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Signal Processing with MATLAB
Signal Processing and Communications
Signal Processing with MATLAB
Learn to analyze signals and design signal processing systems
Complimentary Services: Post training email support & 1-hr consultation session within 1 month after the course completion!
Course
Highlights
This two-day course shows how to analyze signals and design signal processing systems using MATLAB®, Signal Processing Toolbox™, and DSP System Toolbox™.
Topics include:
- Creating and analyzing signals
- Performing spectral analysis
- Designing and analyzing filters
- Designing multirate filters
- Designing adaptive filters
Who Should
Attend
MATLAB Fundamentals or equivalent experience using MATLAB, and a good understanding of signal processing theory, including linear systems, spectral analysis, and filter design
Course
Prerequisites
MATLAB Fundamentals or equivalent experience using MATLAB, and a good understanding of signal processing theory, including linear systems, spectral analysis, and filter design
Course
Benefits
After completing this training, you will gain knowledge and skills on:
- Create and import signals in the MATLAB workspace
- Visualize signals in multiple ways
- Use appropriate spectral analysis techniques for signals of interest
- Analyze LTI systems for frequency and impulse response
- Design and implement digital filters from a given specification
- Use MathWorks apps to analyze signals and design filters
- Design multirate filters
- Design adaptive filters
Partners
Upcoming Program
- Please keep me posted on the next schedule
- Please contact me to arrange customized/ in-house training
Course Outline
Signal Generation and Common Signal Analysis
Objective: Generate sampled and synthesized signals from the command line and visualize
them. Use Signal Analyzer app to interactively visualize, measure, and analyze signals in both
time and frequency domains.
- Creating discrete-time signals in the MATLAB environment
- Sampling and aliasing
- Creating signals using MATLAB timetables
- Performing time and spectral analysis with the Signal Analyzer app
- Generating streaming signals using System objects
Spectral Analysis
Objective: Understand different spectral analysis techniques and the use of windowing and zero padding. Become familiar with the spectral analysis tools in MATLAB and explore nonparametric (direct) and parametric (model-based) techniques of spectral analysis.
- Discrete Fourier transform
- Windowing and zero padding
- Power spectral density estimation
- Time-varying spectra
- Using a spectrum analyzer in MATLAB
Linear Time Invariant Systems
Objective: Represent linear time-invariant (LTI) systems in MATLAB and compute and visualize different characterizations of LTI systems.
- LTI system representations
- z-transform
- Frequency and impulse response
- Visualizing filter properties
- Applying filters to finite and streaming signals
Filter Design
Objective: Design filters interactively using the Filter Design app. Design filters from the command line using filter specification objects.
- Filter specifications
- Interactive filter design
- Filter design function and live task
- Filter design with filter specification objects
- Reducing filter delay
- Frequency-domain filtering
Multirate Filters
Objective: Understand principles of polyphase multirate filter design. Design multirate interpolating and decimating filters. Design multistage and narrow-band filters.
- Downsampling and upsampling
- Noble identities and polyphase FIR structures
- Polyphase decimators and interpolators
- Design multistage and interpolated FIR filters
Adaptive Filter Design
Objective: Design adaptive filters for system identification and noise cancellation.
- Basics of adaptive filtering
- Perform system identification
- Perform noise cancellation
- Improve adaptive filter efficiency
