Signal Analysis and Measurements
MATLAB and Simulink help you analyze signals using built-in apps for visualizing and preprocessing signals in time, frequency, and time-frequency domains to detect patterns and trends without having to manually write code. You can characterize signals and signal processing systems using domain-specific algorithms across different applications such as communications, radar, audio, medical devices, and IoT.
Filter Design and Analysis
Design and analyze digital filters from basic single-rate lowpass or highpass to more advanced FIR and IIR designs, including multirate, multistage, and adaptive filters. You can visualize magnitude, phase, group delay, and impulse response, as well as evaluate filter performance, including stability and phase linearity. Filter designs can be analyzed and simulated to evaluate the effects of different internal structures and fixed-point data types. They can also generate embedded software or hardware implementations. For advanced and application-specific use cases, you can exploit predesigned filters and filter banks, like wavelet-based filter banks, perceptually-spaced filter banks, or channelizers.
Model-Based Design for Signal Processing
When designing signal processing systems, you can use a combination of block diagrams and language-based programming. You can use Simulink to apply Model-Based Design to signal processing systems for modeling, simulation, early verification, and code generation. You can use libraries of blocks with application-specific algorithms for baseline signal processing, audio, analog mixed-signal and RF, wireline and wireless communications, and radar systems. You can visualize live signals during simulations using virtual scopes, including spectrum and logic analyzers, constellations, and eye diagrams.
