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| Both sides previous revision Previous revision Next revision | Previous revision | ||
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ref:octave:filter_design [2017/02/25 18:08] mike |
ref:octave:filter_design [2018/05/31 22:06] mike |
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| <code matlab> | <code matlab> | ||
| + | # do this one time | ||
| + | pkg install control-3.1.0.tar.gz | ||
| + | pkg install signal-1.4.0.tar.gz | ||
| + | |||
| pkg list | pkg list | ||
| pkg update | pkg update | ||
| Line 12: | Line 16: | ||
| pkg load signal | pkg load signal | ||
| - | # Simple but has a large transition band and only about 50 to 60 db attenuation | + | % Simple but has a large transition band and only about 50 to 60 db attenuation |
| freqz(fir1(63,0.125)) | freqz(fir1(63,0.125)) | ||
| </code> | </code> | ||
| + | |||
| + | The parks McClellan algorithm incorporates both the Remez exchange algorithm and the Chebyshev approximation theorem to achieve an optimal fit between your desired and actual filter response. | ||
| <code matlab> | <code matlab> | ||
| - | # --- Parks-McClellan lowpass Filter | + | % --- Parks-McClellan lowpass Filter |
| n = 64 | n = 64 | ||
| f = [0.0 0.3 0.4 1.0 ]; | f = [0.0 0.3 0.4 1.0 ]; | ||
| Line 32: | Line 38: | ||
| === Example of 100dB filter === | === Example of 100dB filter === | ||
| <code matlab> | <code matlab> | ||
| - | # example of 100dB filter | + | % example of 100dB filter |
| f = [0.0 0.1 0.2 1.0 ]; | f = [0.0 0.1 0.2 1.0 ]; | ||
| a = [1.0 1.0 0.0 0.0]; | a = [1.0 1.0 0.0 0.0]; | ||
