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Examine the code for a Java class that can be used to perform forward and inverse 2D Fourier transforms on 3D surfaces in the space domain. Learn how the 2D Fourier transform behaves for a variety of different sample surfaces in the space domain.

Revised: Wed Oct 21 16:16:44 CDT 2015

This page is included in the following book: Digital Signal Processing - DSP

Table of contents

Preface

This is the second module in a two-part series. The first part published earlier was titled Java1490-2D Fourier Transforms using Java, Part 1 . In this module, I will teach you how to perform two-dimensional (2D) Fourier transforms using Java. Iwill

  • Explain the conceptual and computational aspects of 2D Fourier transforms
  • Explain the relationship between the space domain and the wavenumber domain
  • Provide sufficient background information that you will be able to appreciate the importance of the 2D Fourier transform
  • Provide Java software to perform 2D Fourier transforms
  • Provide Java software to test and exercise that capability

Two separate programs

I will present and explain two separate programs. One program consists of a single class named ImgMod30 . The purpose of this class is to satisfy the computational requirements for forward and inverse 2D Fouriertransforms. This class also provides a method for rearranging the spectral data into a more useful format for plotting. The second program named ImgMod31 will be used to test the 2D Fourier transform class, and also to illustrate the use of 2D Fourier transforms for some well known samplesurfaces.

A third class named ImgMod29 will be used to display various 3D surfaces resulting from the application of the 2D Fourier transform. Iexplained this class in an earlier module titled Plotting 3D Surfaces using Java .

Using the class named ImgMod30

The 2D Fourier transform class couldn't be easier to use. To perform a forward transform execute a statement similar to the following:

ImgMod30.xform2D(spatialData,realSpect, imagSpect,amplitudeSpect);

The first parameter in the above statement is a reference to an array object containing the data to be transformed. The other three parameters refer to arrayobjects that will be populated with the results of the transform.

To perform an inverse transform execute a statement similar to the following:

Questions & Answers

A golfer on a fairway is 70 m away from the green, which sits below the level of the fairway by 20 m. If the golfer hits the ball at an angle of 40° with an initial speed of 20 m/s, how close to the green does she come?
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cm
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A mouse of mass 200 g falls 100 m down a vertical mine shaft and lands at the bottom with a speed of 8.0 m/s. During its fall, how much work is done on the mouse by air resistance
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Can you compute that for me. Ty
Jude
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what is inorganic
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2. A sled plus passenger with total mass 50 kg is pulled 20 m across the snow (0.20) at constant velocity by a force directed 25° above the horizontal. Calculate (a) the work of the applied force, (b) the work of friction, and (c) the total work.
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you have been hired as an espert witness in a court case involving an automobile accident. the accident involved car A of mass 1500kg which crashed into stationary car B of mass 1100kg. the driver of car A applied his brakes 15 m before he skidded and crashed into car B. after the collision, car A s
Samuel Reply
can someone explain to me, an ignorant high school student, why the trend of the graph doesn't follow the fact that the higher frequency a sound wave is, the more power it is, hence, making me think the phons output would follow this general trend?
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Nevermind i just realied that the graph is the phons output for a person with normal hearing and not just the phons output of the sound waves power, I should read the entire thing next time
Joseph
Follow up question, does anyone know where I can find a graph that accuretly depicts the actual relative "power" output of sound over its frequency instead of just humans hearing
Joseph
"Generation of electrical energy from sound energy | IEEE Conference Publication | IEEE Xplore" ***ieeexplore.ieee.org/document/7150687?reload=true
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progressive wave
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Source:  OpenStax, Digital signal processing - dsp. OpenStax CNX. Jan 06, 2016 Download for free at https://legacy.cnx.org/content/col11642/1.38
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