LAW SOCIAL CHANGE
LAW SOCIAL CHANGE CrmLaw 147
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This 1 page Class Notes was uploaded by Anahi Sawayn on Saturday September 12, 2015. The Class Notes belongs to CrmLaw 147 at University of California - Irvine taught by Staff in Fall. Since its upload, it has received 48 views. For similar materials see /class/201848/crmlaw-147-university-of-california-irvine in Criminology, Law And Society at University of California - Irvine.
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Date Created: 09/12/15
Physics 147N233A EECS 202A Biomedical Imaging Fall 2006 Course Outline Introduction to imaging Survey of imaging methods opticalphotographic interferometric photon diffusion Xray nuclear ultrasoundmagnetic resonance electrophysiological computed tomography forward and inverse problems Linear systems definition of linearity superposition integral impulse response pointspread function space invariance shift invariance magnification convolutional form eigenfunctions and eigenvalues of the shiftinvariant linear operator Reference Macovski Ch 2 Bracewell Barrett Ch 2 Review of the Fourier transform why the Fourier transform in imaging definition our convention conditions for existence inverse important theorems and properties linearity magnification shift convolution cross correlation and autocorrelation power RaleighParseval power derivative separability 2 dimensional Fourier transform Fourier Bessel transform Reference Macovski Ch 2 Bracewell Barrett Ch 2 Important special quotfunctionsquot and their Fourier transforms gaussian normal function delta impulse function sifting property comb sampling function rect function circ function lambda triangle function H step function sinc interpolating function Reference Macovski Ch 2 Bracewell Barrett Ch 2 Sampling interpolation aliasing sampling frequency bandwidth limitation Fourier transform of sampled data Nyquist frequency restoration by bandpass filtering restoration by sinc interpolation undersampling and aliasing artifact Reference Macovski Ch 2 Bracewell Barrett Ch 2 Frequencyspace description of images and imaging systems spatial frequency transfer function modulation transfer function MTF linear shiftinvariant filter bandpass bandstop and inverse filters Reference Macovski Ch 2 Bracewell Barrett Ch 2 Castleman Ch 11 Review of probability random variable probability density function ioint marginal conditional binomial multinomial Poisson normal multivariate pdfs expectation value moment mean variance covariance correlation coefficient characteristic