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Reads (ascii) signal data into MATLAB and converts it into a spectrogram.
Will also display spectrogram as an image.
Supresses the carriers which may be present in the signal by making
their average powers equal to the median power of the signal.
"Straightens" the signal to determine what it would look like without
the ionospheric dispersion. Also displays the de-chirped signal.
Computes the circular autocorrelation of the power signal. Determines the location and value of the signal's secondary peak - if there is one. Performs a circular shift on a row of data. This is a very simple function used for dechirping the signal. This is the batch file that I used to sort each signal and its associated
compressed versions. It runs through each of the seven processes
as well as runs the graphic.m file which outputs the process' results to
a jpeg file.
This file was used to essentially rename to image file created using the print command in order to maintain consistancy between file names. This is probably less efficient than using the eval.m command, but it works, and I saw no reason to rewrite the program. This is the matrix that I used as a colormap. This allows for good contrast of pseudocolor in the upper power regions while supressing the background slightly using darker colors. This matrix can be retreived using the load.m command. Plots the raw signal vs. time. Program for reading in and ploting the derived statistical information.
Generates a jpeg image of the plot and saves it according to the signal
name.
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