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Sometimes you may want to use more than one method to get the acapella separated from the background. You can often isolate the vocal with standard center channel extraction, but some material still remains, like the snare drum and other center-panned sounds. Sometimes you can get rid of still more material by using the time-shifting technique afterwards. Just be aware that each time you perform center channel extraction, the sound quality is reduced a bit.

Abs( number)

Max()

* c K +(l) + * +cNa+( * c K+ (2) + ^ a + c N a + (

Max( number1, number2)

Min()

462 Ion transport is characterized by conditional rate constants & +, k^a+ and &a- which can be identified with the permeabilities of the membrane for these ions These relationships can be improved by including the effect of the electrical double layer on the ion concentration at the membrane surface (cf page 444 and Section 532) Equation (653) is identical with the relationship derived by Hodgkin, Huxley and Katz It satisfactorily explains the experimental values of the membrane rest potential assuming that the permeability of the membrane for K+ is greater than for Na+ and Cl~~, so that the deviation of A$ M from the Nernst potential for K+ is not very large However, the permeabilities for the other ions are not negligible In this way the axon at rest would lose potassium ions and gain a corresponding concentration of sodium ions.

Min( number1, number2)

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The Noise Reduction effect is designed to get rid of unwanted background frequencies, particularly those that are relatively constant throughout a recording Some of its more common uses are for removing tape hiss, ground loop hum, or microphone noise Noise reduction can also be helpful when used in conjunction with the Center Channel Extractor Noise reduction is a two-step process: 1 Select just a portion of the wave without the vocals It should have similar content to the background noise behind the vocals Capture a noise profile, which will contain information about the frequencies you would like to remove You can do this by selecting Effects Noise Reduction Capture Noise Reduction Profile Alternatively, you could simply press Alt+N 2 Process the entire wave using the profile you have just captured, reducing the unwanted frequencies, by selecting Effects Noise Reduction Noise Reduction.

Rand()

Rand()

This does not occur because of the action of Na+,K+-ATPase, transferring potassium ions from the intercellular liquid into the axon and sodium ions in the opposite direction, through hydrolysis of ATP When the nerve cells are excited by an electric impulse (either 'natural', from another nerve cell or another site on the axon, or 'artificial', from an electrode), the membrane potential changes, causing an increase in the frequency of opening of the gates of the sodium channels Thus, the flux of sodium ions increases and the membrane potential is shifted towards the Nernst potential value determined by sodium ions, which considerably differs from that determined by potassium ions, as the concentration of sodium ions in the extracellular space is much greater than in the intracellular space, while the concentration ratio of potassium ions is the opposite.

Randomize()

Returns a number between 0 and 1 based on seedNumber. The sole purpose of this function is to seed the Random Number Generator immediately before calling the Rand() function.

The potential shift in this direction leads to a further opening of the sodium gates and thus to 'autocatalysis' of the sodium flux, resulting in a spike which is stopped only by inactivation of the gates In spite of the fact that the overall currents flowing across the cell membranes consist of tiny stochastic fluctuating components, the resulting dependences, as shown in Figs 619 and 620, are smooth curves and can be used for further analysis (the situation is, in fact, analogous to most of phenomena occurring in nature) Thus, the formation of a spike can be shown to be a result of gradual opening and closing of very many potassium and sodium channels (Fig 624) According to Fig 6.

Randomize( seedNumber)

Center channel extraction often leaves undesirable artifacts along with the acapella If after extraction, you end up with an unusually messy acapella, you can capture a profile of just the nasty artifacts and then reduce them somewhat with noise reduction This type of processing needs to be used sparingly, or it might make your acapella sound even worse Too much noise reduction will make your vocals sound like a pile of bubbly digital beeps The Noise Reduction Screen is shown in Figure 10-20 The single most important parameter here is the Noise Reduction Level The higher you set this level, the more noise is reduced If you are having a problem with bubbly sounding results, you can try a combination of raising the Reduce By parameter, the Smoothing Amount, and the Spectral Decay Rate.

RandRange()

RandRange( minimumValue, maximumValue)

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