Measuring Signal Similarities
Measure signal similarities. It will help you answer questions such as: How do I compare signals with different lengths or different sampling rates? How do I find if there is a signal or just noise in a measurement? Are two signals related? How to measure a delay between two signals (and how do I align them)? How do I compare the frequency content of two signals?
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
Wind Farm (IG)
Phasor simulation of a 9-MW wind farm using Induction Generators (IG) driven by variable-pitch wind turbines.
Build a Digital Voltmeter
Build a digital voltmeter using MATLAB® Support Package for Raspberry Pi® Hardware.
Fit Exponential Models Using the fit Function
Fit an exponential model to data using the fit function.
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
Lowpass Filter Design in MATLAB
Design lowpass filters. The example highlights some of the most commonly used command-line tools in the DSP System Toolbox. Alternatively, you can use the Filter Builder app to implement
Illustrates a workflow for modeling an audio processing application in MATLAB and deploying C/C++ code to create a standalone application on a Raspberry Pi. MATLAB coder generates
Run MATLAB Code on Raspberry Pi Hardware
Illustrates a MATLAB® Coder™ based workflow for running MATLAB code on Raspberry Pi. MATLAB Coder generates readable and portable C / C++ code from MATLAB code, supporting most of the MATLAB
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :
Simulation of a Bouncing Ball
Use two different approaches to modeling a bouncing ball using Simulink®.
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
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .