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The automixer processing is only applied to the noise cancelled and sound
reinforcement signal paths to ensure that there is an 'un'-automixed version of
the input signal available for recording/ungated applications
These three different versions of the input signal mean that, at the same time,
an output signal to the loudspeakers can use the sound reinforcement
processed version of an input signal, another output signal can use the noise
cancelled version without feedback processing, and a different output signal
can use the recording version of the input signal. The decision of which of
these three processed versions to use is made at each matrix crosspoint as
described in the Matrix Crosspoint section following this section.
Noise Cancelled Version
The conferencing version is processed with input equalization, noise
cancellation, automatic gain control, dynamics processing, automixer, fader,
delay, and input mute. The noise cancelled signal path is highlighted in the
following figure and the block diagram of this processing is also shown. This
is the path that is typically used to send a noise reduced version of the
Mic or Line
Input
Input to
Matrix
Input to
Matrix
Parametric
Equalization
A/D
Converter
Analog
Gain
Noise
Cancellation
Automatic
Gain Control
Automixer
AGC Dynamics Fader Delay
Fader
Automixer
Automixer
Delay
Automatic
Gain Control
Feedback
Cancellation
Dynamics
Processor
Dynamics
Processor
Fader
Input to
Matrix
Automatic
Gain Control
Fader Delay
Dynamics
Processor
Delay
Mute
Router
Recording/
Ungated
Noise Cancelled
Sound
Reinforcement
SR-Series Input Processing
Input to
Matrix
Input to
Matrix
Automatic
Gain Control
Automixer
AGC Dynamics Fader Delay
Fader
Automixer
Automixer
Delay
Automatic
Gain Control
k
on
Dynamics
Processor
Dynamics
Processor
Fader
Input to
Matrix
Automatic
Gain Control
Fader Delay
Dynamics
Processor
Delay
Mute
Router
Recording/
Ungated
Noise Cancelled
Sound
Reinforcement
Each analog input signal is processed to create three processed versions that can
be used in different ways in the matrix.