Segmentation of range images using sine wave coding and Fourier transformation

1987 ◽  
Vol 26 (2) ◽  
pp. 287 ◽  
Author(s):  
M. Rioux ◽  
P. Boulanger ◽  
T. Kasvand
Keyword(s):  
Fourier Transformation ◽  
Sine Wave ◽  
Range Images

scholarly journals From "Hello, World!" to Fourier transformations: Teaching linguistics undergraduates to code in ten weeks or less

2021 ◽  
Vol 6 (2) ◽  
pp. 5135
Author(s):  
Reed Blaylock
Keyword(s):  
Fourier Transformation ◽  
Sine Wave ◽  
Speech Technology ◽  
Backward Design ◽  
Core Concepts

I used Backward Design to scaffold ten weeks of assignments that taught students how to perform sine wave vowel synthesis and a Fourier transformation approximation using just a few fundamental programming concepts. This strategy gave all students, regardless of their previous programming experience, the opportunity to implement algorithms related to core concepts in phonetics and speech technology. Reflecting on the course, it seems that the coding assignments were generally well-received by students and contributed to students programming something complex and meaningful.

Simulations of high-resolution images of amorphous silicon films

1986 ◽  
Vol 44 ◽  
pp. 544-545
Author(s):  
G. Y. Fan ◽  
J. M. Cowley
Keyword(s):  
Electron Microscope ◽  
High Frequency ◽  
Fourier Transformation ◽  
Amorphous Materials ◽  
Low Frequency ◽  
Chromatic Aberration ◽  
Structure Information ◽  
Frequency Components ◽  
High Resolution Images ◽  
Spatial Frequency Spectrum

It is well known that the structure information on the specimen is not always faithfully transferred through the electron microscope. Firstly, the spatial frequency spectrum is modulated by the transfer function (TF) at the focal plane. Secondly, the spectrum suffers high frequency cut-off by the aperture (or effectively damping terms such as chromatic aberration). While these do not have essential effect on imaging crystal periodicity as long as the low order Bragg spots are inside the aperture, although the contrast may be reversed, they may change the appearance of images of amorphous materials completely. Because the spectrum of amorphous materials is continuous, modulation of it emphasizes some components while weakening others. Especially the cut-off of high frequency components, which contribute to amorphous image just as strongly as low frequency components can have a fundamental effect. This can be illustrated through computer simulation. Imaging of a whitenoise object with an electron microscope without TF limitation gives Fig. 1a, which is obtained by Fourier transformation of a constant amplitude combined with random phases generated by computer.

Effects of sine wave contexts on compensation for coarticulation

2009 ◽  
Author(s):  
Navin Viswanathan ◽  
James S. Magnuson ◽  
Carol A. Fowler
Keyword(s):  
Sine Wave

A chimpanzee uses similar acoustic cues as humans when identifying sine-wave, noise-vocoded, and time-reversed speech

2012 ◽  
Author(s):  
Lisa A. Heimbauer ◽  
Michael J. Beran ◽  
Michael J. Owren
Keyword(s):  
Sine Wave ◽  
Acoustic Cues

Dectection of early thrombus formation in LVAD by accoustic fast fourier transformation (FFT) analysis. A novel approach for monitoring

2014 ◽  
Vol 62 (S 01) ◽  
Author(s):  
P. von Samson-Himmelstjerna ◽  
A. Meyer ◽  
T. Müller ◽  
N. Zießnitz ◽  
J. Garbade ◽  
...  
Keyword(s):  
Fourier Transformation ◽  
Thrombus Formation ◽  
Fast Fourier Transformation ◽  
Novel Approach ◽  
Fft Analysis

Zur Anwendung der harmonischen Analyse bei der Funktionsszintigraphie des Herzens

1979 ◽  
Vol 18 (04) ◽  
pp. 167-171 ◽  
Author(s):  
R. Knopp ◽  
H.-P. Breuel ◽  
P. Fischer
Keyword(s):  
Fourier Transformation

ZusammenfassungDie nach Gleichverteilung von 99mTc-Serumalbumin szintigraphisch gewonnenen Volumenkurven des linken Ventrikels werden zur Gewinnung aussagefähiger Ergebnisse einer harmonischen Analyse unterzogen. Es ergibt sich hierdurch die Möglichkeit der quantitativen Analyse der Volumenkurve in geschlossener Form. Die Resynthese nach Fourier-Transformation stellt für den vorliegenden Funktionstyp ein gut geeignetes Glättungsverfahren dar, so daß die aus den Volumenkurven berechneten Parameter Ejektionsfraktion, maximale Austreibungs- und Füllungsgeschwindigkeit mit großer Genauigkeit erfaßt werden.

Eliminierung von Organbewegungen in Szintigrammen mit Hilfe eines Filterverfahrens

1973 ◽  
Vol 12 (04) ◽  
pp. 1-11
Author(s):  
P. Schmidlin
Keyword(s):  
Fourier Transformation ◽  
Wird Eine

ZusammenfassungEs wird eine Methode beschrieben, mit deren Hilfe Szintigramme auf Fehler korrigiert werden können, die durch Bewegung oder Atmen des Patienten entstanden sind. Die Methode benutzt keine mechanischen oder elektronischen Zusätze. Die Korrektur umfaßt eine Fourier-Transformation der Originalmessung im Zeitbereich, ein Herausfiltern der Atemfrequenz und eine Rücktransformation. Möglichkeiten und Grenzen der Methode werden diskutiert und ein Beispiel gezeigt.

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