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?
Feature Based Panoramic Image Stitching
Automatically create a panorama using feature based image registration techniques.
Fit Exponential Models Using the fit Function
Fit an exponential model to data using the fit function.
Automatically Detect and Recognize Text in Natural Images
Detect regions in an image that contain text. This is a common task performed on unstructured scenes. Unstructured scenes are images that contain undetermined or random scenarios. For
Face Detection and Tracking Using Live Video Acquisition
Automatically detect and track a face in a live video stream, using the KLT algorithm.
Neural Network using Hopfield Associative memory (Auto-associative) Demo
This example was authored by the MathWorks community.
Capstone Project: PCA & AdaBoost concepts are applied to 'Car Detection' from images
| AdaBoost : Implemented in 2-dimensional projection space. (i.e.Number of Pricipal Components = 2) |
You can display multiple plots in different subregions of the same window using the subplot function.
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
Air Traffic Control Radar Design
Model a conceptual air traffic control (ATC) radar simulation based on the radar range equation.
Basic Matrix Operations
Basic techniques and functions for working with matrices in the MATLAB® language.
To create two-dimensional line plots, use the plot function. For example, plot the value of the sine function from 0 to 2\pi :