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Lecture 22 Frequency Response Hung-yi Lee
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Filter Outline (Chapter 11) Amplitude Ratio Phase Shift Highpass Filter Frequency Response Bode Plot Draw frequency response Ch 11.4 Ch 11.1 Ch 11.2 Lowpass Filter Notch Filter Bandpss Filter
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Review Network Function Output depends on input and complex frequency s.
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Frequency Response Only focus on the change of frequency In this lecture, we only focus on s=jω. H(jω) is the frequency response. That is, only consider H(jω)
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Frequency Response H(jω) is a complex number, so frequency response is usually represented by two curves Magnitude Ratio Phase Shift
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Example 11.1 Network Function: Frequency Response:
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Example 11.1 Based on Superposition:
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Example 11.1 InputOutput
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Example 11.2 Assume C=1/aR Find Network Function a=1/RC
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Example 11.2 Set s=jω The amplitude ratio is constant.
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Example 11.2 Magnitude Ratio Phase Shift Distance of jω to a Distance of jω to -a
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Example 11.2 Phase shift network: Waveform distortion
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Another Example for Phase Shift Network
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Computing Frequency Response by Poles and Zeros
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Frequency Response K: gain factor p 1, p 2, …: poles z 1, z 2, …: zeros
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Frequency Response - Magnitude Ratio Distance of jω to z 1 Distance of jω to p 1 Distance of jω to p 2 Distance of jω to z 2
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Frequency Response - Magnitude Ratio Gain factor is K Magnitude ratio at ω =| Gain factor| all distance to zeros all distance to poles X
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Frequency Response - Phase Shift
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Example 11.3
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Homework 11.2, 11.4
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Application: Hearing Reference: http://hyperphysics.phy-astr.gsu.edu/hbase/sound/hearcon.html
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Range of Hearing Range of Audio: 300Hz – 3.4KHz Frequency Range of hearing: 20Hz - 20KHz dB
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Equal Loudness Contour Red Curve: Equal loudness Blue Line: Same Energy 60 phon means as loud as the 60dB 1kHz sound. phon (unit): dB
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Hearing v.s. Age Application: 柯南 68 集 ( 黑暗中消失的麒麟之角 )
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Phase and Sound Pass a Phase shift network
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Structure of Ear
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Cochlea ( 耳蝸 ) to brain Each neuron only passes a specific frequency. Pass high frequency Pass low frequency Pass 20kHz Pass 20Hz
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Cochlea ( 耳蝸 ) to brain Neuron for ω=300 Neuron for ω=100 Neuron for ω=20 ω=300, Amplitude=10 ω=20, Amplitude=10
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Machine Hearing Each triangle is the amplitude ratio of a filter How? Ear of machine A set of filters (filter bank) Energy of the signal of the output of the filter Send to computer How to write a program for speech recognition? a. Observe data, and write down some rules b. Simulate human brain, and let the computer learn by itself. Feature
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Speech Signal 文藝 ? 聞腋 ? Acoustic Model Language Model Text Machine Learning Deep Neural Network (Brain) Features Speech Recognition Signal Processing ㄨㄣˊ ㄧˋ … (Filter Bank)
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Thank you!
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Answer 11.2: 11.4:
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Acknowledgement 感謝 陳俞兆 (b02) 上課時指出投影片的錯誤 感謝 陳均彥 (b02) 上課時指出投影片的錯誤 感謝 林楷恩 (b02) 指出投影片方程式的錯誤
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