: a happy marriage?
2.1.2. Background2.1.3. Mono/multifractal processes; 2.1.4. Chapter outline; 2.2. Fractality, variability and complexity; 2.2.1. System complexity; 2.2.2. Complex phenomena properties; 2.2.2.1. Tendency of autonomous agents to self-organize; 2.2.2.2. Variability and adaptability; 2.2.2.3. Bifurcation concept and chaotic model; 2.2.2.4. Hierarchy and scale invariance; 2.2.2.5. Self-organized critical phenomena; 2.2.2.6. Highly optimized tolerance; 2.2.3. Fractality; 2.3. Multifractal analysis; 2.3.1. Point-wise regularity; 2.3.2. Hölder exponent
2.3.3. Signal classification according to the regularity properties
Record Nr. UNINA-9910840508603321
London, : ISTE
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Structural analysis 2 : statically indeterminate structures / / Salah Khalfallah
Structural analysis 2 : statically indeterminate structures / / Salah Khalfallah
Autore Khalfallah Salah
Pubbl/distr/stampa London : , : ISTE Ltd
Descrizione fisica 1 online resource (401 pages)
Disciplina 624.17102854
Soggetto topico Structural analysis (Engineering) - Computer programs
ISBN 1-119-55796-8
1-119-55797-6
1-119-55793-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910554840603321
Khalfallah Salah  
London : , : ISTE Ltd
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Systemic design methodologies for electrical energy systems [[electronic resource] ] : analysis, synthesis and management / / edited by Xavier Roboam
Systemic design methodologies for electrical energy systems [[electronic resource] ] : analysis, synthesis and management / / edited by Xavier Roboam
Pubbl/distr/stampa Hoboken, N.J., : ISTE Ltd., : John Wiley and Sons Inc, 2012
Descrizione fisica 1 online resource (392 p.)
Disciplina 621.3
Altri autori (Persone) RoboamXavier
Collana Electrical engineering series
Soggetto topico Electric power systems - Design and construction
Soggetto genere / forma Electronic books.
ISBN 1-118-56986-5
1-299-19036-7
1-118-56964-4
1-118-56967-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Systemic Design Methodologies for Electrical Energy Systems; Title Page; Copyright Page; Table of Contents; Preface; Chapter 1: Introduction to Systemic Design; 1.1. The system and the science of systems; 1.1.1. First notions of systems and systems theory; 1.1.2. A brief history of systems theory and the science of systems; 1.1.3. The science of systems and artifacts; 1.2. The model and the science of systems; 1.3. Energy systems: specific and shared properties; 1.3.1. Energy and its properties; 1.3.2. Entropy and quality of energy; 1.3.3. Consequences for energy systems
1.4. Systemic design of energy systems1.4.1. The context of systemic design in technology; 1.4.2. The design process: toward an integrated design; 1.5. Conclusion: what are the objectives for an integrated design of energyconversion systems?; 1.6. Glossary of systemic design; 1.7. Bibliography; Chapter 2: The Bond Graph Formalism for an Energetic and Dynamic Approach of the Analysis and Synthesis of Multiphysical Systems; 2.1. Summary of basic principles and elements of the formalism; 2.1.1. Basic elements; 2.1.2. The elementary phenomena; 2.1.3. The causality in bond graphs
2.2. The bond graph: an "interdisciplinary formalism"2.2.1. "Electro-electrical" conversion; 2.2.2. Electromechanical conversion; 2.2.3. Electrochemical conversion; 2.2.4. Example of a causal multiphysical model: the EHA actuator [GAN 07]; 2.3. The bond graph, tool of system analysis; 2.3.1. Analysis of models properties; 2.3.2. Linear time invariant models; 2.3.3. Simplification of models; 2.4. Design of systems by inversion of bond graph models; 2.4.1. Inverse problems associated with the design approach; 2.4.2. Inversion of systems modeled by bond graph
2.4.3. Example of application to design problems2.5. Bibliography; Chapter 3: Graphic Formalisms for the Control of Multi-Physical Energetic Systems: COG and EMR; 3.1. Introduction; 3.2. Which approach should be used for the control of an energetic system?; 3.2.1. Control of an energetic system; 3.2.2. Different approaches to the control of a system; 3.2.3. Modeling and control of an energetic system; 3.2.4. Toward the use of graphic formalisms of representation; 3.3. The causal ordering graph; 3.3.1. Description by COG; 3.3.2. Structure of control by inversion of the COG
3.3.3. Elementary example: control of a DC drive3.4. Energetic Macroscopic Representation; 3.4.1. Description by EMR; 3.4.2. Structure of control by inversion of an EMR; 3.4.3. Elementary example: control of an electrical vehicle; 3.5. Complementarity of the approaches and extensions; 3.5.1. Differences and complementarities; 3.5.2. Example: control of a paper band winder/unwinder; 3.5.3. Other applications and extensions; 3.6. Bibliography; Chapter 4: The Robustness: A New Approach for the Integration of Energetic Systems; 4.1. Introduction; 4.2. Control design of electrical systems
4.2.1. The control design is an issue of integration
Record Nr. UNINA-9910141502203321
Hoboken, N.J., : ISTE Ltd., : John Wiley and Sons Inc, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui