DSP System Toolbox

Introduction

DSP System Toolbox™ provides algorithms and tools for the design and simulation of signal processing systems. These capabilities are provided as MATLAB^® functions, MATLAB System objects™, and Simulink^® blocks.

The system toolbox includes design methods for specialized FIR and IIR filters, FFTs, multirate processing, and DSP techniques for processing streaming data and creating real-time prototypes. You can design adaptive and multirate filters, implement filters using computationally efficient architectures, and simulate floating-point digital filters. Tools for signal I/O from files and devices, signal generation, spectral analysis, and interactive visualization enable you to analyze system behavior and performance. For rapid prototyping and embedded system design, the system toolbox supports fixed-point arithmetic and C-code generation.

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).

Key Features

• Algorithms available as MATLAB functions, 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 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
• Algorithms for FFT, spectral estimation, windowing, signal statistics, and linear algebra
• Algorithm support for floating-point, integer, and fixed-point data types
• Automatic C-code generation (with MATLAB Coder™ or Simulink Coder™)