signals & systems lecture 11: chapter 3 spectrum representation (book: signal processing first)

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Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Page 1: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

Signals & Systems

Lecture 11:

Chapter 3

Spectrum Representation

(Book: Signal Processing First)

Page 2: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Today's lecture

Definition of Spectrum Spectrum of a Sinusoid Graphical Spectrum Interpretation of Spectrum General Form

Page 3: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Concept of the Spectrum

Complicated waveforms can be constructed as sums of sinusoidal signals of different amplitudes, phases and frequencies,

Spectrum simply shows the relationship between frequency ,phase and amplitude.

Page 4: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Sinusoidal Signals of Different Frequencies

Page 5: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Inverse Euler’s Formula

Page 6: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Interpretation of Spectrum

Page 7: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Spectrum of a Sine

Page 8: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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General Form

Page 9: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Definition of Spectrum

Can be expresses as set of pairs

{ (0,X0), (f1,1/2 X1), (-f1,1/2 X*1),

……(fk,1/2 Xk), (-fk,1/2 X*k)}

Each pair of (fk,1/2 Xk) indicates the complex amplitude of the sinusoidal component at the frequency fk

Spectrum is the frequency domain representation of a signal

Up-till now we have seen the time-domain representation of signals

Page 10: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Graphical Spectrum

Page 11: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Spectrum of Sinusoid

Page 12: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Gather (A,ω,φ)Info

Page 13: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Add Spectral Components

Page 14: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Add Spectral Components

Page 15: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Simplify Components

Page 16: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Final Answer

Page 17: Signals & Systems Lecture 11: Chapter 3 Spectrum Representation (Book: Signal Processing First)

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Important: Property of Real Signals x(t)

The complex amplitude of each negative frequency component is the complex conjugate of the complex amplitude at the corresponding positive frequency component

Frequency f1 has complex amplitude 1/2 X1 then –f1 will have complex amplitude 1/2 X*

1 if x(t) is real