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Lecture

Analog and Digital Conversion

Description

This lecture covers the fundamentals of analog and digital signal processing, including topics such as sampling, low pass filtering, A/D and D/A conversion, resolution, dynamic and static parameters, settling time, and digital interfaces. The instructor explains the importance of sampling frequency, the Nyquist theorem, and the reconstruction of signals from samples. The lecture also delves into the representation of numbers in binary, unipolar and bipolar converters, and the impact of resolution on the number of discrete levels. Additionally, it discusses the settling time of converters, glitches during code changes, and the conversion frequency. The session concludes with a focus on multi-level quantization codes, signal-to-noise ratio, effective bits, and digital interfaces.

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Instructors (2)

Maher Kayal

Maher Kayal received M.S. and Ph.D degrees in electrical engineering from the Ecole Polytechnique Fédérale de Lausanne (EPFL, Switzerland) in 1983 and 1989 respectively. He has been with the Electronics laboratories of the Ecole Polytechnique Fédérale de Lausanne (EPFL, Switzerland) since 1990, where he is currently a professor and director of the Energy Management and Sustainability" section. He has published many scientific papers, coauthor of three text books dedicated to mixed-mode CMOS design and he holds eleven patents. His technical contributions have been in the area of analog and Mixed-signal circuits design including highly linear and tunable sensors microsystems, signal processing and green energy management. Prizes and Honors Electronics Letters journal Premium Award 2013, Outstanding Paper Award? IEEE Mixdes 2013 Basil Papadias paper Award, IEEE Powertech 2013 Best Paper Awards, Mixdes 2013 Best Paper Awards, ICCAS 2012 Outstanding Paper Award- IEEE Mixdes 2012. Poland Section IEEE ED Chapter special award in 2011. Credit Suisse Award for Best Teaching- 2009. The William M. Portnoy Award at the Energy Conversion Congress and Exposition , California Sept 2009. Best Paper Award - IEEE-Mixdes 2009. High Quality Paper - IEEE Power Tech Conference June 2009. Best Paper Award - IEEE-Mixdes 2007. Best Paper Award - IEEE-TTTC International Conference on Automation, Quality and Testing, Robotics - 2006. Best Application Specific Integrated Circuit at the International European Design and Test Conference ED&TC - 1997. Ascom Award for the Best Work in Telecommunication Fields 1990. Publications Books. Books: Methodology for the Digital Calibration of Analog Circuits and Systems, Marc Pastre & Maher Kayal. Springer Publisher- (ISBN 1-4020-4252-3)-2006. Structured Analog CMOS Design, Danica Stefanovic & Maher Kayal. Springer Publisher-(ISBN 978-1-4020-8572-7)-2008. Linear CMOS RF Amplifiers for Wireless Applications, Maher Kayal, Springer Publisher. (ISBN 978-90-481-9360-8)-2010. Coeditor of Microelectronics Education Kluwer Academic Publishers. (ISBN 1-4020-2072-4). -2004.

Anisoara Ionescu

Official source

Ontological neighbourhood

Information engineering

Signal processing: Sampling theory

Related concepts (32)

Analog-to-digital converter

In electronics, an analog-to-digital converter (ADC, A/D, or A-to-D) is a system that converts an analog signal, such as a sound picked up by a microphone or light entering a digital camera, into a digital signal. An ADC may also provide an isolated measurement such as an electronic device that converts an analog input voltage or current to a digital number representing the magnitude of the voltage or current. Typically the digital output is a two's complement binary number that is proportional to the input, but there are other possibilities.

Digital-to-analog converter

In electronics, a digital-to-analog converter (DAC, D/A, D2A, or D-to-A) is a system that converts a digital signal into an analog signal. An analog-to-digital converter (ADC) performs the reverse function. There are several DAC architectures; the suitability of a DAC for a particular application is determined by figures of merit including: resolution, maximum sampling frequency and others. Digital-to-analog conversion can degrade a signal, so a DAC should be specified that has insignificant errors in terms of the application.

Sampling (statistics)

In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. Statisticians attempt to collect samples that are representative of the population. Sampling has lower costs and faster data collection compared to recording data from the entire population, and thus, it can provide insights in cases where it is infeasible to measure an entire population.

Quantization (signal processing)

Quantization, in mathematics and digital signal processing, is the process of mapping input values from a large set (often a continuous set) to output values in a (countable) smaller set, often with a finite number of elements. Rounding and truncation are typical examples of quantization processes. Quantization is involved to some degree in nearly all digital signal processing, as the process of representing a signal in digital form ordinarily involves rounding. Quantization also forms the core of essentially all lossy compression algorithms.

Stratified sampling

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation (stratum) independently. Stratification is the process of dividing members of the population into homogeneous subgroups before sampling. The strata should define a partition of the population.

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