Publisher's Synopsis
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. The filter designer app is a user interface for designing and analyzing filters quickly. Filter designer enables you to design digital FIR or IIR filters by setting filter specifications, by importing filters from your MATLAB workspace, or by adding, moving or deleting poles and zeros. Filter designer also provides tools for analyzing filters, such as magnitude and phase response and pole-zero plots. The Simulink Data Inspector and the Logic Analyzer enable you to stream, record, and analyze signals in your model. - Use the Simulink Data Inspector to compare variable-step data, fixed-step solver data from Simulink and Simulink Coder, and fixed-step output with external data. - Use the Logic Analyzer to visualize, measure, and analyze transitions and states over time. The Logic Analyzer is available if you have DSP System Toolbox installed. You can measure statistics of streaming signals in MATLAB and Simulink along each independent data channel using the moving statistics System objects and blocks. Statistics such as average, RMS, standard deviation, variance, median, maximum, and minimum change as the data changes constantly with time. With every data sample that comes in, the System objects and blocks compute the statistics over the current sample and a specific window of past samples. The moving statistics System objects measure statistics of streaming signals in MATLAB. The Matrices and Linear Algebra library provides three large sublibraries containing blocks for linear algebra; Linear System Solvers, Matrix Factorizations, and Matrix Inverses. A fourth library, Matrix Operations, provides other essential blocks for working with matrices.
