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42 lines
1.4 KiB
Plaintext
42 lines
1.4 KiB
Plaintext
filters = 1
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filter0 = eq
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# Defaults
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# Beta factor for Kaiser window.
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# Lower values will allow better frequency resolution, but more ripple.
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# eq_window_beta = 4.0
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# The block size on which FFT is done.
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# Too high value requires more processing as well as longer latency but
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# allows finer-grained control over the spectrum.
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# eq_block_size_log2 = 8
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# An array of which frequencies to control.
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# You can create an arbitrary amount of these sampling points.
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# The EQ will try to create a frequency response which fits well to these points.
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# The filter response is linearly interpolated between sampling points here.
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#
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# It is implied that 0 Hz (DC) and Nyquist have predefined gains of 0 dB which are interpolated against.
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# If you want a "peak" in the spectrum or similar, you have to define close points to say, 0 dB.
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#
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# E.g.: A boost of 3 dB at 1 kHz can be expressed as.
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# eq_frequencies = "500 1000 2000"
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# eq_gains = "0 3 0"
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# Due to frequency domain smearing, you will not get exactly +3 dB at 1 kHz.
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# By default, this filter has a flat frequency response.
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# Dumps the impulse response generated by the EQ as a plain-text file
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# with one coefficient per line.
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# eq_impulse_response_output = "eq_impulse.txt"
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#
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# Using GNU Octave or Matlab, you can plot the response with:
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#
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# f = fopen('/path/to/eq_impulse.txt');
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# l = textscan(f, '%f');
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# res = l{1};
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# freqz(res, 1, 4096, 48000);
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#
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# It will give the response in Hz; 48000 is the default Output Rate of RetroArch
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