Towards Real Time GPU Decoding of Complete Complementary Coded Synthetic Transmit Aperture

This paper presents a novel, computationally efficient GPU-Based decoding method for Coded Synthetic Transmit Aperture ultrasound imaging using Complete Complementary Codes. The proposed method dramatically reduces the computational complexity typically associated with decoding CCC-encoded signals, which conventionally requires N<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> correlation operations for an array with N elements. By exploiting the structure of the CCC encoding matrix, our method reduces the number of required operations to just 2N. We conducted simulations using 128-element and 256-element linear arrays to compare the proposed method with the conventional decoding approach. For a 128-element array, the proposed method reduced decoding time from 17.03 seconds to 0.063 seconds. The proposed approach offers a significant reduction in computational time, making it highly suitable for real-time ultrasound imaging and other applications requiring fast, efficient decoding of CCC signals