AREUS: A Software Framework for ATLAS Readout Electronics Upgrade Simulation

The design of readout electronics for the LAr calorimeters of the ATLAS detector to be operated at the future High-Luminosity LHC (HL-LHC) requires a detailed simulation of the full readout chain in order to find optimal solutions for the analog and digital processing of the detector signals. Due to the long duration of the LAr calorimeter pulses relative to the LHC bunch crossing time, out-of-time signal pileup needs to be taken into account. For this purpose, the simulation framework AREUS has been developed. It models analog-to-digital conversion, gain selection, and digital signal processing at bit precision, including digitization noise and detailed electronics effects. Trigger and object reconstruction algorithms are taken into account in the optimization process. The software implementation of AREUS, the concepts of its main functional blocks, as well as optimization considerations will be presented. Various approaches to introduce parallelism into AREUS will be compared against each other.

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Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Signals

Digital Signal Processing ◽

10.1016/b978-0-12-815071-9.00011-7 ◽

2019 ◽

pp. 529-590

Author(s):

Lizhe Tan ◽

Jean Jiang

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Digital Signal ◽

Digital Conversion ◽

Analog To Digital ◽

Analog To Digital Conversion ◽

Bandpass Signals

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Analog to Digital Converters (ADC): A Literature Review

E3S Web of Conferences ◽

10.1051/e3sconf/202018401025 ◽

2020 ◽

Vol 184 ◽

pp. 01025

Author(s):

Hemlata Dalmia ◽

Sanjeet K. Sinha

Keyword(s):

Signal Processing ◽

Low Power ◽

Communication Technology ◽

High Performance ◽

Reducing Power ◽

Digital Signal ◽

Analog To Digital Converters ◽

Analog To Digital ◽

Cmos Scaling ◽

Analog To Digital Conversion

The signal processing is advancing day by day as its needs and in wireline/wireless communication technology from 2G to 4G cellular communication technology with CMOS scaling process. In this context the high-performance ADCs, analog to digital converters have snatched the attention in the field of digital signal processing. The primary emphasis is on low power approaches to circuits, algorithms and architectures that apply to wireless systems. Different techniques are used for reducing power consumption by using low power supply, reduced threshold voltage, scaling of transistors, etc. In this paper, we have discussed the different types and different techniques used for analog to digital conversion of signals considering several parameters.

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A review: algorithm used for beam forming systems

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i1.2.8991 ◽

2017 ◽

Vol 7 (1.2) ◽

pp. 58

Author(s):

Soma Pal ◽

Azazul Haque

Keyword(s):

Signal Processing ◽

High Performance ◽

Smart Antenna ◽

Digital Signal ◽

Beam Forming ◽

Phased Array Antenna ◽

Analog To Digital ◽

Analog To Digital Conversion ◽

Weight Calculation ◽

Processing Techniques

Wireless communication uses a smart antenna to provide better coverage and capacity for the communication system. Main functions performed by the smart antenna are Direction of Arrival estimation (DOA) and beamforming (DBF). The beam forming is signal processing techniques which combine antenna array technology with high-performance up/down-conversion, analog to digital conversion and digital signal processing to provide receivers with very high spatial selectivity. This paper evaluates non-blind algorithm such as LMS, to compute the weight calculation for phased array antenna using Matlab Simulink.

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Working with Audio

Max/MSP/Jitter for Music ◽

10.1093/oso/9780199777679.003.0017 ◽

2011 ◽

Author(s):

V. J Manzo

Keyword(s):

Audio Signal ◽

Digital Signal ◽

Recording System ◽

Analog Signal ◽

Harmonic Series ◽

Audio Signals ◽

Sound Card ◽

Microphone Signal ◽

Analog To Digital ◽

Analog To Digital Conversion

In this chapter, we will discuss MSP, a collection of objects that work with audio signals. Unlike the Max objects we’ve discussed so far that handled data like numbers (including MIDI) and text, the MSP objects can handle actual sound recordings, like audio from a microphone, as well as generate signals. As we will see, MSP objects have a ~ after their name and slightly different colored patch cords signifying that they are handling some sort of audio signal. By the end of this chapter, you will be able to get a microphone signal in and out of Max, generate timbre according to the harmonic series, and build your very own synthesizer from that timbre. Let’s begin by building a basic patch that takes input from a microphone and sends it out to your speakers. Your computer is a digital device; you, as I hope you know, are not. Your voice is an acoustic instrument which, in the early days of recording, used to be recorded using analog recording techniques to represent qualities of the acoustic instrument. In order for your voice to be recorded and represented by a computer, there needs to be some conversion of the analog signal to a digital signal. For this reason, your computer’s sound card has an analog to digital converter, otherwise known as an A to D converter or, simply an ADC. Depending on the type of sound card you have, some AD converters will do a better job than others of supplying enough digits to represent the analog sound being recorded. Think about it like this: if you were allowed 50 words to describe your favorite food, the description would be a lot more articulate than if you had only 15 words to describe your favorite food. In the same regard, in a digital recording system, the more digits you have to represent the analog signal you are recording, the closer the representation will be to the original source you can hear with your ears. For now, we will leave this discussion of analog to digital conversion.

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Multirate Digital Signal Processing, Oversampling of Analog-to-Digital Conversion, and Undersampling of Bandpass Signals

Digital Signal Processing ◽

10.1016/b978-0-12-415893-1.00012-3 ◽

2013 ◽

pp. 555-619

Author(s):

Li Tan ◽

Jean Jiang

Keyword(s):

Signal Processing ◽

Digital Signal Processing ◽

Digital Signal ◽

Digital Conversion ◽

Analog To Digital ◽

Analog To Digital Conversion ◽

Bandpass Signals

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Design and validation of an e-textile-based wearable system for remote health monitoring

ACTA IMEKO ◽

10.21014/acta_imeko.v10i2.912 ◽

2021 ◽

Vol 10 (2) ◽

pp. 220

Author(s):

Armando Coccia ◽

Federica Amitrano ◽

Leandro Donisi ◽

Giuseppe Cesarelli ◽

Gaetano Pagano ◽

...

Keyword(s):

Signal Processing ◽

Clinical Status ◽

Digital Signal ◽

Digital Processing ◽

Time Signal ◽

The Novel ◽

Custom Made ◽

Trunk Acceleration ◽

Clinical Environments ◽

Remote Health

<p class="Abstract">The paper presents a new e-textile-based system, named SWEET Shirt, for the remote monitoring of biomedical signals. The system includes a textile sensing shirt, an electronic unit for data transmission, a custom-made Android application for real-time signal visualisation and a software desktop for advanced digital signal processing. The device allows for the acquisition of electrocardiographic, bicep electromyographic and trunk acceleration signals. The sensors, electrodes, and bus structures are all integrated within the textile garment, without any discomfort for users. A wide-ranging set of algorithms for signal processing were also developed for use within the system, allowing clinicians to rapidly obtain a complete and schematic overview of a patient’s clinical status. The aim of this work was to present the design and development of the device and to provide a validation analysis of the electrocardiographic measurement and digital processing. The results demonstrate that the information contained in the signals recorded by the novel system is comparable to that obtained via a standard medical device commonly used in clinical environments. Similarly encouraging results were obtained in the comparison of the variables derived from the signal processing.</p>

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