[pcsx_rearmed.git] / deps / libretro-common / audio / dsp_filters / EQ.dsp

filters = 1
filter0 = eq

# Defaults

# Beta factor for Kaiser window.
# Lower values will allow better frequency resolution, but more ripple.
# eq_window_beta = 4.0

# The block size on which FFT is done.
# Too high value requires more processing as well as longer latency but
# allows finer-grained control over the spectrum.
# eq_block_size_log2 = 8

# An array of which frequencies to control.
# You can create an arbitrary amount of these sampling points.
# The EQ will try to create a frequency response which fits well to these points.
# The filter response is linearly interpolated between sampling points here.
#
# It is implied that 0 Hz (DC) and Nyquist have predefined gains of 0 dB which are interpolated against.
# If you want a "peak" in the spectrum or similar, you have to define close points to say, 0 dB.
#
# E.g.: A boost of 3 dB at 1 kHz can be expressed as.
# eq_frequencies = "500 1000 2000"
# eq_gains = "0 3 0"
# Due to frequency domain smearing, you will not get exactly +3 dB at 1 kHz.

# By default, this filter has a flat frequency response.

# Dumps the impulse response generated by the EQ as a plain-text file
# with one coefficient per line.
# eq_impulse_response_output = "eq_impulse.txt"
#
# Using GNU Octave or Matlab, you can plot the response with:
#
# f = fopen('/path/to/eq_impulse.txt');
# l = textscan(f, '%f');
# res = l{1};
# freqz(res, 1, 4096, 48000);
#
# It will give the response in Hz; 48000 is the default Output Rate of RetroArch
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