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

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.

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Segmentation of range images using sine wave coding and Fourier transformation

Applied Optics ◽

10.1364/ao.26.000287 ◽

1987 ◽

Vol 26 (2) ◽

pp. 287 ◽

Cited By ~ 3

Author(s):

M. Rioux ◽

P. Boulanger ◽

T. Kasvand

Keyword(s):

Fourier Transformation ◽

Sine Wave ◽

Range Images

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Simulations of high-resolution images of amorphous silicon films

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010014419x ◽

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.

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