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For more course tutorials visit www.newtonhelp.com Laboratory Title: Sallen-Key Active Filter Design Objectives: • Design and simulate a Butterworth, low-pass Sallen-Key active filter. • Construct and test the designed Butterworth, low-pass Sallen-Key active filter. – PowerPoint PPT presentation

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Title: ECET 350 Inspiring Minds/newtonhelp.com


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ECET 350 Inspiring Minds/newtonhelp.com
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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 1 iLabSallen-Key Active Filter
    Design
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  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  •  
  • Laboratory Title Sallen-Key Active Filter Design
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  • Objectives
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  • Design and simulate a Butterworth, low-pass
    Sallen-Key active filter.
  • Construct and test the designed Butterworth,
    low-pass Sallen-Key active filter.

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ECET 350 Inspiring Minds/newtonhelp.com
  •  
  • ECET 350 Week 2 Homework
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  • For more course tutorials visit
  • www.newtonhelp.com
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  • Chapter 2, page 58-62, problems 2a, 2b, 2c, 7,
    9a, 9b, 9c, 10a, 10b, 16a, 16b, 16c, 19, 21, 22a,
    22b, 22c, 24

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 2 iLab Signal Sampling and
    Reconstruction
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  • For more course tutorials visit
  • www.newtonhelp.com
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  • Objectives
  • Use principles of signal sampling and
    reconstruction to construct an electronic circuit
    to sample, hold, and reconstruct the signal.
  • Apply the antialiasing and anti-imaging filters
    to perform proper simulation of signal sampling
    and reconstruction.

5
ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 3 Homework
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
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  • Chapter 3 Homework Problems 3a, 3b, 3c, 5a, 5c,
    5e, 7a, 9

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 3 iLabMoving Average Digital
    Filters
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
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  • Objectives
  • Design, test, and implement antialiasing and
    anti-imaging filters to be used with a real-time,
    digital filtering system using a microcontroller,
    ADC, and DAC.
  • Implement, test, and analyze the performance of
    a moving average, low-pass filter in conjunction
    with the filters and real-time system from the
    first objective.

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 4 Homework
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  • Chapter 9 Finite Impulse Response Filters, pp.
    314353
  • Problems 2a, 2b, 2c, 2d, 3a, 3b, 8a, 8b, 8c, 8d,
    8e, 8f, 10b, 11b, 12b, 12d, 14a, 14b

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 4 iLab Low-Pass Finite Impulse
    Response Filter
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
  •  
  • Objectives Design, implement, test, and analyze
    the performance of a finite impulse response,
    low-pass filter in a real-time application using
    the Tower microcontroller board and ADC and DAC
    interface board.

9
ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 5 Homework
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  • Chapter 9
  • 19. Design a low pass FIR filter for a 10 kHz
    sampling, with a pass band edge at 2 kHz, a stop
    band edge at 3 kHz, and 20 dB stop band
    attenuation. Find the impulse response and the
    difference equation for the filter.
  • 26. A high pass filter with a pass band edge
    frequency of 5.5 kHz must be designed for a 16
    kHz sampled system. The stop band attenuation
    must be at least 40 dB, and the transition width
    must be no greater than 3.5 kHz. Write the
    difference equation for the filter.

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 5 iLab Impulse Response Band Pass
    Filter
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
  •  
  • Objectives Design a high-order, FIR band pass
    using MATLAB and then to implement, test, and
    analyze the real-time performance of that filter
    on a target embedded system board. In addition,
    introduce and compare the numerical formats and
    processing requirements of digital filters when
    implemented using floating point versus fixed
    point mathematics on an embedded system.
  • Results As per the requirement I designed a
    filter using MatLab that would meet the required
    pass band.

11
ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 6 Homework
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  • Chapter 10 Homework Problems 12a, 12b

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 6 iLab Infinite Impulse Response
    Low-Pass Filter
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  • Objectives Design a Butterworth, low-pass
    filter, and then, using a bilinear transformation
    operation, create a digital IIR filter. The
    filter will then be implemented and real-time
    performance tested and analyzed on a target
    embedded system board.
  • Results Summarize your results in the context of
    your objectives.

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 7 Homework
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
  •  
  •  
  • ECET 350
  • Practice Problems
  • 1. A first-order Butterworth filter with a
    digital cut-off frequency of p/4 radians is
    designed for a 2 kHz sampled system. The
    pre-warped analog transfer function is
  • 2. The transfer function of an analog filter is
    H(s) 5000/(s 15000). If the sampling
    frequency is 20 kHz, the digital filter obtained
    using the bilinear transformation is
  • 3.IIR filters are
  • 4.Compared to FIR filters, IIR filters tend to 
  • 5.One difference between Butterworth and
    Chebyshev Type I filter shapes is that
  •  6.Bottom of Form
  • 6.Digital convolution
  • 7. A moving average filter 

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ECET 350 Inspiring Minds/newtonhelp.com
  • ECET 350 Week 7 iLab Fourier Analysis of Time
    Domain Signals
  •  
  • For more course tutorials visit
  • www.newtonhelp.com
  •  
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  • Objective of the lab experiment
  • The objective of this experiment is to perform
    Fourier analysis to obtain frequency domain
    signature of signals and systems that are
    measured or whose characteristics are known in
    time domain. Towards this end, we shall learn how
    to use Fourier transform to obtain Bode plots of
    systems from time domain data passing through the
    system. We shall also learn the equivalence of
    convolution operation in time domain with
    multiplication operation in frequency domain.
  • Equipment list

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ECET 350 Inspiring Minds/newtonhelp.com
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