Vanderbilt University - Introduction to Data, Signal, and Image Analysis with MATLAB
- Offered byCoursera
Introduction to Data, Signal, and Image Analysis with MATLAB at Coursera Overview
Duration | 5 hours |
Start from | Start Now |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Go to Website  |
Credential | Certificate |
Introduction to Data, Signal, and Image Analysis with MATLAB at Coursera Highlights
- Earn a Certificate of completion from Vanderbilt University on successful course completion
- Instructor - Jack Noble - Assistant Professor, Vanderbilt University
- Shareable Certificate
- Financial Aid Available
Introduction to Data, Signal, and Image Analysis with MATLAB at Coursera Course details
- This course is designed for those who want to learn Data, Signal, and Image Analysis with MATLAB.
- This Specialization aims to take learners with little to no programming experience to being able to create MATLAB programs that solve real-world problems in engineering and the sciences. The focus is on computer programming in general, but the numerous language features that make MATLAB uniquely suited to engineering and scientific computing are also covered in depth. Topics presented range from basic programming concepts in the first course, through more advanced techniques including recursion, program efficiency, Object Oriented Programming, graphical user interfaces in the second course, to data and image analysis, data visualization and machine learning in the third course.
- MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This course provides an introduction on how to use MATLAB for data, signal, and image analysis. After completing the course, learners will understand how machine learning methods can be used in MATLAB for data classification and prediction; how to perform data visualization, including data visualization for high dimensional datasets; how to perform image processing and analysis methods, including image filtering and image segmentation; and how to perform common signal analysis tasks, including filter design and frequency analysis.
Introduction to Data, Signal, and Image Analysis with MATLAB at Coursera Curriculum
Week 1 - Introduction
Syllabus
How to Get MATLAB
Week 2 - Data analysis in MATLAB
Loading and Inspecting Datasets
Detecting Outliers
Histogram plots
Scatter plots
PCA
Smartphone activity classifier
Predicting Fuel Efficiency Using Regression Trees
Predicting Fuel Efficiency Using Gaussian Process Regression
Week 3 -Signal Analysis in Matlab
Signals as Time Dependent Data
Signal Interpolation
Audio Analysis
Convolution Filtering
Signal Frequency Analysis
Sampling and Aliasing
Reverse Audio (practice exercise)
Spectrum plotting (practice exercise)
Filter Quality Analysis (practice exercise)
Week 4 - Image Analysis in Matlab
Image Representation
Image Resampling
Image Intensity & Color Distributions
Image Filtering
Image Segmentation
Cropping (practice exercise)
Color Images (practice exercise)
Motion1 (practice exercise)
Convex Hull (practice exercise)
Dilation and Erosion (practice exercise)
Week 5- Final Project
Introduction to Data, Signal, and Image Analysis with MATLAB at Coursera Admission Process
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