Measuring sampling

About the book

The book consists of three main parts. The first discusses the basic analog-digital conversion systems, such as: measuring amplifiers, analog commutators, sample / memory circuits as well as A / C and C / A converters, with particular emphasis on error analysis of these systems. The second one presents basic algorithms used to correct systematic, static and dynamic errors on the principle of reproduction. The third part contains a formal description of error propagation in the processing process and shows how you can build models of uncertainty propagation in analog-to-digital conversion paths with sampling of the measured quantity.

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Table of Contents

ADMISSION
1. INTRODUCTION
2. ANALOG-DIGITAL PROCESSING SYSTEMS
2.1. MEASURING AMPLIFIERS
2.1.1. Requirements for measuring amplifiers
2.1.2. Replacement circuit of the amplifier input circuit
2.1.3. The basic layout of the measuring amplifier
2.1.4. Transfer of common voltage through the basic amplifier
2.1.5. Standard measuring amplifier system
2.1.6. Examples of integrated measuring amplifiers
2.1.7. Parameters of measuring amplifiers
2.1.8. Noise amplifiers
2.1.9. Replacement diagram of the measuring amplifier
2.1.10. The use of S and R terminals of the measuring amplifier
2.1.11. Analysis of the influence of parasitic elements on common voltage attenuation
2.1.12. Screening of the measuring amplifier inputs
2.1.13. Elimination of common voltage from the input circuit of the amplifier
2.1.14. Polarization of measuring amplifier inputs
2.2. ANALOG COMMUNICATORS
2.2.1. General description of the commutator
2.2.2 Analogue substitute circuit diagram
2.2.3. Reed switch
2.2.4. CMOS switches
2.2.5. Basic constructions of commutators
2.2.6. Examples of commutator solutions
2.2.7. Parameters of integrated commutators
2.2.8. Commutators with switched capacitors
2.3. PROGRAMMED AMPLIFIERS
2.3.1. Basic constructions of programmable amplifiers
2.3.2. Cascade connection of measuring amplifiers
2.4. SAMPLE / REMEMBER SYSTEMS
2.4.1. The way the sampling / reading system works
2.4.2. Basic configurations of sampling / recall systems, ch
2.4.3. Properties of sampling / reading systems
2.4.4. SHC sampling / storage system
2.5. CYFROWO / ANALOG. TRANSMITTERS
2.5.1. A general description of digital / analog processing
2.5.2. Properties of basic codes used in D / A converters
2.5.3. Basic types of D / A converters
2.5.4. Parameters of D / A converters
2.5.5. An example of a D / A converter solution
2.6. ANALOG / DIGITAL TRANSDUCERS
2.6.1. The quantization process
2.6.2. Basic solutions of A / D converters. AND
2.6.3. Parameters of A / D converters
2.6.4. An example of an A / C converter solution
3. PROGRAM PLAY IN THE SAMPLE TRANSMITTER
3.1. PLAYBACK ALGORITHMS
3.1.1. Software processing on the principle of reproduction
3.1.2. Decomposition of analogue processing models
3.1.3. Separation of static and dynamic properties of the converter
3.1.4. Playback algorithm
3.1.5. Dynamic errors of sampling processing
3.2. DETERMINATION OF UNCERTAINTY THE RESULTS OF PROCESSING PROCESSING
3.2.1. Introductory remarks
3.2.2. Parameters of the error value set
3.2.3. Uncertainty as a parameter of the error value set
3.2.4. The error model of the dynamic algorithm
3.2.5. The error model of the static algorithm
3.2.6. Algorithm uncertainty model
3.2.7. The uncertainty model of the playback algorithm
4. SAMPLE TRANSMITTER TRANSMITTER
4.1 PROCESS OF PROCESSING IN AN EXAMPLE SAMPLE TRANSMITTER
4.1.1. Parameters of the components of the transducer
4.1.2. The structure of the processing process carried out by the sampling transducer
4.1.3. Determining the values of the inverse model parameters
4.1.4. Adjustment of the sample voltmeter
4.1.5. Implementation of the processing process by a sampling voltmeter
4.2. DETERMINATION OF UNCERTAINTY OF SAMPLE SAMPLE
4.2.1. Sampling processing errors
4.2.2. Error model of the matching system and quantizer
4.2.3. The error model of the playback algorithm
4.2.4. The uncertainty model of the sample voltmeter
LITERATURE
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