'Delta functions' presentation slideshows

Lecture: Linear systems and convolution

Lecture: Linear systems and convolution. Linearity Conditions. Let f 1 (x,y) and f 2 (x,y) describe two objects we want to image. f 1 (x,y) can be any object and represent any characteristic of the object. (e.g. color, intensity, temperature, texture, X-ray absorption, etc.)

693 views • 68 slides

Outline

Outline. Nonparametric Techniques Density Estimation Histogram Approach Parzen-window method K n -Nearest-Neighbor Estimation Component Analysis and Discriminants Principal Components Analysis Fisher Linear Discriminant MDA. NONPARAMETRIC TECHNIQUES .

759 views • 61 slides

Understanding Protein Electrostatics Using Boundary-Integral Equations

Understanding Protein Electrostatics Using Boundary-Integral Equations. Jaydeep P. Bardhan Dept. of Physiology and Molecular Biophysics Rush University Medical Center, Chicago IL Joint work with M. Knepley (Computation Institute, U. Chicago)

679 views • 47 slides

New Methods in Computational Quantum Field Theory

731 views • 45 slides

Melts and Fluids

435 views • 31 slides

Microscopic Description of the Breathing Mode and Nuclear Compressibility

Microscopic Description of the Breathing Mode and Nuclear Compressibility. Presented By: David Carson Fuls Cyclotron REU Program 2005 Mentor: Dr. Shalom Shlomo. Introduction.

310 views • 21 slides

Discrete Fourier Transform

g( x ) is a function of value for. We can only examine g( x ) over a limited time frame,. Discrete Fourier Transform. Assume the spectrum of g( x ) is approximately bandlimited; no frequencies > B Hz. Note: this is an approximation; a function can not be both time-limited and bandlimited.

1.22k views • 9 slides