DSP System Toolbox
What is Digital Signal Processing (DSP)?
Digital signal processing (DSP) involves using various techniques to analyze, modify, and transmit digital signals. These signals are typically derived by sampling continuous-time analog signals or generated directly by digital systems. As digital signals are discrete in time and quantized (the process of mapping continuous infinite values to a smaller set of discrete finite values), they can be processed quickly and efficiently by digital computers, enabling fast manipulation of information.
Digital signal processing is used in various fields, including wireless communications, audio and video processing, medical imaging, radar and sonar systems, control systems, and biomedical signal processing. With tools like MATLAB, Simulink®, and add-ons such as Signal Processing Toolbox™, DSP System Toolbox™, and Radar Toolbox, you can analyze, design, and develop digital signal processing systems.
what is DSP System Toolbox?
A DSP system (Digital Signal Processing system) refers to a system that processes signals in a digital form, typically using a computer or specialized hardware like microcontrollers or digital signal processors (DSP chips). It involves the manipulation, analysis, and transformation of signals such as sound, images, or data into a format that a system can process and analyze.
DSP System Toolbox offers a variety of algorithms, apps, and scopes for designing, simulating, and analyzing signal processing systems in both MATLAB and Simulink. It enables you to model real-time DSP systems for various applications such as communications, radar, audio, medical devices, IoT, and more.
With this toolbox, you can design and analyze filters like FIR, IIR, multirate, multistage, and adaptive filters. It also allows you to stream signals from variables, data files, and network devices for system development and testing. Tools such as the Time Scope, Spectrum Analyzer, and Logic Analyzer let you visualize and measure streaming signals in real time. For desktop prototyping and deployment to embedded processors (including ARM® Cortex® architectures), the toolbox supports C/C++ code generation. It also includes features like bit-accurate fixed-point modeling and HDL code generation for filters and other algorithms.
These algorithms are accessible as MATLAB functions, System objects, and Simulink blocks.
