Liu’s pathbreaking research aided the transition from analog to digital processing of sound, images and video. His Ph.D. students went on to become leading figures in academia and industry.

Abstract: In the last decade, the signal processing (SP) community has witnessed a paradigm shift from model-based to data-driven methods. Machine learning (ML)—more specifically, deep ...

speech dataset -> audio loading and preprocessing -> time-domain waveform analysis -> FFT frequency-domain analysis -> STFT spectrogram analysis -> MFCC feature extraction -> MFCC statistical features ...

Signals and Systems 6.003 covers the fundamentals of signal and system analysis, focusing on representations of discrete-time and continuous-time signals (singularity functions, complex exponentials ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

The National Security Agency sent out an operational security special bulletin to its employees in February 2025 warning them of vulnerabilities in using the encrypted messaging application Signal, ...

The list of members of the chat aligned with some of the most senior members of the Trump administration. By Talya Minsberg The editor in chief of The Atlantic, Jeffrey Goldberg, was skeptical when he ...

Purdue University’s online Graduate Certificate in Digital Signal Processing (DSP) provides specialized knowledge and practical skills in signal theory, programming, and algorithm development, ...

In recent years, AI and machine learning (ML) have revolutionized various fields of science and technology, with significant advancements in computer vision, natural language processing, and ...

At WIRED’s The Big Interview event, the president of the Signal Foundation talked about secure communications as critical infrastructure and the need for a new funding paradigm for tech. For the first ...