Signal Processing and Machine Learning Signal processing algorithms, architectures, and systems are at the heart of modern technologies that generate, transform, and interpret information across ...

Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. Deep learning ...

Signal and image processing techniques are used in several applications, such as medical imaging, video compression, radar and sonar detection, remote sensing, speech recognition, and facial ...

The Information Processing and Machine Learning Laboratory (IPML) supports research in theoretical algorithm development in digital signal processing, adaptive and nonlinear signal processing, machine ...