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 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?
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
Use Simulink® to model a toy quadcopter, based on the Parrot (R) series of mini-drones, to help estimate the snow levels on the MathWorks Apple Hill campus roof.
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
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.
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
Air Traffic Control Radar Design
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
Modeling a Fault-Tolerant Fuel Control System
Combine Stateflow® with Simulink® to efficiently model hybrid systems. This type of modeling is particularly useful for systems that have numerous possible operational modes based on
Three-dimensional plots typically display a surface defined by a function in two variables, z = f(x,y) .
You can display multiple plots in different subregions of the same window using the subplot function.