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Electronics for Physicists [[electronic resource] ] : An Introduction / / by Bryan H. Suits
| Electronics for Physicists [[electronic resource] ] : An Introduction / / by Bryan H. Suits |
| Autore | Suits Bryan H |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (340 pages) |
| Disciplina | 621.38102453 |
| Collana | Undergraduate Lecture Notes in Physics |
| Soggetto topico |
Electronic circuits
Physical chemistry Measurement Measuring instruments Quantum computers Electronic Circuits and Systems Physical Chemistry Measurement Science and Instrumentation Quantum Computing |
| ISBN | 3-031-36364-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The Basics -- Additional Theorems -- Complex Impedances -- More on Capacitors and Inductors -- The Laplace Transform -- Diodes -- FETs -- Bipolar Junction Transistors -- More on Amplifiers -- The Ideal Op-Amp -- Non-linear Uses of Op-Amps -- Digital I -- Digital II -- Calculators and Computers. |
| Record Nr. | UNINA-9910742489603321 |
Suits Bryan H
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing [[electronic resource] ] : Use Cases and Emerging Challenges / / edited by Sudeep Pasricha, Muhammad Shafique
| Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing [[electronic resource] ] : Use Cases and Emerging Challenges / / edited by Sudeep Pasricha, Muhammad Shafique |
| Autore | Pasricha Sudeep |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (571 pages) |
| Disciplina | 006.22 |
| Altri autori (Persone) | ShafiqueMuhammad |
| Soggetto topico |
Embedded computer systems
Electronic circuits Cooperating objects (Computer systems) Embedded Systems Electronic Circuits and Systems Cyber-Physical Systems |
| ISBN | 3-031-40677-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910760256003321 |
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Pasricha Sudeep
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing [[electronic resource] ] : Software Optimizations and Hardware/Software Codesign / / edited by Sudeep Pasricha, Muhammad Shafique
| Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing [[electronic resource] ] : Software Optimizations and Hardware/Software Codesign / / edited by Sudeep Pasricha, Muhammad Shafique |
| Autore | Pasricha Sudeep |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (481 pages) |
| Disciplina | 006.22 |
| Altri autori (Persone) | ShafiqueMuhammad |
| Soggetto topico |
Embedded computer systems
Electronic circuits Cooperating objects (Computer systems) Embedded Systems Electronic Circuits and Systems Cyber-Physical Systems |
| ISBN | 3-031-39932-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Acknowledgments -- Contents -- Part I Efficient Software Design for Embedded Machine Learning -- Machine Learning Model Compression for Efficient Indoor Localization on Embedded Platforms -- 1 Introduction -- 2 Background and Related Work -- 3 CHISEL Framework -- 3.1 Data Preprocessing and Augmentation -- 3.2 Network Architecture -- 3.3 Model Compression -- 4 Experiments -- 4.1 Evaluation on UJIIndoorLoc Dataset -- 4.2 Evaluation on Compression-Aware Training -- 5 Conclusion -- References -- A Design Methodology for Energy-Efficient Embedded Spiking Neural Networks -- 1 Introduction -- 1.1 Overview -- 1.2 Design Constraints for Embedded SNNs -- 2 Preliminaries -- 2.1 Spiking Neural Networks (SNNs) -- 2.2 Spike-Timing-Dependent Plasticity (STDP) -- 3 A Design Methodology for Embedded SNNs -- 3.1 Overview -- 3.2 Reduction of SNN Operations -- 3.3 Learning Enhancements -- 3.4 Weight Quantization -- 3.5 Evaluation of Memory and Energy Requirements -- 3.6 Employment of Approximate DRAM -- 4 Experimental Evaluations -- 4.1 Classification Accuracy -- 4.2 Reduction of Memory Requirement -- 4.3 Improvement of Energy Efficiency -- 4.4 Impact of Approximate DRAM -- 5 Conclusion -- References -- Compilation and Optimizations for Efficient Machine Learning on Embedded Systems -- 1 Introduction -- 2 Background and Related Works -- 2.1 Efficient DNN Designs -- 2.2 Efficient Accelerator Designs and DNN Mapping Methods -- 2.3 Efficient Co-Design Optimization -- 3 Efficient Machine Learning Model Designs -- 3.1 The ELB-NN -- 3.1.1 Hybrid Quantization Scheme -- 3.1.2 Hardware Accelerator for ELB-NN -- 3.2 The VecQ -- 3.2.1 Quantization with Vector Loss -- 3.2.2 Framework Integration -- 4 Efficient Accelerator Design and Workload Mapping -- 4.1 DNNBuilder -- 4.1.1 An End-to-end Automation Flow -- 4.1.2 Architecture Novelties.
4.1.3 State-of-the-art Performance -- 4.2 PyLog: A Python-Based FPGA Programming Flow -- 4.2.1 PyLog Flow Overview -- 4.2.2 PyLog Features -- 4.2.3 PyLog Evaluation Results -- 5 Efficient Optimizations -- 5.1 Overview of Hardware-aware Neural Architecture Search (NAS) -- 5.2 HW-Aware NAS Formulation -- 5.3 FPGA/DNN Co-Design -- 5.3.1 The Key to Co-Design: Bundle -- 5.3.2 Progressively Reducing Search Space -- 5.3.3 Evaluation Results -- 5.4 EDD: Efficient Differential DNN Architecture Search -- 5.4.1 Fused Co-Design Space -- 5.4.2 Differentiable Performance and Resource Formulation -- 5.4.3 State-of-the-art Results -- 6 Conclusion -- References -- A Pedestrian Detection Case Study for a Traffic Light Controller -- 1 Introduction -- 2 Related Work -- 2.1 Neural Networks for Pedestrian Detection -- 2.2 Pedestrian Detection on Embedded Systems -- 2.3 Quantization -- 3 Pedestrian Detection Use Case -- 4 Results -- 4.1 Experimentation Setup -- 4.2 No Constraints -- 4.3 Cost Constraints -- 4.4 Cost, Latency, and Precision Constraints -- 4.5 Effect of Resolution and Quantization -- 5 Conclusion -- References -- How to Train Accurate BNNs for Embedded Systems? -- 1 Introduction -- 2 Related Work -- 3 Background on BNNs -- 3.1 Inference -- 3.2 Training -- 4 Classification of Accuracy Repair Techniques -- 5 Overview of Accuracy Repair Techniques as Applied in the Literature -- 5.1 Training Techniques -- 5.1.1 Binarizer (STE) -- 5.1.2 Normalization -- 5.1.3 Teacher-Student -- 5.1.4 Regularization -- 5.1.5 Two-Stage Training -- 5.1.6 Optimizer -- 5.2 Network Topology Changing -- 5.2.1 Scaling Factor -- 5.2.2 Ensemble -- 5.2.3 Activation Function -- 5.2.4 Double Residual -- 5.2.5 Squeeze-and-Excitation -- 6 Empirical Review of Accuracy Repair Methods -- 6.1 Establishing the Design Space -- 6.2 Finding a Good Baseline BNN -- 6.3 Design Space Exploration. 6.3.1 Binarizer (STE) -- 6.3.2 Normalization -- 6.3.3 Scaling Factor -- 6.3.4 Two-Stage Training, Activation Function, and Double Residual -- 7 Discussion and Future Research -- 7.1 Accuracy Gap -- 7.2 Benefit and Cost of BNNs -- 8 Conclusion -- References -- Embedded Neuromorphic Using Intel's Loihi Processor -- 1 Introduction -- 2 Brain-Inspired Spiking Neural Networks -- 2.1 Spiking Neuron Models -- 2.2 Spike Coding Methods -- 2.3 SNN Learning Methods -- 3 Conventional Architectures vs. Neuromorphic Architectures -- 4 Event-Based Cameras -- 5 Applications and Datasets for Event-Based SNNs -- 6 The Loihi Architecture -- 6.1 Neuron Model -- 6.2 Chip Architecture -- 6.3 Second Generation: Loihi 2 -- 6.4 Tools to Support Loihi Developers -- 6.5 SOTA Results of Event-Based SNNs on Loihi -- 7 Case Study for Autonomous Vehicles: Car Detection with CarSNN -- 7.1 Problem Analysis and General Design Decisions -- 7.2 CarSNN Methodology -- 7.2.1 CarSNN Model Design -- 7.2.2 Parameters for Training -- 7.2.3 Parameters for Feeding the Input Data -- 7.3 Evaluation of CarSNN Implemented on Loihi -- 7.3.1 Experimental Setup -- 7.3.2 Accuracy Results for Offline Trained CarSNN -- 7.3.3 CarSNN Implemented on Loihi -- 7.3.4 Comparison with the State of the Art -- 8 Conclusion -- References -- Part II Hardware-Software Co-Design and Co-Optimizations for Embedded Machine Learning -- Machine Learning for Heterogeneous Manycore Design -- 1 Introduction -- 2 ML-Enabled 3D CPU/GPU-Based Heterogeneous Manycore Design -- 2.1 Related Prior Work -- 2.1.1 3D Heterogeneous Manycore Systems -- 2.1.2 Multi-Objective Optimization Algorithms -- 3 3D Heterogeneous Manycore Design Formulation -- 4 MOO-STAGE: ML-Enabled Manycore Design Framework -- 4.1 MOO-STAGE: Local Search -- 4.2 MOO-STAGE: Meta Search -- 5 Experimental Results -- 5.1 Experimental Setup. 5.2 Comparing the Different Algorithms -- 5.3 Comparison with Mesh NoC-Based Heterogeneous Manycore System -- 6 MOO-STAGE FOR M3D-Based Manycore Systems -- 6.1 MOO-STAGE for M3D Design -- 7 Conclusion -- References -- Hardware-Software Co-design for Ultra-Resource-Constrained Embedded Machine Learning Inference: A Printed Electronics Use Case -- 1 Introduction -- 2 Background on Printed Electronics -- 3 Preliminaries -- 4 Bespoke ML Classification Circuits -- 4.1 Resource-Aware ML Algorithm Selection -- 4.2 Bespoke Classifier Implementation -- 5 Co-Design for Approximate ML Classification Circuits -- 5.1 Approximate MLPs and SVMs -- 5.2 Approximate Decision Trees -- 6 Co-design for Stochastic Neural Network Circuits -- 6.1 Mixed-Signal Stochastic Neuron -- 6.2 Analog Stochastic SNG -- 6.3 Analog Stochastic Activation Function -- 6.4 Hardware-Driven Training -- 6.5 Mixed-Signal Stochastic Inference -- 7 Conclusion -- References -- Cross-Layer Optimizations for Efficient Deep Learning Inference at the Edge -- 1 Introduction -- 2 Preliminaries -- 3 DNN Optimization Techniques -- 3.1 Pruning -- 3.1.1 Fine-Grained Pruning -- 3.1.2 Course-Grained Pruning -- 3.2 Quantization -- 3.3 Knowledge Distillation -- 3.4 Neural Architecture Search -- 3.5 Hardware Approximations -- 4 Cross-Layer Optimization -- 4.1 Methodology -- 4.2 Structured Pruning -- 4.3 Quantization -- 4.4 Hardware-Level Approximations: Impact of Self-Healing and Non-Self-Healing Approximate Designs on DNN Accuracy -- 5 End-to-End System-Level Approximations -- 6 Conclusion -- References -- Co-designing Photonic Accelerators for Machine Learningon the Edge -- 1 Introduction -- 2 Background and Related Work -- 3 Noncoherent Photonic Computation Overview -- 4 CrossLight Architecture -- 4.1 MR Device Engineering and Fabrication -- 4.2 Tuning Circuit Design -- 4.3 Architecture Design. 4.3.1 Decomposing Vector Operations in CONV/FC Layers -- 4.3.2 Vector Dot Product (VDP) Unit Design -- 4.3.3 Optical Wavelength Reuse in VDP Units -- 5 Evaluation and Simulation Results -- 5.1 Simulation Setup -- 5.2 Results: CrossLight Resolution Analysis -- 5.3 Results: CrossLight Sensitivity Analysis -- 5.4 Results: Comparison with State-of-the-Art Accelerators -- 6 Conclusion -- References -- Hardware-Software Co-design of Deep Neural Architectures: From FPGAs and ASICs to Computing-in-Memories -- 1 Introduction -- 2 Hardware-Software Co-design with Neural Architecture Search -- 3 Hardware-Aware Neural Architecture Search for FPGA -- 3.1 Implementation of DNNs on FPGAs -- 3.2 Co-design Framework for FPGAs -- 3.2.1 Problem Statement and Solution -- 3.3 Experiments -- 3.3.1 Search Space Setup -- 3.4 Comparison Results with the Existing NAS Frameworks -- 3.5 Comparison Results with the Existing Architectures -- 3.6 Importance of Co-exploration -- 3.7 Concluding Remarks for NAS-F -- 4 Co-design of Neural Networks and ASICs -- 4.1 Problem Analysis for DNN-ASIC Co-design -- 4.1.1 Major Components -- 4.1.2 Problem Definition -- 4.2 Co-design Framework for ASIC -- 4.3 Experimental Evaluation -- 4.3.1 Evaluation Environment -- 4.4 Design Space Exploration -- 4.4.1 Results on Multiple Tasks for Multiple Datasets -- 4.5 Concluding Remarks for NASAIC -- 5 Co-design of Neural Networks and Computing-in-Memory Accelerators -- 5.1 Compute-in-Memory Neural Accelerators -- 5.1.1 Device and Its Variations -- 5.1.2 Crossbar Architecture -- 5.1.3 NeuroSIM -- 5.2 Problem Definition -- 5.3 Co-design Framework for CiM -- 5.4 Experiments and Results -- 5.4.1 Experiment Setup -- 5.4.2 Comparison Results to State-of-the-Art NAS -- 5.4.3 Results of Multi-Objective Optimization -- 5.5 Concluding Remarks for NACIM -- 6 Conclusions -- References. Hardware and Software Optimizations for Capsule Networks. |
| Record Nr. | UNINA-9910760275803321 |
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Pasricha Sudeep
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Design [[electronic resource] ] : A Survival Guide to Senior Capstone / / by Cory J. Mettler
| Engineering Design [[electronic resource] ] : A Survival Guide to Senior Capstone / / by Cory J. Mettler |
| Autore | Mettler Cory J. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (442 pages) |
| Disciplina | 620.0042 |
| Soggetto topico |
Electronic circuits
Engineering design Microprocessors Computer architecture Electronic Circuits and Systems Engineering Design Processor Architectures |
| ISBN | 3-031-23309-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to Senior Design -- Meeting your design team for the first time (How to run an effective meeting) -- Daily Documentation (Engineering Notebooks) -- The Initiation Phase -- The Planning Phase -- The Execution Phase -- The Closing Phase. |
| Record Nr. | UNINA-9910728952203321 |
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Mettler Cory J.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Mathematics by Example [[electronic resource] ] : Vol. III: Special Functions and Transformations / / by Robert Sobot
| Engineering Mathematics by Example [[electronic resource] ] : Vol. III: Special Functions and Transformations / / by Robert Sobot |
| Autore | Sobot Robert |
| Edizione | [2nd ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (226 pages) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Signal processing Engineering mathematics Electronic Circuits and Systems Signal, Speech and Image Processing Engineering Mathematics |
| ISBN | 3-031-41203-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic Number Theory -- Polynomials -- Linear Equations and Inequalities -- Exponential and Logarithmic Functions -- Trigonometry -- Complex Algebra -- Linear Algebra -- Limits -- Derivatives -- Function Analysis -- Integrals -- Multivariable Functions -- Complex Functions in Engineering and Science -- Differential Equations -- Special Functions -- Convolution Integral -- Series -- Discrete Convolution Sum -- Fourier Integral -- Discrete Fourier Integral. |
| Record Nr. | UNINA-9910763591003321 |
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Sobot Robert
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Mathematics by Example [[electronic resource] ] : Vol. II: Calculus / / by Robert Sobot
| Engineering Mathematics by Example [[electronic resource] ] : Vol. II: Calculus / / by Robert Sobot |
| Autore | Sobot Robert |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (511 pages) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Signal processing Engineering mathematics Electronic Circuits and Systems Signal, Speech and Image Processing Engineering Mathematics |
| ISBN | 3-031-41196-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic Number Theory -- Polynomials -- Linear Equations and Inequalities -- Exponential and Logarithmic Functions -- Trigonometry -- Complex Algebra -- Linear Algebra -- Limits -- Derivatives -- Function Analysis -- Integrals -- Multivariable Functions -- Complex Functions in Engineering and Science -- Differential Equations -- Special Functions -- Convolution Integral -- Series -- Discrete Convolution Sum -- Fourier Integral -- Discrete Fourier Integral. |
| Record Nr. | UNINA-9910763595003321 |
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Sobot Robert
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Engineering Mathematics by Example [[electronic resource] ] : Vol. I: Algebra and Linear Algebra / / by Robert Sobot
| Engineering Mathematics by Example [[electronic resource] ] : Vol. I: Algebra and Linear Algebra / / by Robert Sobot |
| Autore | Sobot Robert |
| Edizione | [2nd ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (313 pages) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
Signal processing Electronics Electronic Circuits and Systems Digital and Analog Signal Processing Electronics and Microelectronics, Instrumentation |
| ISBN | 3-031-41200-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic Number Theory -- Polynomials -- Linear Equations and Inequalities -- Exponential and Logarithmic Functions -- Trigonometry -- Complex Algebra -- Linear Algebra -- Limits -- Derivatives -- Function Analysis -- Integrals -- Multivariable Functions -- Complex Functions in Engineering and Science -- Differential Equations -- Special Functions -- Convolution Integral -- Series -- Discrete Convolution Sum -- Fourier Integral -- Discrete Fourier Integral. |
| Record Nr. | UNINA-9910763595503321 |
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Sobot Robert
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Essentials of C Programming with Microsoft® Visual Studio® [[electronic resource] /] / by Farzin Asadi
| Essentials of C Programming with Microsoft® Visual Studio® [[electronic resource] /] / by Farzin Asadi |
| Autore | Asadi Farzin |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (338 pages) |
| Disciplina | 621.3815 |
| Soggetto topico |
Electronic circuits
C++ (Computer program language) Electronics Electronic Circuits and Systems C++ Electronics and Microelectronics, Instrumentation |
| ISBN | 3-031-35711-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Installation of Microsoft® Visual Studio® -- Chapter 2 Basics of C Programming -- Chapter 3 Conditional Statements -- Chapter 4 Loops -- Chapter 5 Arrays -- Chapter 6 Functions -- Chapter 7 Some Useful Functions -- Chapter 8 Pointers -- Chapter 9 Structures and Unions -- Chapter 10 Mathematical Functions -- Chapter 11 String Processing -- Chapter 12 Character Processing -- Chapter 13 Time and Date -- Chapter 14 Sorting and Searching -- Chapter 15 File -- Chapter 16 Useful Functions to work with Files and Directories -- Chapter 17 Serial Communication -- Chapter 18 Graphical User Interface. |
| Record Nr. | UNINA-9910736026403321 |
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Asadi Farzin
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Foundations of Photography [[electronic resource] ] : A Treatise on the Technical Aspects of Digital Photography / / by George Pavlidis
| Foundations of Photography [[electronic resource] ] : A Treatise on the Technical Aspects of Digital Photography / / by George Pavlidis |
| Autore | Pavlidis George |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 775 |
| Soggetto topico |
Optics
Photography Signal processing Electronic circuits Optical materials Applied Optics Signal, Speech and Image Processing Electronic Circuits and Systems Optical Materials |
| ISBN |
9783031062520
9783031062513 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From vision to photography -- A brief history of photography -- A photography primer -- Technical aspects of photography -- The shutter -- The imaging sensor -- Digital post-processing. |
| Record Nr. | UNINA-9910616209303321 |
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Pavlidis George
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Foundations of Photography [[electronic resource] ] : A Treatise on the Technical Aspects of Digital Photography / / by George Pavlidis
| Foundations of Photography [[electronic resource] ] : A Treatise on the Technical Aspects of Digital Photography / / by George Pavlidis |
| Autore | Pavlidis George |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 775 |
| Soggetto topico |
Optics
Photography Signal processing Electronic circuits Optical materials Applied Optics Signal, Speech and Image Processing Electronic Circuits and Systems Optical Materials |
| ISBN |
9783031062520
9783031062513 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | From vision to photography -- A brief history of photography -- A photography primer -- Technical aspects of photography -- The shutter -- The imaging sensor -- Digital post-processing. |
| Record Nr. | UNISA-996495165103316 |
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Pavlidis George
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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