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AMPIC Lab at U Idaho Notes... · 2016. 9. 17. · ©VishalSaxena Coherent Sampling 0 5 10 15 20 25 30 35 40 45 50-1-0.5 0 0.5 1 samples (n) x[n] 100 200 300 400 500 600 700 800 900

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  • © Vishal Saxena

    ECE 697 Delta-Sigma Converters Design

    Lecture#4 Slides

    Vishal Saxena([email protected])

  • © Vishal Saxena

    Spectral Estimation

  • © Vishal Saxena

    Coherent Sampling

    0 5 10 15 20 25 30 35 40 45 50-1

    -0.5

    0

    0.5

    1

    samples (n)

    x[n]

    100 200 300 400 500 600 700 800 900 1000-350

    -300

    -250

    -200

    -150

    -100

    -50

    0

    FFT bins (k)

    20*lo

    g 10|

    X(k

    )|, d

    B

    file:FFTdemo1.m

  • © Vishal Saxena

    Non-Coherent Sampling : FFT leakage

    100 200 300 400 500 600 700 800 900 1000-350

    -300

    -250

    -200

    -150

    -100

    -50

    0

    FFT bins (k)

    20*lo

    g 10|

    X(k

    )|, d

    B

    129129.01129.001

    file:FFTdemo2.m

  • © Vishal Saxena

    FFT leakage contd.

    file:FFTdemo2.m

    100 200 300 400 500 600 700 800 900 1000

    -120

    -100

    -80

    -60

    -40

    -20

    FFT bins (k)

    20*lo

    g 10|

    X(k

    )|, d

    B

    129129.01129.001

  • © Vishal Saxena

    Spectral Windows

    5 10 15 20 25 300

    0.2

    0.4

    0.6

    0.8

    1

    Samples

    Ampl

    itude

    Time domain

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9-150

    -100

    -50

    0

    50

    Normalized Frequency ( rad/sample)

    Mag

    nitu

    de (d

    B)

    Frequency domain

    Rectangular#1BartlettHann

    % Compare Rect, Bartlett and Hann windows

    L = 32;

    wvtool(rectwin(L), bartlett(L), ds_hann(L));

  • © Vishal Saxena

    Spectral Windows contd.

    5 10 15 20 25 300

    0.2

    0.4

    0.6

    0.8

    1

    Samples

    Ampl

    itude

    Time domain

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9-140

    -120

    -100

    -80

    -60

    -40

    -20

    0

    20

    40

    Normalized Frequency ( rad/sample)M

    agni

    tude

    (dB)

    Frequency domain

    Blackman-HarrisHann

    % Compare Blackman-Harris and Hann windows

    L = 32;

    wvtool(blackmanharris(L), ds_hann(L));

  • © Vishal Saxena

    FFT with Windowing

    file:FFTdemo_windowing.m

    100 200 300 400 500 600 700 800 900 1000-200

    -150

    -100

    -50

    0

    50

    100

    FFT bins (k)

    20*lo

    g 10|

    X(k

    )|, d

    B

    RectHannBlackman-Harris

  • © Vishal Saxena

    References

    [1] S. Pavan, N. Krishnapura, “EE658 VLSI Data Conversion Circuits Course,” 2008, [Online]: http://www.ee.iitm.ac.in/~nagendra/videolectures/doku.php?id=start

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