Microelectronics

The number of transistors and resistors on a chip doubles every 18 months.
Gordon Moore
TRENDING BUBBLES

by Miro Zeman

Microelectronics

by Miro Zeman

Microelectronics

by Geert Leus

Microelectronics

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University


Digital Signal Processing (TU Delft)

by TU Delft

The course treats: the discrete Fourier Transform (DFT), the Fast Fourier Transform (FFT), their application in OFDM and DSL; elements of estimation theory and their application in communications; linear prediction, parametric methods, the Yule-Walker equations, the Levinson algorithm, the Schur algorithm; detection and estimation filters; non-parametric estimation; selective filtering, application to beamforming. Study Goals: You will have acquired insight in how signal processing mathematics is really applied in concrete engineering examples. You will know how to do a time-frequency analysis, how to apply the FFT in Digital Subscriber Lines (DSL), how to estimate, separate and filter signals.


Analog Integrated Circuit Design

by TU Delft

An introductory course in analog circuit synthesis for microelectronic designers. Topics include: Review of analog design basics; linear and non-linear analog building blocks: harmonic oscillators, (static and dynamic) translinear circuits, wideband amplifiers, filters; physical layout for robust analog circuits; design of voltage sources ranging from simple voltage dividers to high-performance bandgaps, and current source implementations from a single resistor to high-quality references based on negative-feedback structures. Study Goals: To know, understand and be able to analyze and design (synthesize): - resonator (LC) second-order oscillators - static translinear circuits - dynamic translinear circuits - voltage references - bandgap references - current sources


Advanced Device Physics

by TU Delft

This course will focus for a large part on MOSFET and CMOS, but also on heterojunction BJT, and photonic devices.First non-ideal characteristics of MOSFETs will be discussed, like channel-length modulation and short-channel effects. We will also pay attention to threshold voltage modification by varying the dopant concentration. Further, MOS scaling will be discussed. A combination of an n-channel and p-channel MOSFET is used for CMOS devices that form the basis for current digital technology. The operation of a CMOS inverter will be explained. We will explain in more detail how the transfer characteristics relate to the CMOS design. Study Goals: This course aims at a thorough understanding of the physics of advanced semiconductor devices.


Solar Cells

by TU Delft

Advanced semiconductor devices as a new source of energy for the 21st century, which deliver electricity directly from sunlight. The suitable semiconductor materials, device physics, and fabrication technologies for solar cells are presented. The guidelines for design of a complete solar cell system for household application are explained. The cost aspects, market development, and the application areas of solar cells are presented. Study Goals: Students learn about renewable energy sources, namely the direct conversion of (solar) radiation into electricity using solar cells. Students understand the principles of the photovoltaic conversion and learn about the advantages and limitations of different solar cell technologies, such as crystalline silicon solar cell technology and thin film solar cell technologies. Students understand the specifications of solar modules and know how to design a complete solar system for a particular application.


Digital Signal Processing (UNSW)

by UNSW

Signal Processing is the process of measuring, manipulating or analysing information. Signals of interest include biomedical data, audio, still or moving images, radar, and even DNA. Filtering techniques can be crucial in revealing and interpreting information present in a signal. Digital Signal Processing is an introductory signal processing course which takes students through the steps necessary to design and implement filters for a range of signals.


Digital Signal Processing

by MIT

This course was developed in 1987 by the MIT Center for Advanced Engineering Studies. It was designed as a distance-education course for engineers and scientists in the workplace.Advances in integrated circuit technology have had a major impact on the technical areas to which digital signal processing techniques and hardware are being applied. A thorough understanding of digital signal processing fundamentals and techniques is essential for anyone whose work is concerned with signal processing applications.Digital Signal Processing begins with a discussion of the analysis and representation of discrete-time signal systems, including discrete-time convolution, difference equations, the z-transform, and the discrete-time Fourier transform. Emphasis is placed on the similarities and distinctions between discrete-time. The course proceeds to cover digital network and nonrecursive (finite impulse response) digital filters. Digital Signal Processing concludes with digital filter design and a discussion of the fast Fourier transform algorithm for computation of the discrete Fourier transform.