Propagation of Waves - RIT Center for Imaging Science

PROPAGATION OF WAVES 7.1.2 Cylindrical Waves If a wave is emitted from a line source, the wavefronts are cylindrical. Since the wave expands to Þll a cylinder of radius r0, the wavefront crosses a cylindrical area that grows as Area =2πrh ∝ r.

  Propagation, Waves, Propagation of waves

Lecture 3: Basic Morphological Image Processing

Sep 13, 2005 · Morphological processing is described almost entirely as operations on sets. In this discussion, a set is a collection of pixels in the context of an image. Our sets will be collections of points on an image grid G of size N × M pixels. DIP Lecture 3 1. Pixel Location

  Lecture, Basics, Image, Processing, Lecture 3, Morphological, Basic morphological image processing

Chapter 6 Maxwell’s Equations for Electromagnetic Waves

Chapter 6 Maxwell’s Equations for Electromagnetic Waves 6.1 Vector Operations Any physical or mathematical quantity whose amplitude may be decomposed into “directional” components often is represented conveniently as a vector. In this dis-cussion, vectors are denoted by bold-faced underscored lower-case letters, e.g., x.The

  Chapter, Equations, Chapter 6

Poisson and Normal Distributions

Poisson Distribution • The Poisson∗ distribution can be derived as a limiting form of the binomial distribution in which n is increased without limit as the product λ =np is kept constant. • This corresponds to conducting a very large number of Bernoulli trials with the probability p of success on any one trial being very small. • The Poisson distribution can also be derived …

  Distribution, Bernoulli

Traveling Waves - Chester F. Carlson Center for Imaging ...

32 CHAPTER 4. TRAVELING WAVES amplitudes over a discrete set of frequencies: y[z,t]= X∞ n=1 y n X∞ n=1 Ancos[knz−ωnt+φ], where An,kn,andωnare the amplitude, angular spatial frequency, and angular spatial frequency of the nthwave.Therefore, we can define the phase velocity of the nthwave as: (vφ)n ωn kn Now suppose that a particular anharmonic oscillation is …

  Waves, Traveling, Carlson, Wave traveling

Lecture 2: Geometric Image Transformations

Sep 08, 2005 · Rochester Institute of Technology rhody@cis.rit.edu September 8, 2005 Abstract Geometric transformations are widely used for image registration and the removal of geometric distortion. Common applications include construction of mosaics, geographical mapping, stereo and video. DIP Lecture 2

  Institute, Rochester, Rochester institute of

Chapter 14 Review of Quantization - Chester F. Carlson ...

hold circuits. The simplest quantizer converts an analog input voltage to a 1-bit digital output and can be constructed from an ideal di fferential amplifier, where the output voltage Voutis proportional to the difference of two voltages Vinand Vref: Vout= α(Vin−Vref) Vref is a reference voltage provided by a known source. If αis large ...

  Chapter, Circuit

Binary Images - Chester F. Carlson Center for Imaging Science

Indexed color images store a fixed number of colors limited by the bit-depth: 3 bits/pixel : 8 colors 4 bits/pixel : 16 colors 5 bits/pixel:64 colors 8 bits/pixel : 256 colors. File Size Calculation 100 pixels 100 pixels Bit depth = 8 bits per pixel (256 gray levels)

  Image, Fixed, Binary, Indexed, Binary images

Functions of Random Variables - College of Science | RIT

Suppose that a random variable U can take on any one of L ran-dom values, say u1,u2,...uL. Imagine that we make n indepen-dent observations of U and that the value uk is observed nk times, k =1,2,...,L.Of course, n1 +n2 +···+nL = n. The emperical average can be computed by u = 1 n L k=1 nkuk = L k=1 nk n uk The concept of statistical ...

  Concept, Variable, Random, Random variables, Roman d

Power Signals: Power Spectral Density and Autocorrelation ...

The autocorrelation has a maximum (possibly a local one) at τ = 0. 3 P7.x 0f This can be seen considering (3) P8. ()* RRxx−=τ τ This comes from (2) and means that the real part of the autocorrelation is symmetric and the argument part of the autocorrelation is anti-

  Autocorrelation

Strict-Sense and Wide-Sense Stationarity Autocorrelation ...

and autocorrelation functions are time invariant, i.e., E(X(t)) = µ, independent of t R X (t 1 ,t 2 ) is a function only of the time difference t 2 −t 1

  Autocorrelation

Convolution, Correlation, Fourier Transforms

Autocorrelation • The correlation of a function with itself is called its autocorrelation. – In this case the correlation theorem becomes the transform pair – This is the Wiener-Khinchin Theorem Corr(g,g)↔G(f)G*(f)= G(f)2

  Convolutions, Autocorrelation

8. Cross-Correlation Cross-correlation

Autocorrelation Autocorrelation is the result of cross-correlating a function with itself. Equation (8-1) becomes

  Autocorrelation, Autocorrelation autocorrelation

GARCH(1,1) models

determined using the Box-Pierce or similar tests for autocorrelation signi cance, where the case p= 0 corresponds to a white noise process. To ensure that ˙2 t remains positive, !; i 0 8iis required. Tim Bollerslev (1986) extended the ARCH model to allow ˙2 t to have an additional autoregres-sive structure within itself.

  Garch, Autocorrelation

06 Random Number Generation - fu-berlin.de

• Autocorrelation between numbers • Numbers successively higher or lower than adjacent numbers • Several numbers above the mean followed by several numbers below the mean Prof. Dr. Mesut Güneş Ch. 6 Random-Number Generation

  Autocorrelation

Spatial & Temporal Coherence - NTUA

Prof. Elias N. Glytsis, School of ECE, NTUA 3 Coherence is a measure of the correlation between the phases measured at different (temporal and spatial) points on a wave.

STAT 720 TIME SERIES ANALYSIS

1 Introduction 1.1 Some examples Question: What is a time series? Answer: It is a random sequence fX tgrecorded in a time ordered fashion. Question: What are its applications? Answer: Everywhere when data are observed in a time ordered fashion.