Understanding "S" in the Frequency Domain

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SUMMARY

The variable 'S' in the frequency domain is defined as s = σ + jw, where σ represents neper frequency and jw denotes complex frequency. This formulation allows for the representation of frequency and phase variations over time through polynomial expressions. The discussion emphasizes viewing 'S' as having both magnitude and phase, which can be decomposed into orthogonal components: cosine and sine. For a deeper understanding, the Wikipedia page on the S-plane is recommended as a resource.

PREREQUISITES
  • Understanding of complex numbers and their representation
  • Familiarity with frequency domain analysis
  • Knowledge of neper frequency and its significance
  • Basic concepts of polynomial expressions in signal processing
NEXT STEPS
  • Read "Signals and Systems" by Alan V. Oppenheim for a comprehensive overview of frequency domain concepts
  • Explore the S-plane and its applications in control theory
  • Learn about the Fourier Transform and its relationship to frequency domain analysis
  • Investigate the use of Laplace Transform in analyzing dynamic systems
USEFUL FOR

Students and professionals in electrical engineering, signal processing, and control systems who seek to deepen their understanding of frequency domain analysis and complex frequency representation.

pforpashya
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Can somebody tell me exactly what is 'S' in frequency domain?

I know that s=σ+jw

where σ is neper frequency and jw is complex frequency but i want the precise information on s

you can suggest me a book in which it is clearly explained.

Thank you.
 
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This is the way I think of it, but I may be completely wrong. Think of s as having a magnitude and phase (when expressed exponentially). If you express that rectangularly it can be seen as the sum of two orthogonal components. Call them what you will. One is the cosine component and the other is the sine component. I view complex numbers this way since the rectangular components are often difficult to visualize. Writing a polynomial with s and t allows you to express sine and cosine components that vary in time. Or, said another way, frequency and phase varying in time. If I said this incorrectly, we will soon find out :)
 

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