Rectangular Fourier Transform and its Properties

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SUMMARY

The discussion centers on the Rectangular Fourier Transform, which utilizes the orthonormal basis defined by s_k(x) = ⌈sin(kx)⌉ and c_k(x) = ⌈cos(kx)⌉. Participants explore the properties of this transformation, questioning its orthogonality and the existence of a convolution theorem. The Walsh-transform is mentioned as a similar concept, highlighting the need for a better choice of functions, such as sign(sin(kx)) and sign(cos(kx)), to achieve orthogonality.

PREREQUISITES
  • Understanding of Fourier Transform principles
  • Familiarity with orthonormal bases in functional analysis
  • Knowledge of convolution theorems in signal processing
  • Basic concepts of the Walsh-transform
NEXT STEPS
  • Research the properties of the Rectangular Fourier Transform
  • Study the orthogonality conditions for trigonometric functions
  • Explore convolution theorems in the context of Fourier analysis
  • Investigate the applications and properties of the Walsh-transform
USEFUL FOR

Mathematicians, signal processing engineers, and researchers in Fourier analysis seeking to deepen their understanding of transformations involving periodic functions and their properties.

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Is there a name for a transformation using the orthonormal base

[tex]s_k(x)=\lceil \sin kx \rceil,\: c_k(x) = \lceil \cos kx \rceil \quad ?[/tex]

So basically a Fourier transform or Fourier series using periodic rectangles. What are the properties? Is there some kind of convolution theorem?
 
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I found some answers. The Walsh-transform looks very similar. I noticed that the functions are not orthogonal so sign(sin(kx)) and sign(cos(kx)) is probably a better choice.
 

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