EE102: Introduction to Signals & Systems, Lecture 17  Summary and Q&A
TL;DR
Bode plots represent the magnitude and phase of a transfer function, which can be decomposed into individual poles and zeros. Understanding these plots helps analyze system dynamics and design filters.
Questions & Answers
Q: How can you decompose a transfer function using Bode plots?
When decomposing a transfer function, each pole and zero contribute to the magnitude and phase of the frequency response. By looking at the distances and angles, you can determine their individual effects and reconstruct the overall transfer function.
Q: What is the significance of real poles and zeros in a Bode plot?
Real poles and zeros have a linear approximation on a loglog plot. A real pole represents decay (negative P value) or growth (positive P value), while a zero indicates how the frequency response changes. These approximations help understand the system's behavior and simplify analysis.
Q: How can you approximate the phase shift in a Bode plot?
The phase shift in a Bode plot is determined by the angles between the poles/zeros and the imaginary axis. Real poles have negative angles while real zeros have positive angles. The approximations help understand the frequency range where the phase shift is significant.
Q: How does the stability of a pole affect the magnitude and phase in a Bode plot?
The stability of a pole does not affect the magnitude in a Bode plot. However, it significantly impacts the phase. Passing a stable pole causes a rapid decrease in phase by approximately 180 degrees, while an unstable pole leads to a rapid increase in phase.
Summary & Key Takeaways

Bode plots of transfer functions represent the sum of the individual pole and zero plots, allowing for easy analysis and decomposition.

The distance to poles and zeros determines the magnitude of the frequency response, while the angles indicate the phase shift.

Real poles appear as linear approximations on a loglog plot, with a decaying exponential for stable poles and a growing exponential for unstable poles.