Problem
In this lab we will be experimenting with practical PID control applications.
In particular, we will concern ourselves with controlling the speed of a DC
motor using both the output of the encoder, and an accelerometer.
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Principal Component Analysis
ECE 3522 - Stochastic Processes in Signals and Systems
Problem In this assignment we introduce Principal Component Analysis which will allow us to take a set of data and transform it so appears uncorrelated. Using some data built into MatLab we can successfully apply principal component analysis in a study that tracks 349 different cities’ climate, housing, health, crime,...
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Maximum Likelihood Decoding
ECE 3522 - Stochastic Processes in Signals and Systems
Problem The assignment we will explore today is to create a simulation that will allow us to apply a pattern recognition system based around maximum likelihood classification. The entire process is a simulation thus we will be required to first generate our own Gaussian distrusted data, then transform it using...
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Autocorrelation and Power Spectral Density
ECE 3522 - Stochastic Processes in Signals and Systems
Problem
Today we look over autocorrelation and power spectral density (PSD) again.
Unlike in our last analysis, we now will compare and contrast the
autocorrelation and PSD of several different signals.
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Lag Compensator Design
ECE 3412 - Classic Control Systems
Problem In this lab we will be experiment with lead compensator design. This is important because lead compensators add poles and zeros to the closed loop transfer function, which in turn alters the shape of the root locus. If we can alter the shape of the root locus, we can...
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