Parallel processing in the context of Digital Signal Processing (DSP) refers to the simultaneous execution of multiple processing tasks on data streams or signals to enhance computational efficiency and speed. This is particularly important when working with large datasets or complex algorithms that require significant computational power. Here are some key aspects of parallel processing in DSP: ### Key Concepts 1. **Data-Level Parallelism**: This involves dividing a large dataset into smaller chunks that can be processed concurrently.
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