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EE 261: Solid State Mat & Devices I
3.00 Credits
University of Vermont
Energy band theory, effective mass, band structure and electronic properties of semiconductors. Transport of electrons and holes in bulk materials and across interfaces. Homojunctions, heterojunctions, and Schottky barriers. Prerequisite: 163. Credits: 3
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EE 261 - Solid State Mat & Devices I
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EE 262: Solid State Mats & Devices II
3.00 Credits
University of Vermont
Multijunction and interface devices. Heterostructure and optical devices. Dielectric and optical properties solids. High-frequency and high-speed devices. Prerequisite: 261. Credits: 3
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EE 262 - Solid State Mats & Devices II
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EE 266: Science & Tech Integrated Cir
3.00 Credits
University of Vermont
Science and technology of integrated circuit fabrication. Interaction of processing with material properties, electrical performance, economy, and manufacturability. Prerequisites: 163 or 261, concurrent registration in 164 or 262. Credits: 3
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EE 266 - Science & Tech Integrated Cir
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EE 270: Stochastic Processes
3.00 Credits
University of Vermont
Probability theory, random variables, and stochastic processes. Response of linear systems to random inputs. Applications in electrical engineering. Cross-listed with STAT 270. Prerequisites: EE 171 and STAT 151. Credits: 3
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EE 270 - Stochastic Processes
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EE 271: Detection and Estimation
3.00 Credits
University of Vermont
Foundations of linear and nonlinear least squares estimation, smoothing and prediction, computational aspects, Kalman filtering, nonlinear filtering, parameter identification, and adaptive filtering. Cross-listed with STAT 271. Prerequisite: EE 270. Credits: 3
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EE 271 - Detection and Estimation
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EE 272: Information Theory
3.00 Credits
University of Vermont
Introduction to probability concepts of information theory; entropy of probability models; theoretical derivations of channel capacity; coding methods and theorems, sampling theorems. Prerequisite: STAT 143/151/153. Credits: 3
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EE 272 - Information Theory
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EE 273: Digital Communications
3.00 Credits
University of Vermont
Digital modulation/demodulation methods and BER performance; source entropy and channel capacity; optimal detection; convolutional codes and decoding algorithms. Pre/ Corequisites: EE 174, and EE 270 or STAT 143 or STAT 151. Credits: 3
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EE 273 - Digital Communications
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EE 274: Intro Wavelets & Filter Banks
3.00 Credits
University of Vermont
Continuous and discrete-time signal processing. Continuous wavelet transform. Series expansion of continuous and discrete- time signals. Perfect reconstruction, orthogonal and biorthogonal filter banks. Wavelets from filters. Prerequisites: 171, or instructor's permission. Crosslisting: Math 278. Credits: 3
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EE 274 - Intro Wavelets & Filter Banks
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EE 275: Digital Signal Processing
3.00 Credits
University of Vermont
Sampling and reconstruction of signals. DFT, FFT and the z-transform. FIR and IIR filter design. Speech coding. Accompanying lab: 289. Pre/co-requisites: 171, permission. Credits: 3
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EE 275 - Digital Signal Processing
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EE 276: Image Processing & Coding
4.00 Credits
University of Vermont
Image enhancement techniques by point and spatial operations. Data compression techniques to include scalar quantization, entropy coding, transform and sub-band coding. Labs on PC hardware; PC and Unix-based software. Prerequisites: 275; 270 recommended. Credits: 4
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EE 276 - Image Processing & Coding
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