Commit | Line | Data |
---|---|---|
3719602c PC |
1 | filters = 1 |
2 | filter0 = eq | |
3 | ||
4 | # Defaults | |
5 | ||
6 | # Beta factor for Kaiser window. | |
7 | # Lower values will allow better frequency resolution, but more ripple. | |
8 | # eq_window_beta = 4.0 | |
9 | ||
10 | # The block size on which FFT is done. | |
11 | # Too high value requires more processing as well as longer latency but | |
12 | # allows finer-grained control over the spectrum. | |
13 | # eq_block_size_log2 = 8 | |
14 | ||
15 | # An array of which frequencies to control. | |
16 | # You can create an arbitrary amount of these sampling points. | |
17 | # The EQ will try to create a frequency response which fits well to these points. | |
18 | # The filter response is linearly interpolated between sampling points here. | |
19 | # | |
20 | # It is implied that 0 Hz (DC) and Nyquist have predefined gains of 0 dB which are interpolated against. | |
21 | # If you want a "peak" in the spectrum or similar, you have to define close points to say, 0 dB. | |
22 | # | |
23 | # E.g.: A boost of 3 dB at 1 kHz can be expressed as. | |
24 | # eq_frequencies = "500 1000 2000" | |
25 | # eq_gains = "0 3 0" | |
26 | # Due to frequency domain smearing, you will not get exactly +3 dB at 1 kHz. | |
27 | ||
28 | # By default, this filter has a flat frequency response. | |
29 | ||
30 | # Dumps the impulse response generated by the EQ as a plain-text file | |
31 | # with one coefficient per line. | |
32 | # eq_impulse_response_output = "eq_impulse.txt" | |
33 | # | |
34 | # Using GNU Octave or Matlab, you can plot the response with: | |
35 | # | |
36 | # f = fopen('/path/to/eq_impulse.txt'); | |
37 | # l = textscan(f, '%f'); | |
38 | # res = l{1}; | |
39 | # freqz(res, 1, 4096, 48000); | |
40 | # | |
41 | # It will give the response in Hz; 48000 is the default Output Rate of RetroArch |