1 / 12

Signals & Systems

Signals & Systems. Lecture 13: Chapter 3 Spectrum Representation. Fourier Series Synthesis. Synthesis Example: Harmonic Signal (3 Frequencies). Spectrum Representation. Fourier Series (3-4) Any periodic signal can be synthesized with a sum of harmonically related sinusoids

tamira
Download Presentation

Signals & Systems

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Signals & Systems Lecture 13: Chapter 3 Spectrum Representation

  2. Fourier Series Synthesis

  3. Synthesis Example: Harmonic Signal (3 Frequencies)

  4. Spectrum Representation • Fourier Series (3-4) • Any periodic signal can be synthesized with a sum of harmonically related sinusoids • Fourier series/ Fourier Synthesis Equation • Fourier series integral (to perform Fourier analysis) is known as Fourier Analysis Equation • Fourier series coefficients

  5. Strategy: x(t)---->ak

  6. Synthesis Vs. Analysis

  7. Integral Property of complex exponentials

  8. Integral Property of complex exponentials

  9. Product of complex exponentials: vl*(t) vk(t) Orthogonality Property

  10. Isolate one FS Coefficient Multiply both sides by vl*(t) and integrate over one period

  11. Isolate one FS Coefficient Multiply both sides by vl*(t) and integrate over one period

  12. General Waveforms • Waveforms can be synthesized by the equation x(t) = A0 + ∑Ak cos(2πfkt +k) • These waveforms maybe • constants • cosine signals ( periodic) • complicated-looking signals (not periodic) • So far we have dealt with signals whose amplitudes, phases and frequencies do not change with time

More Related