Spectral resolution LL2 section 49. Any arbitrary wave is a superposition of monochromatic plane waves Case 1: Expansion formed of discrete frequencies.

Slides:



Advertisements
Similar presentations
Fourier Series & Transforms
Advertisements

Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L  ) L -L L  -L  - 
Physics 1251 The Science and Technology of Musical Sound Unit 1 Session 8 Harmonic Series Unit 1 Session 8 Harmonic Series.
DFT/FFT and Wavelets ● Additive Synthesis demonstration (wave addition) ● Standard Definitions ● Computing the DFT and FFT ● Sine and cosine wave multiplication.
Lecture 11: Introduction to Fourier Series Sections 2.2.3, 2.3.
Pressure waves in open pipe Pressure waves in pipe closed at one end.
SIGNAL AND SYSTEM CT Fourier Transform. Fourier’s Derivation of the CT Fourier Transform x(t) -an aperiodic signal -view it as the limit of a periodic.
Review of waves T = period = time of one cycle  = 2  f = angular frequency = number of radians per second t Waves in time: f = 1/T =  /2  = frequency.
Computer Graphics Recitation 6. 2 Motivation – Image compression What linear combination of 8x8 basis signals produces an 8x8 block in the image?
Psy 8960, Fall ‘06 Introduction to MRI1 Fourier transforms 1D: square wave 2D: k x and k y 2D: FOV and resolution 2D: spike artifacts 3D.
MSP15 The Fourier Transform (cont’) Lim, MSP16 The Fourier Series Expansion Suppose g(t) is a transient function that is zero outside the interval.
SIGNALS and SYSTEMS. What is a signal? SIGNALS and SYSTEMS What is a signal? What is a system?
Autumn Analog and Digital Communications Autumn
Signals Processing Second Meeting. Fourier's theorem: Analysis Fourier analysis is the process of analyzing periodic non-sinusoidal waveforms in order.
Signals, Fourier Series
Fourier Series. is the “fundamental frequency” Fourier Series is the “fundamental frequency”
Fourier Series Motivation (Time Domain Representation) (Frequency Domain Representation)
CH#3 Fourier Series and Transform
Optics, Eugene Hecht, Chpt. 13;
Chapter 1 Thermal radiation and Planck’s postulate
Chapter 7 Fourier Series (Fourier 급수)
1 Waves 8 Lecture 8 Fourier Analysis. D Aims: ëFourier Theory: > Description of waveforms in terms of a superposition of harmonic waves. > Fourier series.
Chapter 4: Image Enhancement in the Frequency Domain Chapter 4: Image Enhancement in the Frequency Domain.
Fourier’s Theorem Beats????. Fourier Series – Periodic Functions.
A taut wire or string that vibrates as a single unit produces its lowest frequency, called its fundamental.
Chapter 10. Laser Oscillation : Gain and Threshold
Section 12-1 Sequence and Series
Geometrical Optics LL2 Section 53. Local propagation vector is perpendicular to wave surface Looks like a plane wave if amplitude and direction are ~constant.
Course Outline (Tentative) Fundamental Concepts of Signals and Systems Signals Systems Linear Time-Invariant (LTI) Systems Convolution integral and sum.
1. 2 Ship encountering the superposition of 3 waves.
Periodic driving forces
11/20/2015 Fourier Series Chapter /20/2015 Fourier Series Chapter 6 2.
ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: Periodic Signals Triangle Wave Other Simple Functions Review Integration.
Page 1 X-ray crystallography: "molecular photography" Object Irradiate Scattering lens Combination Image Need wavelengths smaller than or on the order.
Intensity.
12/2/2015 Fourier Series - Supplemental Notes A Fourier series is a sum of sine and cosine harmonic functions that approximates a repetitive (periodic)
CH#3 Fourier Series and Transform
Characteristic vibrations of the field. LL2 section 52.
Lecture 12: Parametric Signal Modeling XILIANG LUO 2014/11 1.
Signals and Systems Fall 2003 Lecture #6 23 September CT Fourier series reprise, properties, and examples 2. DT Fourier series 3. DT Fourier series.
Frauenhofer diffraction LL2 section 61. Plane parallel bundle of rays incident on a screen. (Far field). Light propagation in directions other than the.
Interference. Overlap  Waves from multiple point sources overlap. Crest on crest Trough on trough Crest on trough  Overlapping waves add directly. Principle.
Dipole radiation during collisions LL2 Section 68.
Fourier resolution of electrostatic field LL2 section 51.
The Spectrum n Jean Baptiste Fourier ( ) discovered a fundamental tenet of wave theory.
CH#3 Fourier Series and Transform 1 st semester King Saud University College of Applied studies and Community Service 1301CT By: Nour Alhariqi.
Convergence of Fourier series It is known that a periodic signal x(t) has a Fourier series representation if it satisfies the following Dirichlet conditions:
Fourier analysis Periodic function: Any (“reasonable”) periodic function, can be written as a series of sines and cosines “vibrations”, whose frequencies.
A taut wire or string that vibrates as a single unit produces its lowest frequency, called its fundamental.
Section II Digital Signal Processing ES & BM.
Wave packet: Superposition principle
Field energy in a dispersive medium
MECH 373 Instrumentation and Measurements
Spectral resolution of the retarded potentials
Wave Physics PHYS 2023 Tim Freegarde.
Dipole Radiation LL2 Section 67.
For a periodic complex sound
Lecture 35 Wave spectrum Fourier series Fourier analysis
Chapter 13 Objectives Explain why resonance occurs.
Fourier Integrals For non-periodic applications (or a specialized Fourier series when the period of the function is infinite: L) -L L -L- L
Spatial Dispersion LL8 section 103.
Scattering by free charges
Example I: F.T. Integration Property
General theory of scattering in isotropic media
Field of a system of charges at large distances
Lasers, resonators, Gaussian beams
Laser oscillation Laser is oscillator
Scalar theory of diffraction
Coherence (chapter 8) Coherence theory is the study of correlation that exist between different parts of a light field Two type of coherences: Temporal.
Signals & Systems (CNET - 221) Chapter-4
Presentation transcript:

Spectral resolution LL2 section 49

Any arbitrary wave is a superposition of monochromatic plane waves Case 1: Expansion formed of discrete frequencies Gives periodic wave Cavity round trip frequency Field is a usual Fourier series with integral multiples of the fundamental  0 = 2  /T Multiple fundamental frequencies give a more complicated periodic wave

Square and time average (e.g. total laser intensity) Only terms with m = -n survive. All others oscillate and average to zero.

Case 2: field is a superposition of a continuous sequence of frequencies, e.g. a wave packet

Intensity Total intensity of wave = sum of squares of the Fourier components