DSP System Toolbox

Key Features

  • Algorithms available as MATLAB System objects and Simulink blocks
  • Simulation of streaming, frame-based, and multirate systems
  • Signal generators and I/O support for multimedia files and devices, including ASIO drivers and multichannel audio
  • Design methods for specialized filters, including parametric equalizers and adaptive, multirate, octave, and acoustic weighting filters
  • Filter realization architectures, including second-order sections and lattice wave digital filters
  • Signal measurements for peak-to-peak, peak-to-RMS, state-level estimation, and bilevel waveform metrics
  • FFT, spectral estimation, windowing, signal statistics, and linear algebra
  • Algorithm support for floating-point, integer, and fixed-point data types
  • Support for fixed-point modeling and C and HDL code generation
Acoustic noise cancellation algorithm using System objects in MATLAB.
Acoustic noise cancellation algorithm using System objects in MATLAB (above left). Filter coefficients can be plotted to display their values before adaptation (top right) and after adaptation (bottom right).
Next: DSP Algorithms for System Design and Prototyping

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