Gear Hunter

ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit

SKU: 397231 Model: DECIMATORV2-GSP Serial: k24000013
Quantity Available: 1 Condition: Used Excellent Condition

ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit
ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit 2
ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit 3
ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit 4
ISP Technologies - Decimator 2 G-String Pédale de Réduction du Bruit 5

Sale Price: $285

Original Price: $285

Buy From Store

Notify Me

 Customer responsible for any shipping charges.

 This product may not come in original packaging.

You are looking at serial k24000013

We have 2 of these online.

Compare all 2

Description

**Please note that there are minor superficial blemishes and scratches.**

ISP Technologies presents the latest generation in high performance Noise Reduction technology, the DECIMATOR NOISE REDUCTION SYSTEM.

The Decimator G String noise reduction pedal was designed for those who want the ultimate performance in a foot pedal and delivers performance like that of the renowned ISP Decimator ProRackG.

The Decimator G String provides a totally independent channel of Decimator noise reduction that can be inserted into a series effects loop or after a preamp section with the advantage of having the Decimator level detectors track the guitar signal directly. With the G String pedal you can set the threshold and no matter what level of noise the Decimator will track perfectly without any side effects.

The amazing thing is that you can switch from high gain to your clean channel and never have to switch the Decimator G String off due to the threshold being set too high. Its simply transparent.

- Input Impedance: 500K ohms
- Maximum Input Level: +12dbu
Effective Noise Reduction: greater than 60db
Dynamic Range: greater than 100db
Total Harmonic Distortion: .05% typical
Power consumption: 35mA @9VDC
Release response: Program dependent based on Time Vector Processing