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Unformatted text preview: Lecture Notes 0 Course Introduction • EE 278 in EE Curriculum • Statistical Signal Processing • Course Goal • Topics • Lecture Notes EE 278: Course Introduction 0 – 1 EE 278 in EE Curriculum • EE at Stanford: five laboratories in two general areas: Systems: emphasis on applications of mathematics to EE ◦ Computer Systems Lab (CSL) ◦ Information Systems Lab (ISL) ◦ Space, Telecommunications, and Radioscience Lab (STAR) Devices: emphasis on applications of physics to EE ◦ Solid State and Photonics Labs (SSPL) ◦ Integrated Circuits Lab (ICL) • EE 278 is one of three core ISL graduate courses ◦ EE 261 and EE 263 deal with deterministic (linear) systems ◦ EE 278 deals with statistical systems • EE 278 is also prerequisite to many STAR lab courses and provides good background for other areas (e.g., study of noise in circuits) EE 278: Course Introduction 0 – 2 Statistical Signal Processing • Focus is on extracting information ( signals ) from noisy observations • Applications are all around us — cell phones, digital cameras, modems, digital TV, DVD, . . . • Generic signal processing problem: X ( t ) ˆ X ( t ) Y ( t ) noisy channel signal processor signal observation estimate • Signal: (coded) digital data, audio, image, video, geophysical, medical, . . ....
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This note was uploaded on 11/28/2009 for the course EE 278 taught by Professor Balajiprabhakar during the Fall '09 term at Stanford.
- Fall '09
- Signal Processing