6.02 spring 2010 lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/l11.pdf · lecture 11,...

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Lecture 11, Slide #1 6.02 Spring 2010 Lecture #11 Frequency Response and Filters. Equations for Filter Design. Effects of low-pass, high-pass and band-pass filters Series and Parallel Composition.

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Page 1: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #1

6.02 Spring 2010Lecture #11

• Frequency Response and Filters.• Equations for Filter Design.• Effects of low-pass, high-pass and band-pass filters• Series and Parallel Composition.

Page 2: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #2

• Continuous Time to Discrete Time Sinusoids

• Complex Exponentials

Basic Tools: DT Sinusoids and Complex Exponentials

Sample Period

Sample Rate

Page 3: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #3

• Frequency Response

Basic Tools: Frequency Response

Complex Number

Page 4: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #4

Designing Filter’s Unit Sample Response • Design a Unit Sample response with L+1 nonzero

values with a given set of frequency responses.

• 2K constraints (desired frequency responses)• L+1 Unknowns (values of h to be designed)

#Eqns = # Unknowns 2K = L+1

Page 5: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #5

Low Pass Filter

Page 6: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #6

Low Pass Filter Applied to Bits

Page 7: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #7

Low Pass Filter Applied to Image

Page 8: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #8

“Wrong” High Pass Filter

Page 9: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #9

High Pass Filter

Page 10: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #10

High Pass Filter Applied to Bits

Page 11: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #11

High Pass Filter Applied to Image

Page 12: 6.02 Spring 2010 Lecture #11web.mit.edu/6.02/www/s2010/handouts/lectures/L11.pdf · Lecture 11, Slide #1 6.02 Spring 2010. Lecture #11 • Frequency Response and Filters. • Equations

Lecture 11, Slide #12

Band Pass Filter