printer friendly pageEE 264: Digital Signal Processing
Two sided Z-transform. Linear time invariant discrete time systems. Sampling theory; A/D and D/A conversion. Analog and digital filter design. Quantization of signals and filter conefficients. Signal scaling. DFS, DFT, and sampling in the frequency domain. Interpolation and decimation. Oversampling techniques for ADC and DAC. Digital signal processing for wireless communications. Prerequisite: 102B. Recommended: 261, 278.
Terms: Aut, Sum
| Units: 3
Instructors:
Fernandes Barros, D. (PI)
;
Schafer, R. (PI)
EE 265: Digital Signal Processing Laboratory
Applying 102A,B to real-world signal processing applications. Lab exercises use a programmable DSP to implement signal processing tasks. Topics: A/D conversion and quantization, sampling theorem, Z-transform, discrete-time Fourier transform, digital filter design and implementation, spectral analysis, rate conversion, wireless data communication, and OFDM receiver design. Prerequisites: 102A,B. Recommended: 261.
Terms: Win
| Units: 3-4
Instructors:
Meng, T. (PI)
EE 268: Introduction to Modern Optics
Geometrical optics: ray matrices, Gaussian beams, optical instruments, and radiometry. Wave nature of light: Maxwell's equations, propagation through media with varying index of refraction (e.g., fibers). Interferometry: basic principles, practical systems, and applications.
Terms: Aut
| Units: 3
Instructors:
Byer, R. (PI)
EE 271: Introduction to VLSI Systems
Large-scale MOS design. Topics: MOS transistors, static and dynamic MOS gates, MOS circuit fabrication, design rules, resistance and capacitance extraction, power and delay estimation, scaling, MOS combinational and sequential logic design, registers and clocking schemes, memory, data-path, and control-unit design. Elements of computer-aided circuit analysis, synthesis, and layout techniques. Prerequisites: 101A and 108B; familiarity with transistors, logic design, Verilog, and digital system organization.
Terms: Aut
| Units: 3
Instructors:
Horowitz, M. (PI)
EE 272: Design Projects in VLSI Systems
Mixed signal design. Student teams create a small mixed-signal VLSI design using a modern design flow and CAD tools. The project involves writing a Verilog model of the chip, creating a testing/debug strategy for the chip, wrapping custom layout to fit into a std cell system, using synthesis and place and route tools to create the layout of your chip, and understanding all the stuff you need to do to tape-out a chip. Useful for those who plan to build a chip in their Ph.D. work. Prerequisites:
EE 271 and experience in digital/analog circuit design.
Terms: Spr
| Units: 3-4
Instructors:
Horowitz, M. (PI)
EE 273: Digital Systems Engineering
Electrical issues in the design of high-performance digital systems, including signaling, timing, synchronization, noise, and power distribution. High-speed signaling methods; noise in digital systems, its effect on signaling, and methods for noise reduction; timing conventions; timing noise (skew and jitter), its effect on systems, and methods for mitigating timing noise; synchronization issues and synchronizer design; clock and power distribution problems and techniques; impact of electrical issues on system architecture and design. Prerequisites: 102B and 108A, or equivalents. Recommended: 214.
Terms: Win
| Units: 3
Instructors:
Weaver, J. (PI)
EE 276: Introduction to Wireless Personal Communications
Frequency reuse, cellular concepts, cochannel interference, handoff. Radio propagation in and around buildings: Friis equation, multipath, narrow-band and wide-band channels, small scale and large-scale statistics, space and time signal variation. Diversity. Receiver sensitivity, sources of noise, range. Performance statistics: coverage, margin, digital modulation, adjacent channel interference, and digital error rates. Wide band channels: maximum transmission rates. Multi-server queuing and traffic: Erlang formulas. Multiple access, FDMA, TDMA, CDMA; duplexing, FDD and TDD; multipath mitigation, OFDM, equalization, spread spectrum. Prerequisites: 242 and 278 or equivalent. Corequisite: 279 or equivalent.
Terms: Spr
| Units: 3
Instructors:
Cox, D. (PI)
EE 278: Introduction to Statistical Signal Processing
Random variables, vectors, and processes; convergence and limit theorems; IID, independent increment, Markov, and Gaussian random processes; stationary random processes; autocorrelation and power spectral density; mean square error estimation, detection, and linear estimation. Prerequisites: 178 or
STATS 116, and linear systems and Fourier transforms at the level of 102A,B or 261.
Terms: Aut, Spr, Sum
| Units: 3
EE 279: Introduction to Communication Systems
Analysis and design of communication systems; analog and digital modulation and demodulation, frequency conversion, multiplexing, noise and distortion; spectral and signal-to-noise ratio analysis, probability of error in digital systems, spread spectrum. Prerequisites: 179 or 261, and 178 or 278.
Terms: Win
| Units: 3
Instructors:
Cox, D. (PI)
EE 282: Computer Systems Architecture
Advanced system-level architecture techniques for devices such as personal computers, servers, and embedded or portable systems. Topics such as cache hierarchies, memory systems, storage and IO systems, virtualization, clusters, fault-tolerance, and low-power design. Interactions between hardware and software layers in such systems. Performance analysis and optimization techniques for small- and large-scale systems. Principles such as locality, coarse-grain parallelism, overlapping communication and computation, performance/power trade-offs, and reliability. Prerequisite: 108B. Recommended:
CS 140.
Terms: Spr
| Units: 3
Instructors:
Kozyrakis, C. (PI)
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