|Generate colored noise signal|
|Generate swept-frequency cosine (chirp) signal|
|Generate real or complex sinusoidal signals—optimized for HDL code generation|
|Generate real or complex sinusoidal signals|
|Import variable from workspace|
|Generate discrete sine wave|
|Chirp||Generate swept-frequency cosine (chirp) signal|
|Colored Noise||Generate colored noise signal|
|Constant||Generate constant value|
|Constant Ramp||Generate ramp signal with length based on input dimensions|
|Discrete Impulse||Generate discrete impulse|
|Identity Matrix||Generate matrix with ones on main diagonal and zeros elsewhere|
|Multiphase Clock||Generate multiple binary clock signals|
|N-Sample Enable||Output ones or zeros for specified number of sample times|
|NCO||Generate real or complex sinusoidal signals|
|NCO HDL Optimized||Generate real or complex sinusoidal signals—optimized for HDL code generation|
|Random Source||Generate randomly distributed values|
|Signal From Workspace||Import signal from MATLAB workspace|
|Sine Wave||Generate continuous or discrete sine wave|
|Triggered Signal From Workspace||Import signal samples from MATLAB workspace when triggered|
Introduction to real-world sample- and frame-based signals, and how to model those signals in MATLAB® and Simulink®.
Overview of discrete-time signals. Discusses the similarities and differences between using fixed-step solvers and variable-step solvers while handling discrete-time signals.
Overview of continuous-time signals.
Use the Constant block and the Signal From Workspace block to generate signals for sample-based processing.
Use the Sine Wave block and the Signal From Workspace block to generate signals for frame-based processing.
Use the Concatenate block to create multichannel signals for sample-based processing.
Use the Concatenate block to create multichannel signals for frame-based processing.
Learn how to determine the sample and frame rates of signals in your model.
Configure the Simulink environment to minimize delay and increase simulation performance.