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1 - 10 of 24 results for: EE

EE 101A: Circuits I

Introduction to circuit modeling and analysis. Topics include creating the models of typical components in electronic circuits and simplifying non-linear models for restricted ranges of operation (small signal model); and using network theory to solve linear and non-linear circuits under static and dynamic operations. Prerequisite: ENGR40 or ENGR40M is useful but not strictly required.
Terms: Win, Sum | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-SMA | Grading: Letter or Credit/No Credit
Instructors: Lee, T. (PI)

EE 102A: Signal Processing and Linear Systems I

Concepts and tools for continuous- and discrete-time signal and system analysis with applications in signal processing, communications, and control. Mathematical representation of signals and systems. Linearity and time invariance. System impulse and step responses. System frequency response. Frequency-domain representations: Fourier series and Fourier transforms. Filtering and signal distortion. Time/frequency sampling and interpolation. Continuous-discrete-time signal conversion and quantization. Discrete-time signal processing. Prerequisite: MATH 53 or CME 102.
Terms: Win, Sum | Units: 4 | UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR | Grading: Letter or Credit/No Credit
Instructors: Kahn, J. (PI)

EE 190: Special Studies or Projects in Electrical Engineering

Independent work under the direction of a faculty member. Individual or team activities involve lab experimentation, design of devices or systems, or directed reading. Course may be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit | Grading: Satisfactory/No Credit
Instructors: Arbabian, A. (PI) ; Bambos, N. (PI) ; Boahen, K. (PI) ; Boneh, D. (PI) ; Bowden, A. (PI) ; Boyd, S. (PI) ; Cioffi, J. (PI) ; Dally, B. (PI) ; Duchi, J. (PI) ; Dutton, R. (PI) ; El Gamal, A. (PI) ; Emami-Naeini, A. (PI) ; Engler, D. (PI) ; Fan, J. (PI) ; Fan, S. (PI) ; Fraser-Smith, A. (PI) ; Garcia-Molina, H. (PI) ; Gibbons, J. (PI) ; Gill, J. (PI) ; Giovangrandi, L. (PI) ; Girod, B. (PI) ; Goldsmith, A. (PI) ; Hanrahan, P. (PI) ; Harris, J. (PI) ; Hennessy, J. (PI) ; Hesselink, L. (PI) ; Horowitz, M. (PI) ; Howe, R. (PI) ; Inan, U. (PI) ; Kahn, J. (PI) ; Katti, S. (PI) ; Kazovsky, L. (PI) ; Khuri-Yakub, B. (PI) ; Kovacs, G. (PI) ; Kozyrakis, C. (PI) ; Lall, S. (PI) ; Lee, T. (PI) ; Levis, P. (PI) ; Levoy, M. (PI) ; McKeown, N. (PI) ; Miller, D. (PI) ; Mitchell, J. (PI) ; Mitra, S. (PI) ; Montanari, A. (PI) ; Murmann, B. (PI) ; Nishi, Y. (PI) ; Nishimura, D. (PI) ; Olukotun, O. (PI) ; Osgood, B. (PI) ; Paulraj, A. (PI) ; Pauly, J. (PI) ; Pease, R. (PI) ; Pianetta, P. (PI) ; Plummer, J. (PI) ; Poon, A. (PI) ; Pop, E. (PI) ; Prabhakar, B. (PI) ; Rivas-Davila, J. (PI) ; Rosenblum, M. (PI) ; Saraswat, K. (PI) ; Shenoy, K. (PI) ; Soh, H. (PI) ; Solgaard, O. (PI) ; Thompson, N. (PI) ; Thrun, S. (PI) ; Tobagi, F. (PI) ; Van Roy, B. (PI) ; Vuckovic, J. (PI) ; Wang, S. (PI) ; Weissman, T. (PI) ; Wetzstein, G. (PI) ; Widom, J. (PI) ; Widrow, B. (PI) ; Wong, H. (PI) ; Wong, S. (PI) ; Wooley, B. (PI) ; Wootters, M. (PI) ; Yamamoto, Y. (PI) ; Zebker, H. (PI)

EE 191: Special Studies and Reports in Electrical Engineering

Independent work under the direction of a faculty member given for a letter grade only. If a letter grade given on the basis of required written report or examination is not appropriate, enroll in 190. Course may be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-15 | Repeatable for credit | Grading: Letter (ABCD/NP)

EE 191W: Special Studies and Reports in Electrical Engineering (WIM)

WIM-version of EE 191. For EE students using special studiesn(e.g., honors project, independent research project) to satisfy thenwriting-in-major requirement. A written report that has gone through revision with an advisor is required. An advisor from the Writing Center is recommended.
Terms: Aut, Win, Spr, Sum | Units: 3-10 | Grading: Letter (ABCD/NP)

EE 216: Principles and Models of Semiconductor Devices

Carrier generation, transport, recombination, and storage in semiconductors. Physical principles of operation of the p-n junction, heterojunction, metal semiconductor contact, bipolar junction transistor, MOS capacitor, MOS and junction field-effect transistors, and related optoelectronic devices such as CCDs, solar cells, LEDs, and detectors. First-order device models that reflect physical principles and are useful for integrated-circuit analysis and design. Prerequisite: 116 or equivalent.
Terms: Aut, Win, Sum | Units: 3 | Grading: Letter or Credit/No Credit

EE 261: The Fourier Transform and Its Applications

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. Prerequisites: Math through ODEs, basic linear algebra, Comfort with sums and discrete signals, Fourier series at the level of 102A
Terms: Win, Sum | Units: 3 | Grading: Letter or Credit/No Credit
Instructors: Osgood, B. (PI)

EE 263: Introduction to Linear Dynamical Systems (CME 263)

Applied linear algebra and linear dynamical systems with applications to circuits, signal processing, communications, and control systems. Topics: least-squares approximations of over-determined equations, and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm, and singular-value decomposition. Eigenvalues, left and right eigenvectors, with dynamical interpretation. Matrix exponential, stability, and asymptotic behavior. Multi-input/multi-output systems, impulse and step matrices; convolution and transfer-matrix descriptions. Control, reachability, and state transfer; observability and least-squares state estimation. Prerequisites: Linear algebra and matrices as in EE 103 or MATH 104; ordinary differential equations and Laplace transforms as in EE 102B or CME 102.
Terms: Aut, Sum | Units: 3 | Grading: Letter or Credit/No Credit

EE 264: Digital Signal Processing

Digital signal processing (DSP) techniques and design of DSP applications. Topics include: discrete-time random signals; sampling and multi-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; and spectrum analysis using the DFT and parametric signal modeling. The course also covers applications of DSP in areas such as speech, audio and communication systems. The optional (1 extra credit hour) lab provides a hands-on opportunity to explore the application of DSP theory to practical real-time applications in an embedded processing platform. See ee264.stanford.edu for more information. Prerequisite: EE 102A and EE 102B or equivalent, basic programming skills (Matlab and C++)
Terms: Win, Sum | Units: 3-4 | Grading: Letter or Credit/No Credit

EE 278: Introduction to Statistical Signal Processing

Review of basic probability and random variables. Random 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. Formerly EE 278B. Prerequisites: EE178 and linear systems and Fourier transforms at the level of EE102A,B or EE261.
Terms: Aut, Sum | Units: 3 | Grading: Letter or Credit/No Credit
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