Digital Signal Processing
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VLSI CAD: Logic to Layout

VLSI CAD: Logic to Layout | Digital Signal Processing | Scoop.it

Rob A. Rutenbar

Illinois

 

Start: TBA (10 weeks long)
Workload: 8-10 hours/week
Computer Science: Systems, Security, Networking
Electrical and Materials Engineering

 

How do we design these complex VLSI chips? Answer: CAD software tools. Learn how to build these tools in this class.

 

A modern VLSI chip is a remarkably complex beast: billions of transistors, millions of logic gates deployed for computation and control, big blocks of memory, embedded blocks of pre-designed functions designed by third parties (called “intellectual property” or IP blocks). How do people manage to design these complicated chips? Answer: a sequence of computer aided design (CAD) tools takes an abstract description of the chip, and refines it step-wise to a final design. This class focuses on the major design tools used in the creation of an Application Specific Integrated Circuit (ASIC) or System on Chip (SoC) design. Our focus is on the key representations that make it possible to synthesize, and to verify, these designs, as they move from logic to layout.

 

Our goal is for students to understand how the tools themselves work, at the level of their fundamental algorithms and data structures. You should be taking this course if (1) you are interested in building VLSI design tools; (2) you are interested in designing VLSI chips, and you want to know why the tools do what they do; (3) you just like cool algorithms, that work on big cool problems that involve bits, and gates, and geometry, and graphs, and matrices, and time, and...


Via Dr. Stefan Gruenwald
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Rescooped by chirag borkar from University-Lectures-Online
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Digital Signal Processing

Digital Signal Processing | Digital Signal Processing | Scoop.it

Paolo Prandoni, Martin Vetterli

École Polytechnique Fédérale de Lausanne

 

Start: February 2013 (8 weeks)
Workload: 8-10 hours/week
Electrical and Materials Engineering

 

Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.

 

The goal of the course is to develop a complete working set of digital signal processing notions from the ground up. DSP is arguably at the heart of the “digital revolution” that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of information availability.

 

In the class, starting from the basic definitions of a discrete-time signal, we will work our way through Fourier analysis, filter design, sampling, interpolation and quantization to build a DSP toolset complete enough to analyze a practical communication system in detail. Hands-on examples and demonstration will be routinely used to close the gap between theory and practice.


Via Dr. Stefan Gruenwald
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