Products

Qimonda Develops High-Speed Data Interface for First-Silicon-Right Chip Based on GDDR5 in Record Tim

"Using MATLAB® and Simulink® we developed a complex design that combined functional and analytical models of our device. Model-Based Design enabled us to perform faster iterations to optimize performance, quality, and power efficiency – before going to silicon. By getting the information we needed from our model, we eliminated the delay and expense of making a test chip." - Dr. Peter Gregorius, Qimonda

Hitachi Accelerates the Development of Engine Knock-Reduction Systems

“On another project using another tool, the software development alone took four months. With MathWorks tools, we completed that development in less than two weeks.” - Jonathan Borg, Hitachi

DSP System Toolbox

Description

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.

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™)