Digital signal processors, building blocks, and algorithms. Design and implementation of processor algorithms, architectures, control, functional units, and circuit topologies for increased performance and reduced circuit size and power dissipation.

Goals: Through this course, students will develop the necessary skills to design simple synthesizable processors suitable for numerically intensive processing with an emphasis on small chip area and high-performance. Secondly, students will learn to design processors for simple digital signal processing tasks through the simultaneous design of DSP algorithms, processor architectures, and hardware design.


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 Suggested references   Fundamentals of Digital Logic, with Verilog Design, Stephen Brown and Zvonko Vranesic. McGraw-Hill, 2003. Good overview of digital system design and many major building blocks with helpful verilog examples.  Computer Architecture, A Quantitative Approach, John Hennessy and David Patterson. Morgan Kaufmann, third edition, 2003. Probably the best reference for processor architectures. You should know this material already, so re-read material if you are rusty.  Getting Started with Matlab, Rudra Pratap. Oxford University Press, 2002. If you need a little help learning matlab, buy and read this. Chapter 2 has some nice tutorials, chapter 3 summarizes basic functions and file I/O, chapter 4 covers scripts, and chapter 6 gives a good overview of graphing. Concise with good coverage. $30 on amazon  Discrete-time Signal Processing, Oppenheim and Schaefer. Excellent reference for discrete-time systems, filtering, DFT, and other DSP algorithms.  Theory and Application of Digital Signal Processing, Rabiner and Gold. Excellent reference for a variety of FFT algorithms often with a good hardware perspective.  Digital Signal Processing: A System Design Approach, DeFatta, Lucas, and Hodgkiss. Contains good explanations and examples of multi-rate processing.  Other references

An application-oriented course to introduce students to the basic principles and concepts employed in analysis and synthesis of modern-day analog and microcomputer control systems. Topics include: review of vectors, matrices, and Laplace transforms, followed by introduction to block diagram, signal flow graph, and state-variable representation of physical systems, network and linear graph techniques of system modeling; time-domain, frequency domain, and statespace analysis of linear control systems, control concepts in multivariable systems, hierarchy of control structures, design of analog and digital controllers.

This course introduces basic principles and concept to design modern digital communication systems, including major components of a communication system, various communication channel models, basic transmitter and receiver designs (baseband signal, bandpass signal, Qsignal, I-signal, modulation/demodulation process), various digital modulation techniques (PAM, PSK, QAM, FSK, NRZ, CPM, GMSK), optimum detection and demodulation methods (MAP and ML detectors, error probability, optimum detector for AWGN channel, optimum detection and error probability analysis for various modulation schemes, non-coherent detector), carrier and symbol synchronization (carrier phase and symbol timing recovery), channel capacity and channel encoding/decoding (error-correction codes, basic linear block codes, convolutional codes, TCM, Viterbi decoding algorithm). The principles and methodologies discussed are important in the design and optimization of modern communication systems such as 4G LTE, WiFi, optical fiber/free-space communications, underwater acoustic communications and so on.

Covers the principles and designs of various important biomedical instruments including pacemaker, EEG, ECG, EMG, and ICU equipment and diagnostic imaging devices (such as blood bank monitor), CT, MRI, mammography, ultrasound, endoscope, confocal microscope, and multiphoton non-linear microscope (2-photon fluorescent, SHG and THG). Imaging devices (e.g., CCDs) and medical image processing are also covered. Includes a general introduction to biological systems; emphasizes the structural and functional relationship between various biological compartments.

The laboratory course is designed to reinforce the concepts discussed in class with a hands-on approach and to allow students to learn laboratory techniques in geometrical optics, polarization, interference, diffraction, signal processing and holography.

In this course, the students will learn advanced network design concepts through hands-on experimentation with real-world implementations. The course is divided in two parts. In the first part, the students will follow a guided set of assignments to consolidate the concepts learnt in the related networking courses. The instructor in class will review these concepts and the students will learn how to apply them in a practical environment. Then, a novel embedded system board will be utilized to implement well-known protocols for both wired and wireless networks. In the second part, the students will design, implement and evaluate state-of-the-art and novel networking protocols for real-world application scenarios that each group will come up with. This course will provide the students with the necessary skills to not only theoretically understand but also practically contribute to the development of our internetworked society.

Design of electronic instruments, with emphasis on the use of analog and digital integrated circuits. Topics include techniques for precise measurements; sensors and their use for measurement of temperature, displacement, light, and other physical quantities; active and passive signal conditioning; and power supplies. Individuals or groups design and demonstrate an instrument, and provide a written report.

Applications of multidimensional signal theory and Fourier analysis. Topics include review of signal processing tools and systems used in array imaging, including coherent receivers, pulsed and continuous wave signaling, temporal Doppler phenomenon, and monostatic, quasi-monostatic, bistatic transmitters/receivers, and 2-D signal processing; examining specific array imaging systems, including phased array imaging, synthetic aperture (SAR and ISAR) imaging, passive array imaging, and bistatic array imaging with emphasis on transmission imaging problems of diagnostic medicine and geophysical exploration.

Focuses on the analysis, design, simulation and mask-level chip layout of integrated analog circuits and systems. Begins with a brief review of MOSFET operation and large and small signal models. Much of the course involves designing and analyzing analog building blocks such as current mirrors, transconductance amplifiers, capacitors, multipliers, current mirrors and D/A and A/D circuits. Simultaneously, the course covers IC design and layout techniques and system analysis. It concludes by looking at sensor applications. Requires a final project consisting of a complete IC layout. Students may have the opportunity to fabricate their final project through MOSIS.

563 Introduction to Communications and Signal Processing

Continuous-time (CT) and discrete-time (DT) signals and systems. DT processing of CT signals. DT and CT random processes and noise models. Analog communication systems and their performance in noise. Digital filter design methods. Prerequisites: E&C-ENG 313, 314 or equivalent.

565 Digital Signal Processing

Transform domain analysis of discrete-time linear time-invariant systems. Minimum-phase, allpass, linear phase systems. Applications of DFT and FFT. IIR and FIR digital filter design. Implementation of discrete-time systems. Finite word-length effects. Multirate digital signal processing. Prerequisite: E&C-ENG 563 or equivalent. Credit, 4.

570 System Software Design

An introduction to software systems with emphasis on operating system design and implementation. Computer architecture and system software interaction. Topics include process management, threading, synchronization, deadlocks, scheduling, security, IO systems, and distributed systems. Prerequisites: E&C-ENG 232 and 242 or equivalent.

608 Signal Theory

Unified treatment of techniques for representation of signals and signal processing operations. Emphasis on physical interpretation of vector spaces, linear operators, transform theory, and digital signal processing with wavelet filter banks. Prerequisite: graduate standing.

647 Advanced Security Engineering

Advanced survey course covering topics from applied cryptography, computer engineering and computer networking together with issues from psychology, sociology, public policy and economics. Course project requires students to design, implement and analyze their own security implementation.

659 Advanced VLSI Design

A graduate version of E&C-ENG 559. Groups of students encouraged to work on VLSI chip designs tied into VLSI research in the Electrical and Computer Engineering or Computer Science departments. Involves knowledge of some additional aspects of computer architecture, circuit design, computer arithmetic, or a particular application area such as digital signal processing, control, cryptography, or computer graphics. Use of the chip within an overall sytem also stressed. Prerequisite: E&C-ENG 558 or 658 or equivalent.

664 VLSI Architectures

The impact of VLSI technology on digital systems and architectures. A variety of applications of these architectures explored with emphasis on digital signal processing and other arithmetic-intensive computations. Prerequisites: E&C-ENG 558, 568 or equivalent.

667 Synthesis and Verification of Digital Systems

Modern techniques and algorithms for synthesis and verification of digital systems. Topics in synthesis cover high-level synthesis, decision diagrams, multi-level logic, and sequential optimization. Topics in verification include symbolic techniques, combinational and sequential equivalence checking, and functional test generation. Prerequisite: undergraduate digital logic design. 9af72c28ce

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