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I/O Optimization

I/O improvements using frame-to-sample conversion, multiple sampling handling, and I/O thresholding

Optimize and reduce the I/O for algorithms that use large inputs in domains such as image processing, digital signal processing, and radar applications. To optimize the I/O needed for your design, use frame-to-sample conversion, multiple sampling handling, or I/O thresholding.

Functions

hdl.npufunApply neighborhood processing and element-wise operations to incoming image or matrix for frame-to-sample conversion (Since R2022b)
hdl.iteratorfunApply iterative operation to an incoming image or matrix for frame-to-sample conversion (Since R2022b)

Blocks

Neighborhood Processing SubsystemCreate algorithm that follows the neighborhood pattern (Since R2022b)

Topics