EE
102_1_Lecture17

# 102_1_Lecture17 - UCLA Spring 2009-2010 Systems and Signals...

• Notes
• 34

This preview shows pages 1–10. Sign up to view the full content.

UCLA Spring 2009-2010 Systems and Signals Lecture 17: Frequency Response, Bode Plots, and Filters May 26, 2010 EE102: Systems and Signals; Spr 09-10, Lee 1

This preview has intentionally blurred sections. Sign up to view the full version.

Frequency Response The Laplace transform H ( s ) exists for any s = σ + j ω such that the Laplace transform integral converges. One important special case is when σ = 0 , and s = j ω . This corresponds to the Fourier transform. It is also known as the frequency response H ( j ω ) of the system. ! ! s = j ! EE102: Systems and Signals; Spr 09-10, Lee 2
The j ω axis may not be in the region of convergence, and the frequency response may not exist. If it does, the frequency response characterizes the system after the transients have died out, and the system is in steady state . We will consider two applications of frequency response: Filter Design where we want to design a system with a specified frequency response Feedback Control where we want to modify the frequency response of an existing system EE102: Systems and Signals; Spr 09-10, Lee 3

This preview has intentionally blurred sections. Sign up to view the full version.

Types of Filters Basic idea: Pass some signals at some frequencies, suppress others ! | H ( j ! ) | ! | H ( j ! ) | ! | H ( j ! ) | ! | H ( j ! ) | Lowpass Highpass Bandpass Bandstop, or Notch EE102: Systems and Signals; Spr 09-10, Lee 4
Filter Terms | H ( j ! ) | ! G p G s ! s Passband Transition Band Stopband Minimum Passband Gain Maximum Stopband Gain ! c EE102: Systems and Signals; Spr 09-10, Lee 5

This preview has intentionally blurred sections. Sign up to view the full version.

Ideal Filter Ideal lowpass filter is distortionless over a frequency band: | H ( f ) | f H ( f ) f Unity passband with linear phase. A signal within the passband is delayed, but undistorted in amplitude or phase. EE102: Systems and Signals; Spr 09-10, Lee 6
Impulse response (inverse Fourier transform) h ( t ) t but this is not causal. Two possible solutions for causal filter are: Truncate response symmetrically: linear phase and increased transition width t h ( t ) Common for discrete time filters (next quarter). EE102: Systems and Signals; Spr 09-10, Lee 7

This preview has intentionally blurred sections. Sign up to view the full version.

Non-linear phase (here, minimum phase) t h ( t ) Common for continuous time filters (this quarter). To fix up phase, can follow with an allpass filter . | H ( f ) | f H ( f ) f Truncated, Linear Phase | H ( f ) | f H ( f ) f Non-linear Phase EE102: Systems and Signals; Spr 09-10, Lee 8
Functional Forms for Filters Conceptually, we can consider any impulse response to be a filter. Practically, we are going to consider filters that can be implemented as a discrete component circuit.

This preview has intentionally blurred sections. Sign up to view the full version.

This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

### What students are saying

• As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

Kiran Temple University Fox School of Business ‘17, Course Hero Intern

• I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

Dana University of Pennsylvania ‘17, Course Hero Intern

• The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

Jill Tulane University ‘16, Course Hero Intern