Machine Learning is generating a great deal of interest in the broadcast industry, and in this short series we cut through the marketing hype and discover what ML is, and what it isn’t, with particular emphasis on neural networks (NNs).
The transform is a useful device that has some interesting characteristics. On one side of a transform we might have the spatial domain, for example data describing an image in terms of brightness as a function of position. On the other side we might have coefficients describing the spatial frequencies and phases of that image data.
Cloud native processing has become a real opportunity for broadcasters in recent years as the latencies, processing speeds, and storage capacities have not only met broadcast requirements, but have even surpassed them.
Wind turbines are increasing in number because they produce electricity with reasonable environmental impact. But how green are they really?
In an increasingly digital world, it may be useful to look at the amount of data needed to represent various media. Note that the amount of data is being considered; the amount of information will always be somewhat less than that.
Solar Panels, or photo-voltaics (PV), have their uses, but they also have their drawbacks.
The Fourier Transform is complex in the mathematical sense, which means that each coefficient is represented by complex number.
For the past 15 years, Chris Shepard, chief engineer and owner of American Mobile Studio, has been responsible for the music mixes broadcast over a variety of streaming platforms from some of the biggest festivals in the United States, including Coachella, Stagecoach, Lollapalooza, Bonnaroo and Outside Lands. His intention is simple: “It’s so important for it to sound exciting,” he says.