Jul 27, 2020 · Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting to make some waves in deep learning.

Mar 9, 2023 · Our goal was to explore the intersection of AI/ML with signal processing to determine whether neural networks can offer improvements in processing efficiency, accuracy, and scalability – particularly when compared to traditional signal processing techniques.

May 13, 2019 · Today we will highlight signal processing applications using deep learning techniques. Deep Learning developed and evolved for image processing and computer vision applications, but it is now increasingly and successfully used on signal and time series data.

Dec 17, 2010 · The purpose of this article is to introduce the readers to the emerging technologies enabled by deep learning and to review the research work conducted in this area that is of direct relevance to signal processing.

Sep 11, 2024 · Digital signal processing as a deep learning framework can lead to a new highly efficient paradigm for cost-effective digital signal processing designes with low complexity. It is known that...

Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning techniques for audio signal processing.

Deep learning has revolutionized signal and image processing by enabling the creation of complex algorithms with many applications. This study examines deep learning signal and image processing optimization and hardware acceleration strategies.

Oct 27, 2024 · Digital Signal Processing (DSP) and Digital Image Processing (DIP) with Machine Learning (ML) and Deep Learning (DL) are popular research areas in Computer Vision and related fields. We highlight transformative applications in image enhancement, filtering techniques, and pattern recognition.

Since 2006, deep learning—a new area of machine learning research—has emerged [7], impacting a wide range of signal and information processing work within the traditional and the new, widened scopes.

Learn how to apply deep learning to signal processing applications. Read three examples where deep learning can be applied usefully to signal data projects using CNN, LSTM, and a fully connected neural network. Download the white paper to learn more.