04 Jun ECET 375 Week 2 iLab Calculating Spectrum and Linear Filtering in MatLab NEW
Objectives
This lab is intended to explore signal spectrums and filtering operations using MatLab. Running pre-written MatLab scripts and altering these codes to perform specific tasks will be necessary to develop the appropriate displays. Calculation of a signal spectrum using the SigSpec.m file, and altering this file to display different types of signals including Cosine, AM, and Square waves will help to explore signal characteristics and display MatLab functionality. Using a second per-written file (LinFiltering.m) and MatLab, displaying how filtering can affect a signal, will be used to describe this process and how the resulting signal changes.
Results
During the exploration of this lab, the MatLab program was used to run specific functions containing the code necessary for appropriate signal plotting. These plots were created for the cosine, the AM, the square wave, using random information and breaking down a sound file (.wav). For each of these signals a MatLab plot was acquired, and used for analysis. Additionally, running the LinFiltering.m file in MatLab allowed the explanation of filtering to be shown in a plot. These plots were created for both the time and frequency domain, and successfully showed how a filter can help contain a signal.
Conclusions
After the completion of this lab, the concepts included are starting to make more sense. Realizing how powerful MatLab can be, and the functions accomplished by it are astounding. Creating the signal plots, being able to visually see the intended signals and then manipulating these signals is a real asset in the learning process. Each signal has its own characteristics and these characterstics can be contained, soften the edges, by using different filtering techniques. These filters can help remove unneeded data, showing the true signal behind it.
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