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In this way, precise control over the noise frequency distribution could be achieved without changing the RMS level of the noise.

I will leave this idea for now, but it would be mighty handy! However, a DSP or analogue electronic low pass filter with a -3d B/octave response is (or rather, was) a rare beast indeed. (Paul Kellet contributed two earlier filters to those listed here.) Such a filter would be fed with white noise to produce pink, within certain limits of accuracy.

2 - The Voss-Mc Cartney algorithm of adding multiple white noise sources at lower and lower octaves.

(2006-03-27 Please also see Larry Trammell's "Stochastic Voss-Mc Cartney algorithm".) 2003 July 10: "pinkish" opcode in Csound.

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For instance a uniform noise source with a -10 to 10 range will be made of random numbers with no correlation whatsoever between one and the next, and where there is a 5% chance of each sample being, for instance, in the -10 to -9 range, the 2 to 3 range or any other range which is a 20th of the total peak-to-peak range For the purposes of this discussion, "power" means the average power or energy contained in a signal over a long period of time.On 17 October 1999, Paul put up a further refinement: "instrumentation grade" and "economy" filters.I am glad to see that these highly-tweaked filters are carefully hand-crafted!The "white" refers to the even distribution of wavelengths in white light, with a particular meaning in the audio or DSP sense: that the power of the noise is distributed evenly over all frequencies, between 0 and some maximum frequency which is typically half the sampling rate. Wisniewski on the "Colors of Noise", including white, pink, orange, green . A straightforward example would be that there is as much noise power in the octave 200 to 400 Hz as there is in the octave 2,000 to 4,000 Hz.For instance, white noise at a sampling rate of 44,100 Hz will have as much power between 100 and 600 Hz as between 20,000 and 20,500 Hz. Consequently, it seems, our ears tell us that this is a "natural" even noise. Wentian Li maintains a formidable bibliography on 1/f noise at: However, prior to me creating this page, it mentioned nothing to do with generating 1/f noise with Digital Signal Processing techniques.




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