Noise is like when you are trying to listen to your favorite song on the radio but there are a lot of other noises and sounds coming from other places. These noises can be very distracting and make it hard to hear the song clearly.
In signal processing, noise refers to unwanted sounds or disturbances that are mixed with the signal you actually want to hear. These noises can come from a lot of different sources, like electrical interference or background sounds in a recording.
Signal processing is like being a detective. You're trying to find the important information, but you have to weed through a lot of other things first. Removing the noise helps us find and understand the important part of the signal.
So, taking out the noise from a signal is like putting on noise-canceling headphones. The headphones block out all the other sounds so you can focus on just the music. In the same way, signal processing techniques can remove the unwanted noise from a signal so we can hear and understand the information we're interested in.