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Multicast/DAB Style
Welcome to the OMNIA ONE Multicast / DAB!
Purpose
The Omnia ONE Multicast was created to optimize audio quality when using "lossy" data reduction audio codecs
such as HD Radio, AAC, AAC+, MP3, WMA etc.
First we will present some important information about our unique Sensus technology that will allow you to
maximize the audio quality and minimize the audible artifacts of the codec process:
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Sensus Technology: Audio Processing
Overview
Until now, digital signal processing has been a more precise numeric implementation of well-known analog methods. Even
relatively recently designed digital audio processors couldn't veer too far from the comparatively simplistic concepts that
analog dynamics processing had utilized... until now!
Extremely high power DSP chips have become available and at relatively low cost, and they make it possible to build
smarter and more complex processing algorithms that were too difficult or impossible (or too expensive) to do in the past.
Running on a platform of the latest high power DSP chips, the Omnia ONE and our new Sensus technology takes digital
dynamics processing into a completely new frontier. Instead of the two-dimensional static processing architecture of the
past, Sensus enables the audio processor to modify its own architecture in real time and in response to ever-changing
program content.
Simply stated, Sensus has the ability to "sense" what must be done to a signal in order to best tailor it for the following
codec. As program content changes, it "rearranges the algorithms" to accomplish this goal. The uniqueness of the Sensus
technology makes it highly suitable not only for codec pre-conditioning (or provisioning), but also for a range of other
highly specialized signal processing challenges. The following is a discussion of how Sensus technology can be applied
to a coded audio environment.
Codec Provisioning
The codec is now a common denominator in the world of audio and broadcasting. Digital broadcasting (HDTV, HD-
, DAB, DRM), podcasting, webcasting, cellcasting, and downloadable music files all employ a form of codec-based
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Radio
data compression in order to minimize the bandwidth required to transmit data. The necessarily low bitrates utilized by
these mediums presents a tough challenge for any audio processor used prior to a codec.
Traditional dynamics processors were designed to fulfill the requirements of a medium where the functions were generally
static. That is, they were well suited to the rather simplistic peak control and bandwidth limiting methods that were
required for analog broadcasting, as well as for the signal normalization techniques used in recording and mastering.
Audio codecs on the other hand are moving targets - each codec algorithm has its own set of artifacts. So not only does the
sonic quality vary depending on the algorithm and bitrate used, but more importantly they vary in their ability to mask their
own coding action. This is why we call it a 'moving target', and is why conventional audio processors fall short in a coded
audio environment and can actually make coding artifacts worse due to their inability to adapt appropriately to the
changing operation of the codec as the program content changes.
Prior art in audio dynamics processing could only address some of the challenges of provisioning audio for coding. This
hurdle existed because the codec adapts to the incoming program (so as to generate the least amount of output data
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