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Junior Varsity
New presonus mixer
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<blockquote data-quote="Scott Bolt" data-source="post: 130268" data-attributes="member: 3950"><p>Re: New presonus mixer</p><p></p><p></p><p></p><p>Beat me to it JR <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite2" alt=";)" title="Wink ;)" loading="lazy" data-shortname=";)" /></p><p></p><p>Today, you can find DSP blocks in graphical editors for FPGA's or DSP's that simply show up as an icon with the now infamous "FFT" symbol on it. You plunk it down and there you go <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite2" alt=";)" title="Wink ;)" loading="lazy" data-shortname=";)" /></p><p></p><p>The part of the FT that really twisted my mind is that you can take series of discrete sample points from a continuous time based signal, store the information and then re-create the EXACT waveform without any loss at all (a perfect replica of the original). This works up to the Nyquist frequency (half the sample rate).</p><p></p><p>Pretty amazing piece of math work really.</p><p></p><p>As JR points out, the FFT (Fast FT) was the digital implementation of the calculus based FT (which I hated passionately in College). Many a College professor has tortured many a student by making them code up the FFT algorithm (including me). My personal opinion is that it is a total waste of time (I thought that when I had to do it too).</p><p></p><p>Understanding the usage of the tool on the other hand is invaluable if you are an EE.</p><p></p><p>This is why I am questioning the need for 96K. If latencies can be handled at 48Khz and phase alignment can be maintained, it is hard to see how it would make any difference (unless as suggested above, you consider the frequencies > 24Khz meaningful .... which I do not since most microphones and speakers can not operate above this frequency anyway).</p><p></p><p>Great posts guys. Very cool <img src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" class="smilie smilie--sprite smilie--sprite2" alt=";)" title="Wink ;)" loading="lazy" data-shortname=";)" /></p></blockquote><p></p>
[QUOTE="Scott Bolt, post: 130268, member: 3950"] Re: New presonus mixer Beat me to it JR ;) Today, you can find DSP blocks in graphical editors for FPGA's or DSP's that simply show up as an icon with the now infamous "FFT" symbol on it. You plunk it down and there you go ;) The part of the FT that really twisted my mind is that you can take series of discrete sample points from a continuous time based signal, store the information and then re-create the EXACT waveform without any loss at all (a perfect replica of the original). This works up to the Nyquist frequency (half the sample rate). Pretty amazing piece of math work really. As JR points out, the FFT (Fast FT) was the digital implementation of the calculus based FT (which I hated passionately in College). Many a College professor has tortured many a student by making them code up the FFT algorithm (including me). My personal opinion is that it is a total waste of time (I thought that when I had to do it too). Understanding the usage of the tool on the other hand is invaluable if you are an EE. This is why I am questioning the need for 96K. If latencies can be handled at 48Khz and phase alignment can be maintained, it is hard to see how it would make any difference (unless as suggested above, you consider the frequencies > 24Khz meaningful .... which I do not since most microphones and speakers can not operate above this frequency anyway). Great posts guys. Very cool ;) [/QUOTE]
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