Training - Courses

Objective: Install course files and go over agenda.

• Overview of The MathWorks and MathWorks products
• Course setup, materials, and logistics
• "Big picture" view of the course

Objective: Create and manipulate signals using the command line and the SPTool graphical user interface (GUI) in Signal Processing Toolbox, which will be used throughout the course to analyze digital signals, filters, and spectra.

• Creating and importing signals
• Sampling and resampling
• Visualizing signals
• Modeling noise
• Signal statistics and correlation

Objective: Gain an understanding of statistical signal processing. Explore visualization and analysis of signals in the time and frequency domains using spectral analysis.

• Discrete Fourier transform
• Windowing and spectra
• Power spectral density estimation
• Spectrum objects
• Time-varying spectra

Objective: Gain an understanding of linear time-independent (LTI) systems, the basis for filtering applications and the subject of the majority of functions in Signal Processing Toolbox. Discuss various ways to represent such systems, both mathematically and in MATLAB. Investigate the basic input/output behavior of these systems and get an introduction to filtering.

• LTI system representations
• The z-transform
• Frequency and impulse response
• Introduction to filtering
• dfilt objects

Objective: Apply LTI system analysis to filter design and discuss the use of IIR filters from initial performance specifications to analog prototyping and digital design. Become familiar with the Filter Design and Analysis Tool (FDATool) GUI, which will be used for the remainder of the course to assist in filter design.

• Filter specifications
• Filter design with graphical interfaces
• Filter design with filter specification objects

Objective: Continue the application of LTI system analysis to filter design, and discuss the use of FIR filters from specification to digital design. Explore a variety of specialized filters.

• FIR design methods
• Standard band filters
• Arbitrary response filters
• Multiband filters
• Raised cosine filters
• Reducing filter delay
• Frequency domain filtering

Objective: Discuss additional techniques for designing IIR and FIR filters, as well as adaptive and multirate filters. Explore a variety of practical applications.

• Median filtering
• Advanced IIR designs
• Advanced FIR designs
• Adaptive filters
• Multirate filters

Objective: Discuss the process of moving from filter design to hardware implementation and consider various architectures for filter realization and the effects of various quantization schemes. Explore how to generate hardware description language (HDL) code based on a final design..

• Filter architectures
• Filter realization
• Filter quantization
• HDL code generation