DSP System Toolbox

Design and simulate streaming signal processing systems

DSP System Toolbox provides algorithms, apps, and scopes for designing, simulating, and analyzing signal processing systems in MATLAB and Simulink. You can model real-time DSP systems for communications, radar, audio, medical devices, IoT, and other applications.

With DSP System Toolbox you can design and analyze FIR, IIR, multirate, multistage, and adaptive filters. You can stream signals from variables, data files, and network devices for system development and verification. The Time Scope, Spectrum Analyzer, and Logic Analyzer let you dynamically visualize and measure streaming signals. For desktop prototyping and deployment to embedded processors, including ARM^® Cortex^® architectures, the system toolbox supports C/C++ code generation. It also supports bit-accurate fixed-point modeling and HDL code generation from filters and other algorithms.

Algorithms are available as MATLAB functions, System objects, and Simulink blocks.

A Simulink model with a signal filtered by lowpass FIR and highpass IIR filters. Foreground windows show a Spectrum Analyzer comparing signal spectra and a Filter Visualizer with dynamic filter responses.

Simulink model that implements a tunable lowpass FIR filter and a tunable highpass IIR filter with a dial to set the Fc value. The filtered output signals and the original signal are input to a scope for visualization.

Signal Processing Blocks in Simulink

DSP System Toolbox offers blocks for algorithms, filters, transforms, and linear algebra. Apply frame-based processing for higher throughput and more accurate modeling of real-time systems, or multirate filters to simulate different sample rates.

Documentation | Examples

App window with Filter Analyzer: right graph shows magnitude response of five different simulated filters. Left panel lists filters and color; lower left panel shows Decimator multirate filter.

Design and Analyze Digital Filters

Use the Filter Builder app and Filter Designer to design and implement FIR, IIR, multistage, multirate, and adaptive filters. Design based on frequency selectivity criteria or via optimization-driven algorithms. Use the Filter Analyzer app to compare filter responses.

Design: Documentation | Examples

Implementation: Documentation | Examples

The Spectrum Analyzer app: upper panel displays the signal source in blue and yellow shaded areas to represent the amplifier, and lower panel displays ACPR measurements for the amplifier.

Signal Visualization with Scopes

Visualize signal data in the time or frequency domain with Scopes. Similar to established benchtop signal analyzers, scopes provide measurements and statistics to analyze your data. Use Spectrum Analyzer to display spectrum and spectrogram views.

Documentation | Examples

A Simulink model toggles between Lowpass and Bandpass Filters responses being input into a Baseband Transfer Function subsystem. The subsystem outputs phase and magnitude responses to array plot blocks; excitation feeds back into filters.

Signal Transforms, Estimation, and Statistics

Transform signals between the time and frequency domains. Use blocks to implement parametric or non-parametric estimation, and evaluate streaming signal statistics.

Documentation | Examples

Embedded DSP Design and Implementation

Generate source code to accelerate, prototype, and deploy signal processing algorithms with MATLAB Coder and Simulink Coder. Use Embedded Coder to generate optimized software through core-specific libraries and SIMD implementations.

C Code Generation in DSP System Toolbox

Documentation | Examples

A Time Scope displays four plots aligned vertically: the first two show three-phase voltage and current, the third displays faults detected, and the fourth is the signal loss during the faults.

AI for DSP System Models

Use AI-powered signal processing algorithms in Simulink. Detect anomalies in signals using deep learning models and extract deep signal features using Wavelet Scattering.

AI-Based Anomaly Detection

Documentation | Examples