人工智能驅(qū)動(dòng)的數(shù)字通信信號(hào)處理技術(shù)研究

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中圖分類號(hào)：TN92；TP18 文獻(xiàn)標(biāo)志碼：A 文章編碼：1672-7274（2025）05-0047-03

Abstract： Research has shown that signal feature extraction techniques based on deep learning improve accuracy by 40% and processing efficiency by 50% compared to traditional methods. Through the analysis of typical application scenarios suchasspeechrecognitionand imageprocessing，itisfoundthatartificialintellgencetechnologyhassignificant advantages in improving signal processing performance and optimizing system architecture.Deep neuralnetworks exhibit strong adaptability and robustness in complex signal processing， providing new ideas for the intelligent upgrade of digital communication systems.

Keywords： artificial intelligence; digital signal processing; deep learning; neural network; communicationsystem

1 人工智能驅(qū)動(dòng)的數(shù)字信號(hào)處理系統(tǒng)概述

1.1系統(tǒng)基本架構(gòu)

人工智能驅(qū)動(dòng)的數(shù)字信號(hào)處理系統(tǒng)集成了深度學(xué)習(xí)與傳統(tǒng)信號(hào)處理技術(shù)，構(gòu)建了一個(gè)多層次的智能處理框架[1]。（剩余4009字）