Working at the limits of broadcast technology, news providers are constantly stretching systems to deliver their story first. Discover how the winners operate and quickly master the technology they value.
The best sampling rate for digital audio is easily established by considering the requirements of the human auditory system (HAS), which is the only meaningful arbiter. Provided that the bandwidth of a digital audio system somewhat exceeds the bandwidth of the HAS, that should be enough.
It’s interesting to compare the quality that can be obtained using digital audio with legacy media such as the vinyl disk and magnetic tape.
With viewers demanding to watch what they want, where they want, and how they want, it’s not surprising we’re seeing an unprecedented growth in broadcaster OTT requirements. However, the change in delivery format from traditional broadcasting is providing us with some interesting challenges.
Noise shaping performs an important role in digital audio because it allows hardware to be made at lower cost without sacrificing performance, and in some cases allowing a performance improvement.
As the number of channels for OTT delivery continues to grow, monitoring these channels in a highly automated way has become paramount to ensuring a good Quality of Experience for the viewer. To deliver QoE that’s as good as linear TV broadcasts, the entire system—from ingest to multi-bitrate encoding to delivery to CDN—must be monitored continuously.
Any experienced master control operator or quality control manager will tell you that monitoring hundreds of feeds requires that each individual channel is delivered reliably, on time and to the exact location it was meant to go. When these signals are distributed over the public internet, strict protocols must be followed in order to ensure reliability and quality for every video service it supports.
Oversampling is a topic that is central to digital audio and has almost become universal, but what does it mean?
To maintain high quality of experience for their customers, content providers need a way to monitor hundreds—sometimes thousands—of channels without compromising real-time error detection. In most cases, the immense scale of their service offerings makes continual visual monitoring of all streams physically impossible and error prone. To meet this need, the flexibility, scalability and agility of software-defined monitoring systems is applied to achieve unlimited multiviewer scaling and fully automated monitoring and alarming to meet this rapidly increasing need.