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filter_design/filter_examples.ipynb

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"- lecture: https://github.com/spatialaudio/digital-signal-processing-lecture\n",
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"- tutorial: https://github.com/spatialaudio/digital-signal-processing-exercises\n",
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"\n",
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"Feel free to contact lecturer [email protected]"
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"Feel free to contact the lecturer [email protected]"
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]
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{
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"source": [
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"## Linear Phase Finite Impulse Response (FIR) Filters\n",
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"\n",
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"In the examples for type I, III, II and IV the coefficients in b are made up by random values. Thus, also the Level and Impulse Response are of arbitrary shape, which we are not really interested in.\n",
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"In the examples for types I, III, II, and IV, the coefficients in b are made up of random values. Thus, the Level and Impulse Response are of arbitrary shape, which we are not really interested in.\n",
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"\n",
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"Rather, it is important to realize that the **group delay is constant over frequency** and the **impulse response** has **certain symmetry** over time for these linear phase filter types."
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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"version": "3.12.2"
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}
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},
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"nbformat": 4,

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