noise_notes_set3

noise_notes_set3 - ECE594I notes M Rodwell copyrighted...

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ECE594I notes, M. Rodwell, copyrighted ECE594I Notes set 3: Stat. Thero. : Recap / key points. Mark Rodwell University of California, Santa Barbara [email protected] 805-893-3244, 805-893-3262 fax
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ECE594I notes, M. Rodwell, copyrighted References and Citations: Devices State - Solid in Noise : Ziel der Van Physics Thermal : Kroemer and Kittel : Citations / Sources g. ngineeri ns ommunicat f rinciple cobs ozencraft ory) (introduct s Principle Signal Random Variables, Random ty, Probabili : Peebles Z. Peyton ive) comprehens (hard, Variables Random and ity Probabil : Papoulis 982 rca tanford ellman artin otes cture robabilit 1982 circa Stanford, Cover, Thomas : notes lecture theory n Informatio Design c Electroni Noise Low : er Motchenbak ng. Engineeri ions Communicat of s Principle : Jacobs Wozencraft d f t d circuits. in Noise : Notes ns Applicatio tor Linear Semiconduc National 1982 circa Stanford, Hellman, Martin : notes lecture y Probabilit design) receiver (optical Personik Smith noise), (device by Fukui Papers Kroemer and Kittel Peebles, Jacobs, Wozencraft Ziel, der Van study. for references Suggested Theory n Informatio of Elements : Williams and Cover ) (! Notes App. Semi. National
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ECE594I notes, M. Rodwell, copyrighted Statistical Thermodynamics emperatur ? discuss Why oise hermal rive o eeded aterial on distributi Boltzmann e Temperatur theory. n informatio to similarly ons distributi locity carrier ve noise thermal derive to needed Material y y
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ECE594I notes, M. Rodwell, copyrighted Thermal distributions articles f stem onsider . 0 energy or 0 energy at particle Each particles. N of system a Consider 1 0 E E = ate articles f he here , energy total has system Suppose 1 1 E m E T = : is energy have to ions} configurat ts, arrangemen {ways, of # Total . state in particles of # the is where 1 1 E E m ! N N T )! ( ! ) , ( 1 1 1 1 1 m N m m E m E N g T = = = this. .. e approximat to need We
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ECE594I notes, M. Rodwell, copyrighted Recall: Convergence of Binomial upon Gaussian k N k q p N N k P N k P N = = ) | ( ) trials | successes ( : trials Bernoulli k h d 1 66) p. 1965, (Papoulis If npq >> ( ) : then less, or |~ | if and npq O np k ) ( 2 ) ( exp 2 1 ) ( 2 npq np k npq k p n π . variance and mean of Gaussian a is This npq np
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ECE594I notes, M. Rodwell, copyrighted # of System configurations. : on
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noise_notes_set3 - ECE594I notes M Rodwell copyrighted...

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