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MATLAB Examples

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Dcdemo_06

DC Motor Control

The comparison of three DC motor control techniques for tracking setpoint commands and reducing sensitivity to load disturbances:

Included in: Control System Toolbox

Demo_compactdaq_accelerometer_01

Acquire Data from an Accelerometer

Acquire and display data from an accelerometer attached to a vehicle driven under uneven road conditions.

Included in: Data Acquisition Toolbox

Defaultimage

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?

Included in: Signal Processing Toolbox

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Contrast Enhancement Techniques

Several image enhancement approaches. Three functions are particularly suitable for contrast enhancement: imadjust , histeq , and adapthisteq . This example compares their use for enhancing grayscale and truecolor images.

Included in: Image Processing Toolbox

Respdemo_13

Plotting System Responses

Plot the time and frequency responses of SISO and MIMO linear systems.

Included in: Control System Toolbox

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Most Viewed

2434

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

Removinghighfrequencynoisefromanecgsignalexample_01

Removing High-Frequency Noise from an ECG Signal

Lowpass filter an ECG signal that contains high frequency noise.

Sldemo_auto_climatecontrol_04

Simulating Automatic Climate Control Systems

Simulate the working of an automatic climate control system in a car using Simulink® and Stateflow®. You can enter a temperature value you would like the air in the car to reach by double

2371

Introduction to Streaming Signal Processing in MATLAB

Use System objects to do streaming signal processing in MATLAB. The signals are read in and processed frame by frame (or block by block) in each processing loop. You can control the size of each

Coderdemo_averaging_filter_02

Averaging Filter

The recommended workflow for generating C code from a MATLAB function using the 'codegen' command. These are the steps: 1. Add the %#codegen directive to the MATLAB function to indicate that

Sldemo_radar_eml_02

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

Most Recent

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cat_atom.m

This example was authored by the MathWorks community.

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cell_list_dist_matrix_atom.m

Original reference to the cell list algorithm: Heinz, T.N. & Hunenberger, P.H. "A fast pairlist-construction algorithm for molecular simulations under periodic boundary conditions." J

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center_atom.m

This example was authored by the MathWorks community.

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charge_atom.m

This example was authored by the MathWorks community.

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charge_clayff_atom.m

This example was authored by the MathWorks community.

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charge_interface15_charge.m

This example was authored by the MathWorks community.

Getting Started

Sldemo_autotrans_10

Modeling an Automatic Transmission Controller

Model an automotive drivetrain with Simulink®. Stateflow® enhances the Simulink model with its representation of the transmission control logic. Simulink provides a powerful

Sldemo_auto_climatecontrol_04

Simulating Automatic Climate Control Systems

Simulate the working of an automatic climate control system in a car using Simulink® and Stateflow®. You can enter a temperature value you would like the air in the car to reach by double

Aero_atcscript_04

Air Traffic Control Radar Design

Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.

Sldemo_antiwindup_16

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

26174

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 :

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Matrix Manipulation

Do some basic matrix manipulations in MATLAB®.

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