Plots of our time-domain, power spectral density and spectrogram are provided below. The time-domain plot represents a three microphone set-up we had conducted in which we clapped from different sides of the room. We see spikes to indicate when the microphone has received the clap. In the next plot, we have the power spectrum for all three signals. Essentially, it tells you how much power or energy is contained at each frequency within a signal. The energy which is the strength of the variations will be a function of frequency, which is useful for finding the frequency variations that are strong or weak. The spectrogram as we learned in class is useful for providing a visual representation of the spectrum of frequencies of a signal as it varies in time. It will be useful because it provides us with a method of visualizing the signal strength or in our context how "loud" it is as it varies through time and frequency. The Signal Analyzer App which I mention below was extremely useful for providing these visual aids with its various features.
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New DSP Tool
Working on the data so far, one tool that I've learned about is the Signal Analyzer App. It's practical because it provides an interactive and visual interface for when we'll be dealing with the comparison and measurement of different signals through either the time or frequency domain. The audio files are read using the audioread function so that they may be stored as arrays. Once they've been read, the Signal Analyzer App provides a plethora of options for the data which serve to be extremely useful . It will certainly be convenient over the next three weeks.
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