Buffer, interruttori e contatori
Convertire le velocità del segnale e le dimensioni dei fotogrammi in Simulink® i blocchi di buffering del fotogramma, come i blocchi Buffer, Unbuffer e Delay Line. Implementare i buffer FIFO e LIFO utilizzando i blocchi Queue, Stack in Simulink e l'oggetto dsp.AsyncBuffer
in MATLAB®. È inoltre possibile contare gli eventi, rilevare i bordi ed eseguire azioni quando si verificano gli eventi utilizzando i blocchi Switch e Counter in DSP System Toolbox™.
Oggetti
dsp.AsyncBuffer | FIFO buffer |
Funzioni
rebuffer_delay | Number of samples of delay introduced by buffering and unbuffering operations |
Blocchi
Argomenti
- Sample- and Frame-Based Concepts
Explore basic signal concepts in the context of a Simulink model. Learn more about sample-based processing and frame-based processing.
- Buffering and Frame-Based Processing
Convert signals of frame size
1
into signals of frame size greater than1
, and vice versa. - Convert Sample and Frame Rates in Simulink Using Frame Rebuffering Blocks
Learn how frame rebuffering blocks impact the sample rate and frame rate of signals in Simulink models.
- Delay and Latency
Configure the Simulink environment to minimize delay and increase simulation performance.
- Why Does Reading Data from the dsp.AsyncBuffer Object Give a Dimension Mismatch Error in MATLAB Function Block?
Resolve the dimension mismatch error when you read data from an Async buffer inside the MATLAB function block.
- Why Does the dsp.AsyncBuffer Object Error When You Call read Before write?
Initialize the async buffer by calling either setup or write before the first call to read.