Signals Systems CNET 221 Chapter4 Mr ASIF ALI

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Signals & Systems (CNET - 221) Chapter-4 Mr. ASIF ALI KHAN Department of Computer

Signals & Systems (CNET - 221) Chapter-4 Mr. ASIF ALI KHAN Department of Computer Networks Faculty of CS&IS Jazan University

Chapter Objective Following are the objectives of Chapter-III Ø Ø Continuous and Discrete LTI

Chapter Objective Following are the objectives of Chapter-III Ø Ø Continuous and Discrete LTI Systems Representation of signal in terms of impulses Unit Impulse Signal response & Convolution LTI System Properties PAGE : 192 Examples : 3. 2, 3. 3, 3. 4, 3. 5

Course Description-Chapter-4 Fourier Series 4. 1 Introduction Fourier Series Representation Of Continuous- Time Signals

Course Description-Chapter-4 Fourier Series 4. 1 Introduction Fourier Series Representation Of Continuous- Time Signals 4. 2 Fourier Series Representation of Continuous -Time Periodic Signals 4. 2. 1 Linear Combination of Harmonically related complex Exponentials 4. 2. 2 Determination of the Fourier Series Representation of a Continuous-Time Periodic Signal 4. 3 Convergence of the Fourier Series 4. 4 Properties of Continuous-Time Fourier Series Linearity, Time Shifting , Time Reversal , Time Scaling , Multiplication , Conjugation and Conjugate Symmetry, Parseval's Relation 4. 5 Fourier Series Representation of Discrete-Time Periodic Signals 4. 5. 1 Linear Combination of harmonically related complex exponentials 4. 5. 2 Determination of the Fourier Series Representation of a Periodic Signal

Fourier Series Fourier series is just a means to represent a periodic signal as

Fourier Series Fourier series is just a means to represent a periodic signal as an infinite sum of sine wave components.

Fourier Series-Decomposition

Fourier Series-Decomposition

Example (Square Wave) f(t) 1 -6 -5 -4 -3 -2 - 2 3 4

Example (Square Wave) f(t) 1 -6 -5 -4 -3 -2 - 2 3 4 5

Harmonics

Harmonics

Harmonics……. Continued

Harmonics……. Continued

Harmonics……. Continued

Harmonics……. Continued

Complex Exponentials

Complex Exponentials

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Form of the Fourier Series

Complex Frequency Spectra

Complex Frequency Spectra

Example f(t) A t

Example f(t) A t

Example A/5 -120 -15 0 -80 -10 0 -40 -5 0 0 40 5

Example A/5 -120 -15 0 -80 -10 0 -40 -5 0 0 40 5 0 80 10 0 120 15 0

Example A/10 -120 -80 -40 -30 0 -20 0 -10 0 0 40 80

Example A/10 -120 -80 -40 -30 0 -20 0 -10 0 0 40 80 120 10 0 20 0 30 0

Convergence of the CTFS

Convergence of the CTFS

Convergence of the CTFS

Convergence of the CTFS

Convergence of the CTFS

Convergence of the CTFS

CTFS Properties

CTFS Properties

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

CTFS Properties………Continued

Some Common CTFS Pairs

Some Common CTFS Pairs

Parseval’s Theorem Ø Let x(t) be a periodic signal with period T Ø The

Parseval’s Theorem Ø Let x(t) be a periodic signal with period T Ø The average power P of the signal is defined as Ø Expressing the signal as it is also

Videos 1. https: //www. youtube. com/watch? v=7 Z 3 LE 5 u. M 6

Videos 1. https: //www. youtube. com/watch? v=7 Z 3 LE 5 u. M 6 Y&list=PLb. MVog. Vj 5 n. JQQZbah 2 u. RZIRZ_9 kfoq. Zyx 2. Signals & Systems Tutorial https: //www. youtube. com/watch? v=y. Lez. P 5 ziz 0 U&list=PL 56 ED 47 DCECCD 69 B 2