The Blog

Problem Today we introduce multivariable sample spaces. We will learn more about covariance or how closely two sets of data are correlated. Using MatLab we will be able to construct some random sets of data and observe the covariance. Specifically we will utilize MatLab’s 3D visualization tool to observe the... [Read More]

Problem Lab 5, we experiment with feedback in a control system using an external controller. Feedback control is important since we often cannot alter the intrinsic characteristics of hardware, i.e. the DC motor used in Lab 4. In software, it is possible to simulate the response with different damping and... [Read More]

Introduction In this experiment we will be introduced to open loop motor control. The point of this experiment is to use the tools at our disposal, i.e. MatLab and Simulink, to obtain the transfer function of the motors velocity using the data obtained experimentally. This lab also serves as an... [Read More]

Problem In class assignment five we work with random variables (different portions of our speech signal) and compute how similar the two data sets are. In chapter five we introduce covariance and correlation. [Read More]

Problem Class assignment four has us exploring the distribution fits laid out in chapter four and seeing how they fit real world data sets. We again use our speech signal and google stock as a basis for our analyses. From chapter four we are introduced to a number of distributions:... [Read More]