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Books on the topic 'Test signal generation'

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Author: Grafiati

Published: 7 July 2024

Last updated: 7 July 2024

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1

Critchlow, E. A. J. Automatic generation of mixed-signal test programs. Manchester: UMIST, 1997.

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2

Roberts, Gordon W., and Albert K. Lu. Analog Signal Generation for Built-In-Self-Test of Mixed-Signal Integrated Circuits. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2341-3.

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3

Roberts, Gordon W. Analog Signal Generation for Built-In-Self-Test of Mixed-Signal Integrated Circuits. Boston, MA: Springer US, 1995.

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4

Roberts, Gordon W. Analog signal generation for built-in-self-test of mixed-signal integrated circuits. Boston: Kluwer Academic Publishers, 1995.

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5

Dufort, Benoit, and Gordon W. Roberts. Analog Test Signal Generation Using Periodic ΣΔ-Encoded Data Streams. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4377-0.

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6

Diamant, P. E. Automatic generation of mixed signal test programs from circuitsimulation data. Manchester: UMIST, 1994.

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7

Dufort, Benoit. Analog test signal generation using periodic [sigma delta]-encoded data streams. Boston: Kluwer Academic, 2000.

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8

Dufort, Benoit. Analog test signal generation using periodic [sigma delta]-encoded data streams. New York: Springer Science+Business Media, 2000.

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9

Alani, Alaa Fadhil. A steady-state response test generation technique for mixed-signal integrated circuits. Uxbridge: Brunel University, 1993.

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10

Gimpilevich, Yuriy. Signals and processes in radio electronics. ru: INFRA-M Academic Publishing LLC., 2024. http://dx.doi.org/10.12737/1852258.

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Abstract:

Each chapter of the textbook presents the relevant theoretical sections of the discipline “Signals and Processes in Radio Electronics”, provides examples of problem solving and test questions. Meets the requirements of the latest generation Federal State Educational Standard. For students and graduate students of higher educational institutions of radio-electronic and telecommunications areas and specialties.

11

Man'kovskaya, Zoya. English language for technical colleges. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1033835.

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The textbook is designed to develop students ' skills of analytical, viewing and search reading of General scientific texts, retelling texts based on reference signals, as well as to form grammatical and lexical competencies, the ability to participate in a dialogue on the topic studied, extract information to discuss issues related to the history and current state of physics, biology, computer science, innovation and other areas of knowledge necessary for a modern specialist. It includes a basic course, a grammar workshop, lesson tests, and final tests. Current scientific and technical problems that are widely discussed in the world information space are revealed, which allows the student to maintain a dialogue on current topics of modern science and technology. Meets the requirements of the Federal state educational standards of higher education of the latest generation. For first-and second-year students of technical universities of any orientation.

12

Choi, Sanghoon. Signal source generation for mixed-signal embedded test structures. 2004.

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13

Roberts, Gordon W., and Albert K. Lu. Analog Signal Generation for Built-In-Self-Test of Mixed-Signal Integrated Circuits. Springer, 2011.

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14

Roberts, G. W., and Benoit Dufort. Analog Test Signal Generation Using Periodic S-Encoded Data Streams (The Kluwer International Series in Engineering and Computer Science Volume 591) (The ... Series in Engineering and Computer Science). Springer, 2000.

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15

Wendling, Fabrice, and Fernando H. Lopes da Silva. Dynamics of EEGs as Signals of Neuronal Populations. Edited by Donald L. Schomer and Fernando H. Lopes da Silva. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228484.003.0003.

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This chapter gives an overview of approaches used to understand the generation of electroencephalographic (EEG) signals using computational models. The basic concept is that appropriate modeling of neuronal networks, based on relevant anatomical and physiological data, allows researchers to test hypotheses about the nature of EEG signals. Here these models are considered at different levels of complexity. The first level is based on single cell biophysical properties anchored in classic Hodgkin-Huxley theory. The second level emphasizes on detailed neuronal networks and their role in generating different kinds of EEG oscillations. At the third level are models derived from the Wilson-Cowan approach, which constitutes the backbone of neural mass models. Another part of the chapter is dedicated to models of epileptiform activities. Finally, the themes of nonlinear dynamic systems and topological models in EEG generation are discussed.

16

Dutoit, Thierry, and Yannis Stylianou. Text-to-Speech Synthesis. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0017.

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This article gives an introduction to state-of-the-art text-to-speech (TTS) synthesis systems, showing both the natural language processing and the digital signal processing problems involved. Text-to-speech (TTS) synthesis is the art of designing talking machines. The article begins with brief user-oriented description of a general TTS system and comments on its commercial applications. It then gives a functional diagram of a modern TTS system, highlighting its components. It describes its morphosyntactic module. Furthermore, it examines why sentence-level phonetization cannot be achieved by a sequence of dictionary look-ups, and describes possible implementations of the phonetizer. Finally, the article describes prosody generation, outlining how intonation and duration can approximately be computed from text. Prosody refers to certain properties of the speech signal, which are related to audible changes in pitch, loudness, and syllable length. This article also introduces the two main existing categories of techniques for waveform generation: synthesis by rule and concatenative synthesis.

17

Buchner, Helmut. Evoked potentials. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199688395.003.0015.

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Evoked potentials (EPs) occur in the peripheral and the central nervous system. The low amplitude signals are extracted from noise by averaging multiple time epochs time-locked to a sensory stimulus. The mechanisms of generation, the techniques for stimulation and recording are established. Clinical applications provide robust information to various questions. The importance of EPs is to measure precisely the conduction times within the stimulated sensory system. Visual evoked potentials to a pattern reversal checker board stimulus are commonly used to evaluate the optic nerve. Auditory evoked potentials following ‘click’ stimuli delivered by a headset are most often used to test the auditory nerve and for prognostication in comatose patients. Somatosensory evoked potentials to electrical stimulation of distal nerves evaluate the peripheral nerve and the lemniscal system, and have various indications from demyelinating diseases to the monitoring of operations and prognosis of comatose patients.

18

Dirzu, Dan, Ovidiu Palea, and Sarah Choxi. Postoperative Abdominal Wall Pain. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190271787.003.0028.

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Abdominal pain accounts for almost 1.5% of office visits and nearly 5% of emergency department admissions each year in the United States. In 2% to 3% of patients with chronic abdominal pain, the pain arises from the abdominal wall. Postoperative abdominal wall pain is chronic, unremitting pain unaffected by eating or bowel function but exacerbated by postural change. A localized, tender trigger point can be identified, although pain may radiate over a diffuse area of the abdomen. Thorough history and physical examination can distinguish abdominal wall pain from visceral intra-abdominal pain. A positive Carnett’s sign favors an abdominal wall pain generator and not a visceral source. Injection with a local anesthetic and steroid at the area of pain may provide relief and can function also as a diagnostic test for abdominal wall pain. Refractory pain may be treated with chemical neurolysis, radiofrequency ablation, peripheral nerve stimulators, or neurectomy.