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5

That's Nyquist-Shannon sampling theorem. Think about it in the other way: imagine you are given a set of samples (the black dots in the image). The most intuitive way to recover the original analog signal would be by joining these samples. But you can easily notice that there is not a unique way of joining them. In fact, there are infinite possible ...


5

This site has a decent table about what the standards are for different HD formats. In general, lower sample rates will have an lower frequency ceiling due to the Nyquist theory, but the average upper bound for human hearing is somewhere between 18k and 20k, so 48k should easily contain all the information necessary for human consumption. The only real ...


4

Sounds above the Nyquist limit (in this case 4000 Hz) will seem to fold back into the allowed range. For example, a tone 100 Hz above the limit will appear as a phantom tone 100 Hz below it. So a frequency of 4100 will seem to appear at 3900, one at 4200 will appear at 3800, and so on. This is called 'aliasing' or 'folding'. The apparent 3900 tone is an ...


2

The result of using a sampling rate that is too low for your program material is easiest understood with a graph. If the blue wave is the actual sound you are attempting to record, in your example, say, 4.5KHz, with a sample rate of 8,000 samples/sec, the signal can only be recreated with the information that was recorded (in red). So to answer your ...


2

The Nyquist-Shannon theorem indicates that the highest frequency that can be sampled is 1/2 of the sampling frequency. However, it does not follow that you can simply adjust your sample rate to extract lower frequencies. The reason for this is aliasing: when a signal is sampled at a rate less than twice the greatest frequency that occurs in the signal, the ...


2

By slow I mean the regular notes have a sort of bite and feeling as if someone were strumming them ridiculously fast (best way I can describe it). When they are played in this low note range the reverberation or super fast strumming effect slows down more and more the lower it gets. Its almost analogous to someone applying and LFO to the bass at ...


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The classic PC Speaker is a very simple system that was designed to be inexpensive and use off-the-shelf parts of the early 1980s. The core problem is that the PC speaker system consists of a cheap speaker, a timer, and digital pulses. Using this system, you can get quite a lot of interesting sounds out that weren't originally intended. But you are limited ...


1

There isn't a good answer to this. It depends on the quality of the speaker and the quality of the sound chipset that is sending the output to the speaker. 20khz is a typical estimate of average human hearing range, so I wouldn't be that surprised if the sound card is more accurate. Generally they try to cover the range from 20hz to 20khz as the "typical ...


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"48kHz sample rate, A-wtd" is just telling you under what conditions the "114dB" dynamic range reading was achieved. It doesn't really tell you a-lot in all honesty, however almost all modern audio interfaces (including this one) will be more than cable of a decent quality recording and sound reproduction. In regards to sample rates it's not something to ...


1

As ObscureRobot is getting to, your problem is coming from interferences, particularly from frequencies you can't hear. As you play lower, the frequency difference (in Hz) between the octaves (or whatever harmonic you have playing) decreases, and therefore the apparent LFO rate decreases. For example, An A octave has one note at 220 and another at 440. ...



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