Why Signal Processing?
Our world is constantly changing. The change is often correlational; an object variation initiates the variation in another object. This relational variation needs to be mathematically realized and understood to be able to understand the variational process and control it. For example, the earth is rotating daily (diurnal motion) in time while we are observing sunrise and sunset. Now, to understand how the entire process works, we must relationally count sunrise and sunset in time. If we assign the value of 1 to sunrise and 0 to sunset, then over the course of one year, we will create a graph or signal.
Signal is all about realizing multivariate relational changes as a mathematical equation. The signal processing can also be termed “Variation Engineering” in all dimensionalities and forms. Now, a question could be raised: how important is signal processing in our lives? The truth is our very own body is constantly varying inside bones and veins, and it can be termed as bio signal processing. While our body is varying, our ambient is also varying. While the ambience is varying, the earth is also varying; while the earth is varying, the solar system is also varying; while the solar system is varying, the Milky Way galaxy is also changing. If we push the range further, the observable universe is also changing. Is there any blueprint that can relate all this variational pattern into a single equation or understanding? Even though a single blueprint of all variations is theoretically realizable, it is practically an impossible task. However, we are trying to make this impossibility into a possibility of some degree, whatever tedious task it is. The great feats in science and engineering, like CERN, are continuously working to solve this quest. And, verily, when we work toward a higher and ambitious goal, we get some understanding of technologies even after not being able to solve the fundamental quest. The great quest of understanding nature and all its variations is powered by “signal processing.”
Please watch the following videos [1] to have a short introduction on Signal Processing:
References:
[1] Youtube
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