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| Electrical Engineering |
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650-723-3931
Session dates and times for courses are available in Axess under the Guest Menu. Course day, time, and units are subject to change. Courses are eight weeks long unless otherwise noted in the course description or details.
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Signal Processing and Linear Systems II |
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Electromagnetic Waves |
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Numerical Electromagnetic |
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The Fourier Transform and its Applications |
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Digital Signal Processing |
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Introduction to Statistical Signal Processing |
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RF Integrated Circuit Design |
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Seminar on Computer Systems |
EE 102B
Signal Processing and Linear Systems II
4
units
Time: see http://axess.stanford.edu
Concepts and mathematical tools in discrete-time signal processing and linear systems analysis with examples from digital signal processing, communications, and control. Discrete-time signal models. Continuous-discrete-continuous signal conversion. Discrete-time impulse and step response. Frequency domain representations: Fourier series and transforms. Connection between continuous and discrete time frequency representations. Discrete Fourier transform (DFT) and fast Fourier transform (FFT). Digital filter and signal processing examples. Discrete-time and hybrid linear systems. Stability and causality. Z transforms and their connection to Laplace transforms. Frequency response of discrete-time systems. Discrete-time control.
Prerequisite: EE 102A.
Note: Meets GER Disciplinary Breadth, Eng./App.Sciences
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EE 242
Electromagnetic Waves
3
units
Time: see http://axess.stanford.edu
Continuation of 141. Maxwell's equations. Plane waves in lossless and lossy media. Skin effect. Flow of electromagnetic power. Poynting's theorem. Reflection and refraction of waves at planar boundaries. Snell's law and total internal reflection. Reflection and refraction from lossy media. Guided waves. Parallel-plate and dielectric-slab waveguides. Hollow wave-guides, cavity resonators, microstrip waveguides, optical fibers. Interaction of fields with matter and particles. Antennas and radiation of electromagnetic energy.
Prerequisite: EE 141 or PHYSICS 120
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EE 256
Numerical Electromagnetic
3
units
Time: see http://axess.stanford.edu
Principles and applications of numerical techniques for solving practical electromagnetics problems. Time domain solutions of Maxwell's equations. Finite difference time domain (FDTD) methods. Numerical stability, dispersion, and dissipation. Absorbing boundary conditions. Perfectly matched layer methods. Explicit and implicit methods. FDTD modeling of propagation and scattering in dispersive and anisotropic media. Near-to-far-zone transformations. Computational problems require programming and use of MATLAB and other tools. Prerequisite: 242 or equivalent.
Note: Fulfills GER:Disciplinary Breadth-EngrAppSci
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EE 261
The Fourier Transform and its Applications
3
units
Time: see http://axess.stanford.edu
The Fourier transform as a tool for solving physical problems. Fourier series, the Fourier transform of continuous and discrete signals and its properties. The Dirac delta, distributions, and generalized transforms. Convolutions and correlations and applications; probability distributions, sampling theory, filters, and analysis of linear systems. The discrete Fourier transform and the FFT algorithm. Multidimensional Fourier transform and use in imaging. Further applications to optics, crystallography. Emphasis is on relating the theoretical principles to solving practical engineering and science problems.
Prerequisite: Fourier series at the level of EE 102A, and linear algebra.
Note: Meets GER Disciplinary Breadth, Eng./App.Sciences
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EE 264
Digital Signal Processing
3
units
Time: see http://axess.stanford.edu
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: EE 102B
Note: EE 261, 278
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EE 278
Introduction to Statistical Signal Processing
3
units
Time: see http://axess.stanford.edu
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.
Prerequisite: EE 178 or STATS 116, and linear systems and Fourier transforms at the level of EE 102A,B or 261.
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EE 314
RF Integrated Circuit Design
3
units
Time: see http://axess.stanford.edu
Design of RF integrated circuits for communications systems, primarily in CMOS. Topics: the design of matching networks and low-noise amplifiers at RF, passive and active filters, mixers, modulators, and demodulators; review of classical control concepts necessary for oscillator design including PLLs and PLL-based frequency synthesizers.
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EE 380
Seminar on Computer Systems
1 unit
Time: see http://axess.stanford.edu
Stanford Online Only
Current research in the design, implementation, analysis, and use of computer systems ranging from integrated circuits to operating systems and programming languages.
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