Author: Malis̆a Marijan Publisher: ISBN: Category : Languages : en Pages : 101
Book Description
"Delta-sigma A/D conversion is a popular technique used to achieve high resolution data conversion for low to moderate bandwidth applications. By sampling the analog signal at rates much higher than the Nyquist rate, the [delta sigma] A/D converters move most of the signal processing into the digital domain, which makes them less susceptible to analog component non-idealities. It is commonly accepted that the digital circuitry of the [delta sigma] A/D converters should perform a linear time-invariant filtering on the output of the [delta sigma] modulator in order to reconstruct the original signal. However, when the [delta sigma] converters are operated in conjunction with modulation sequences, such as in the parallel [delta sigma] ([pi delta sigma]) converters for high bandwidth applications, the signal reconstruction process becomes time-dependent. In this case, there is no general decoding strategy available for arbitrary numbers of parallel converters and types of modulation sequences. On the other hand, when [delta sigma] converters are operated at higher oversampling ratios (OSRs), the non-linear effects of the [delta sigma] modulators become more emphasized. At higher OSRs and orders of [delta sigma] modulators, non-linear reconstruction algorithms become more beneficial over linear decoding methods. In this work, we study time-varying and non-linear properties of [delta sigma] converters and develop two randomized iterative reconstruction algorithms. First, we design an iterative message passing algorithm on factor graphs for decoding [pi delta sigma] modulators. This approach allows the use of an arbitrary number of parallel paths and different types of modulation sequences, i.e., modulation with pseudo-random sequences. We demonstrate that [pi delta sigma] converters with random modulation sequences produce a spurious-free dynamic range. Second, we show that for higher OSR values, the non-linear reconstruction process can be seen as a linear feasibility problem (LFP). We describe how the LFP can be transformed in a well-conditioned problem and demonstrate the reconstruction process by using the surrogate constraint algorithm which employs random constraint selection. The new algorithm considers a small number of constraints at a time which makes it well suited for implementation on a single-processor unit"--Page v-vi.
Author: Visarath In Publisher: Springer ISBN: 3030108929 Category : Technology & Engineering Languages : en Pages : 330
Book Description
This book presents collaborative research presented by experts in the field of nonlinear science provides the reader with contemporary, cutting-edge, research works that bridge the gap between theory and device realizations of nonlinear phenomena. The conference provides a unique forum for applications of nonlinear systems while solving practical problems in science and engineering. Topics include: chaos gates, social networks, communication, sensors, lasers, molecular motors, biomedical anomalies, and stochastic resonance. This book provides a comprehensive report of the various research projects presented at the International Conference on Applications in Nonlinear Dynamics (ICAND 2018) held in Maui, Hawaii, 2018. It can be a valuable tool for scientists and engineering interested in connecting ideas and methods in nonlinear dynamics with actual design, fabrication and implementation of engineering applications or devices.
Author: Shanthi Pavan Publisher: John Wiley & Sons ISBN: 1119258278 Category : Technology & Engineering Languages : en Pages : 596
Book Description
This new edition introduces operation and design techniques for Sigma-Delta converters in physical and conceptual terms, and includes chapters which explore developments in the field over the last decade Includes information on MASH architectures, digital-to-analog converter (DAC) mismatch and mismatch shaping Investigates new topics including continuous-time ΔΣ analog-to-digital converters (ADCs) principles and designs, circuit design for both continuous-time and discrete-time ΔΣ ADCs, decimation and interpolation filters, and incremental ADCs Provides emphasis on practical design issues for industry professionals
Author: Arthur H.M. van Roermund Publisher: Springer Science & Business Media ISBN: 1461445876 Category : Technology & Engineering Languages : en Pages : 291
Book Description
This book is based on the 18 presentations during the 21st workshop on Advances in Analog Circuit Design. Expert designers provide readers with information about a variety of topics at the frontier of analog circuit design, including Nyquist analog-to-digital converters, capacitive sensor interfaces, reliability, variability, and connectivity. This book serves as a valuable reference to the state-of-the-art, for anyone involved in analog circuit research and development.
Author: Walt Kester Publisher: Newnes ISBN: 0750678410 Category : Computers Languages : en Pages : 977
Book Description
This complete update of a classic handbook originally created by Analog Devices and never previously published offers the most complete and up-to-date reference available on data conversion, from the world authority on the subject. It describes in depth the theory behind and the practical design of data conversion circuits. It describes the different architectures used in A/D and D/A converters - including many advances that have been made in this technology in recent years - and provides guidelines on which types are best suited for particular applications. It covers error characterization and testing specifications, essential design information that is difficult to find elsewhere. The book also contains a wealth of practical application circuits for interfacing and supporting A/D and D/A converters within an electronic system. In short, everything an electronics engineer needs to know about data converters can be found in this volume, making it an indispensable reference with broad appeal. The accompanying CD-ROM provides software tools for testing and analyzing data converters as well as a searchable pdf version of the text. * brings together a huge amount of information impossible to locate elsewhere. * many recent advances in converter technology simply aren't covered in any other book. * a must-have design reference for any electronics design engineer or technician
Author: James C. Candy Publisher: University of Texas Press ISBN: 9780879422851 Category : Technology & Engineering Languages : en Pages : 516
Book Description
This now famous anthology brings together various aspects of oversampling methods and compares and evaluates design approaches. It describes the theoretical analysis of converter performances, the actual design of converters and their simulation, circuit implementations, and applications.
Author: Otmar Scherzer Publisher: Springer Science & Business Media ISBN: 0387929193 Category : Mathematics Languages : en Pages : 1626
Book Description
The Handbook of Mathematical Methods in Imaging provides a comprehensive treatment of the mathematical techniques used in imaging science. The material is grouped into two central themes, namely, Inverse Problems (Algorithmic Reconstruction) and Signal and Image Processing. Each section within the themes covers applications (modeling), mathematics, numerical methods (using a case example) and open questions. Written by experts in the area, the presentation is mathematically rigorous. The entries are cross-referenced for easy navigation through connected topics. Available in both print and electronic forms, the handbook is enhanced by more than 150 illustrations and an extended bibliography. It will benefit students, scientists and researchers in applied mathematics. Engineers and computer scientists working in imaging will also find this handbook useful.
Author: Alexander M. Wyglinski Publisher: Artech House ISBN: 1630814598 Category : Technology & Engineering Languages : en Pages : 375
Book Description
Based on the popular Artech House classic, Digital Communication Systems Engineering with Software-Defined Radio, this book provides a practical approach to quickly learning the software-defined radio (SDR) concepts needed for work in the field. This up-to-date volume guides readers on how to quickly prototype wireless designs using SDR for real-world testing and experimentation. This book explores advanced wireless communication techniques such as OFDM, LTE, WLA, and hardware targeting. Readers will gain an understanding of the core concepts behind wireless hardware, such as the radio frequency front-end, analog-to-digital and digital-to-analog converters, as well as various processing technologies. Moreover, this volume includes chapters on timing estimation, matched filtering, frame synchronization message decoding, and source coding. The orthogonal frequency division multiplexing is explained and details about HDL code generation and deployment are provided. The book concludes with coverage of the WLAN toolbox with OFDM beacon reception and the LTE toolbox with downlink reception. Multiple case studies are provided throughout the book. Both MATLAB and Simulink source code are included to assist readers with their projects in the field.
Author: Thorben Quast Publisher: Springer Nature ISBN: 3030902021 Category : Science Languages : en Pages : 290
Book Description
In order to cope with the increased radiation level and the challenging pile-up conditions at High Luminosity-LHC, the CMS collaboration will replace its current calorimeter endcaps with the High Granularity Calorimeter (HGCAL) in the mid 2020s. This dissertation addresses two important topics related to the preparation of the HGCAL upgrade: experimental validation of its silicon- based design and fast simulation of its data. Beam tests at the DESY (Hamburg) and the CERN SPS beam test facilities in 2018 have been the basis for the design validation. The associated experimental infrastructure, the algorithms deployed in the reconstruction of the recorded data, as well as the respective analyses are reported in this thesis: First, core components of the silicon-based prototype modules are characterised and it is demonstrated that the assembled modules are functional. In particular, their efficiency to detect minimum ionising particles (MIPs) traversing the silicon sensors is found to be more than 98% for most of the modules. No indication of charge sharing between the silicon pads is observed. Subsequently, the energy response is calibrated in situ using the beam test data. Equalisation of the different responses among the readout channels is achieved with MIPs hereby deploying the HGCAL prototype as a MIP-tracking device. The relative variation of the inferred calibration constants amounts to 3% for channels on the same readout chip. The calibration of the time-of-arrival information is performed with an external time reference detector. With it, timing resolutions of single cells including the full prototype readout chain around 60ps in the asymptotic high energy limit are obtained. The calorimetric performance of the HGCAL prototype is validated with particle showers induced by incident positrons and charged pions. For electromagnetic showers, the constant term in the relative energy resolution is measured to be (0.52± 0.08) %, whereas the stochastic term amounts to (22.2 ± 0.3)% √GeV. This result is in good agreement with the calorimeter simulation with GEANT4. The prototype’s positioning resolution of the shower axis, after subtracting the contribution from the delay wire chambers in the beam line used as reference, is found to be below 0.4 mm at 300 GeV. At the same energy, the angular resolution in the reconstruction of the electromagnetic shower axis in this prototype is measured to be less than 5mrad. The analysis of the hadronic showers in this thesis makes use state-of-the- art machine-learning methods that exploit the calorimeter’s granularity. It is indicated that the energy resolution may be improved using software compensation and also that the separation of electromagnetic and charged pion-induced showers in the calorimeter may benefit from such methods. The measurements of the hadronic showers are adequately reproduced by GEANT4 simulation. Altogether, the obtained results from the analysis of the beam test data in this thesis are in agreement with the full functionality of the silicon-based HGCAL design. The final part of this thesis provides a proof of principle that generative modelling based on deep neural networks in conjunction with the Wasserstein distance is a suitable approach for the fast simulation of HGCAL data: Instead of sequential simulation, a deep neural network-based generative model generates all calorimeter energy depositions simultaneously. This genera t or network is optimised throu gh an adversarial training process using a critic network guided by the Wasserstein distance. The developed framework in this thesis is applied to both GEANT4- simulated electromagnetic showers and to positron data from the beam tests. Ultimately, this fast simulation approach is up to four orders of magnitude faster than sequential simulation with GEANT4. It is able to produce realistic calorimeter energy depositions from electromagnetic showers, incorporating their fluctuations and correlations when converted into typical calorimeter observables.
Author: Malis̆a Marijan
Author: Visarath In
Author: Shanthi Pavan
Author: Arthur H.M. van Roermund
Author: Hank Zumbahlen
Author: Walt Kester
Author: James C. Candy
Author: Otmar Scherzer
Author: Alexander M. Wyglinski
Author: Thorben Quast