Accelerating the pace of engineering and science

Introduction to MATLAB for Signal Processing

Charulatha Kalluri, MathWorks

This webinar will provide an overview of major signal processing capabilities of MATLAB® and related toolboxes. Attendees will discover how to more effectively solve problems encountered in the analysis, design, implementation, and verification of signal processing systems.

Through demonstrations, we will showcase features and capabilities of Signal Processing Toolbox, Filter Design Toolbox, Fixed-Point Toolbox, and other related products, and show how these products can help you tackle a wide range of signal processing problems and challenges, including:

  • Designing digital filters including multirate and adaptive filters
  • Applying specification-based filter design methodology (FDESIGN objects)
  • Statistical signal processing, including spectral analysis of signals via SPECTRUM objects
  • Converting a design from a floating-point to a fixed-point representation
  • Accelerating fixed-point MATLAB code execution speed through automatic C code generation with Simulink®
  • Estimating the computational complexity of filter structures
  • Implementing a filter as synthesizable VHDL® or Verilog® code

Product Focus

  • Signal Processing Toolbox
  • DSP System Toolbox
  • Fixed-Point Designer
  • Filter Design HDL Coder
  • Simulink

Recorded: 17 Jun 2008