gfmucci
Jr. Member
- Jun 19, 2014
- 36
- 8
- Detector(s) used
- BH in 70's; new to Whites MX5 in July 2014
- Primary Interest:
- Metal Detecting
Thanks, Kodiak,
So "discriminating out" and "notching out" are two different animals. Lets see if I can express the difference: Discriminating out a signal (using the AT Pro's "Iron descrim" control) reduces the sensitivity of the broad frequency spectrum that identifies iron - 0 to 30 on the AT Pro scale. Notching out suppresses the signal on narrow parts of the frequency spectrum, like notching out 70 to 75. If a machine was able to "notch out" 5 point segments between 0 and 30, what would be the difference between that and "discriminating out?"
Let me guess, let me guess. Discriminating out is a "variable sensitivity control" over that entire 0 to 30 range, whereas "notching" is an "all or nothing" (on/off) of the 5 point segments anywhere throughout a given range. The "normal" sensitivity control addresses the entire spectrum from 0 to 100 whereas the "iron discrimination" adjusts the sensitivity only below 30. Am I close? Please correct me if I am wrong.
[UPDATE: Found out later that I am wrong from Indian Nations. The "Iron Discrim" is progressive notching from 0 to whatever number you choose up to 40. A setting of 8 notches out 0 through 8. A setting of 25 notches out everything from 0 through 20, etc.]
If I am close, then this question: What is the benefit of discriminating that range (0 to 40) versus notching out all or portions of that range? [moot point]
As I understand the AT Pro system, the variable iron sensitivity (discrimination) setting applies to the range of 0 to 40 (the iron range); notching is available from 40 to to 100 in 5 unit increments.
As I understand the Whites MX5 system, notching covers the entire range from (in Garrett equivalency*) from 0 to 100 in 20 segments.
(*Whites uses a non-linear scale of from -95 to +95 where the notching is broader in the negative range (5 notches) and more refined in the positive range (15 notches).)
So, these are two different approaches to addressing the same problem. Are they equally effective? Or is one better than another and if so, why?
So "discriminating out" and "notching out" are two different animals. Lets see if I can express the difference: Discriminating out a signal (using the AT Pro's "Iron descrim" control) reduces the sensitivity of the broad frequency spectrum that identifies iron - 0 to 30 on the AT Pro scale. Notching out suppresses the signal on narrow parts of the frequency spectrum, like notching out 70 to 75. If a machine was able to "notch out" 5 point segments between 0 and 30, what would be the difference between that and "discriminating out?"
Let me guess, let me guess. Discriminating out is a "variable sensitivity control" over that entire 0 to 30 range, whereas "notching" is an "all or nothing" (on/off) of the 5 point segments anywhere throughout a given range. The "normal" sensitivity control addresses the entire spectrum from 0 to 100 whereas the "iron discrimination" adjusts the sensitivity only below 30. Am I close? Please correct me if I am wrong.
[UPDATE: Found out later that I am wrong from Indian Nations. The "Iron Discrim" is progressive notching from 0 to whatever number you choose up to 40. A setting of 8 notches out 0 through 8. A setting of 25 notches out everything from 0 through 20, etc.]
If I am close, then this question: What is the benefit of discriminating that range (0 to 40) versus notching out all or portions of that range? [moot point]
As I understand the AT Pro system, the variable iron sensitivity (discrimination) setting applies to the range of 0 to 40 (the iron range); notching is available from 40 to to 100 in 5 unit increments.
As I understand the Whites MX5 system, notching covers the entire range from (in Garrett equivalency*) from 0 to 100 in 20 segments.
(*Whites uses a non-linear scale of from -95 to +95 where the notching is broader in the negative range (5 notches) and more refined in the positive range (15 notches).)
So, these are two different approaches to addressing the same problem. Are they equally effective? Or is one better than another and if so, why?
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