It is not possible to learn about all aspects of it in a single module like this. Of course, in this modern world with complex modern tools this is not always possible, but I still try. I try not to use a tool if I do not understand how it works, or if I could not build it myself when needed. In this way we can understand how to take better care of them, so they can serve us in a good way when needed. We can honour our tools by learning how they work. We should offer dignity to our tools the way angakkuit offered dignity to their tuurngait. Maybe we are not the angakkuit of old, but we are clever people, and we have modern tools and theories that give great power to those of us who wield them. These spirits gave great power to those who wielded them, but they also had to be respected as they were still spirits. In days past, Inuit Angakkuit had tuurngait (spirit helpers) to assist them. Learning StyleĪlways offer dignity to your spirit helpers. Signal processing is a core toolset used to record, save, edit, and play the media all around us. Without it, we wouldn’t have any of that: No cat videos. In a similar sense, signal processing is like a killer app: all the music, movies, and videos on your phones and other devices are made possible from signal processing theory. In the business of technology, the term “killer app”, refers to a computer application that everyone needs, wants, or can’t live without. This question was explored in Part One, but as this module goes deeper into the subject, it might be time to ask this question again. One can then communicate the idea of filtering low or high frequencies by separating and dropping only the basketball or tennis ball respectively. Their combined bounce represents a rapid change from low to high (spatial) frequencies indicating an edge, as in rapidly going from dark to light or vice versa (rapid tonal contrast as edge). The basketball, having a lower bounce represents low frequencies, while the tennis ball with its higher bounce represents high frequencies. A non-computer activity to assist in explaining this relationship could be a physical demonstration followed by a discussion.įor example, one could place a tennis ball on top of a basketball, let them drop, and discuss the combined bounce. Of these three, the concept most difficult to grasp is edge detection, which interprets edges as high spatial frequencies within an image. How does the blur or sharpen features work in Photoshop or Gimp?Īs mentioned in the introduction, there are three major concepts demonstrated by Audacity, Sonic Visualiser, and Gimp.
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