Perform basic peak analysis. It will help you answer questions such as: How do I find peaks in my signal? How do I measure distance between peaks? How do I measure the amplitude of peaks of a signal which is affected by a trend? How do I find peaks in a noisy signal? How do I find local minima?
Perform classification using discriminant analysis, naive Bayes classifiers, and decision trees. Suppose you have a data set containing observations with measurements on different variables (called predictors) and their known class labels. If you obtain predictor values for new observations, could you determine to which classes those
Modeling the United States Economy
Illustrates the use of a vector error-correction (VEC) model as a linear alternative to the Smets-Wouters Dynamic Stochastic General Equilibrium (DSGE) macroeconomic model, and applies many of the techniques of Smets-Wouters to the description of the United States economy.
Lagrange Interpolation Polynomial
If you have a set of N points on a cartesian plane, there will always exist an N-1th order polynomial of the form y = a_0 + a_1.x + a_2.x^2 + ... a_n-1.x^(n-1) which passes through all the points.
QPSK and OFDM with MATLAB System Objects
Simulate a basic communication system in which the signal is first QPSK modulated and then subjected to Orthogonal Frequency Division Multiplexing. The signal is then passed through an
ANOVA with Random Effects
Use anovan to fit models where a factor's levels represent a random selection from a larger (infinite) set of possible levels.
Lithium Battery Cell - Two RC-Branch Equivalent Circuit
Model a lithium cell using the Simscape™ language to implement the elements of an equivalent circuit model with two RC branches. For the defining equations and their validation, see T.
According to LEAN thinking, a company's level of waste tells a lot about its effectiveness, its internal organization, and its strategic planning. Mantain high quality standards and low
What do you know about Electrical Stimuation?
Authors : Andrea Gargano, Paolo Seghetti, Niccolò Biasi
Radar Tracking Using MATLAB Function Block
Use an extended Kalman filter with the MATLAB® Function block in Simulink® to estimate an aircraft's position from radar measurements. The filter implementation is found in the MATLAB
Anti-Windup Control Using a PID Controller
Use anti-windup schemes to prevent integration wind-up in PID controllers when the actuators are saturated. We use the PID Controller block in Simulink® which features two built-in
2-D and 3-D Plots
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
Designing a Guidance System in MATLAB and Simulink
Use the model of the missile airframe presented in a number of published papers (References ,  and ) on the use of advanced control methods applied to missile autopilot design. The
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.