Signal and Image Processing
Decipher the world's data with signal and image processing research, a dynamic field that merges mathematical theory and practical implementation to acquire, analyze, and manipulate information, enabling everything from medical diagnostics to autonomous driving.
In an increasingly data-driven world, signal and image processing engineers play a critical role in designing and implementing sophisticated techniques to process and analyze signals and images. These techniques are vital for a wide array of applications, including enhancement, filtering, data compression and feature extraction. Our researchers are at the forefront of this dynamic field, tackling fundamental theoretical challenges while exploring a diverse range of real-world applications.
Find faculty members who specialize in Signal and Image Processing.
Possible Careers
- Signal processing engineer
- Algorithm engineer
- Machine learning engineer
- Image processing scientist/engineer
- Field-programmable gate arrays engineer
- Data scientist/analyst
Areas of Specialization
Signal and image processing is a core discipline within electrical and computer engineering that deals with the analysis, manipulation, and synthesis of data. It provides the fundamental theories and algorithms to extract, enhance, and compress information from a wide variety of signals, including audio, video, sensor data, and medical scans. This field is the bedrock of modern technologies like MP3 players, digital cameras, medical imaging (e.g., magnetic resonance imaging (MRI)), and facial recognition. It's a highly mathematical area that blends linear algebra, probability, and statistics with a focus on real-world applications.
Current Photonics Research
Current photonics research is an intensive field focused on harnessing light across diverse scales. Key areas include manipulating light at the nanoscale through nanoplasmonics and the broader discipline of nanophotonics, alongside exploring high-frequency THz photonics. Research leverages advanced laser technology for ultrafast and nonlinear photonics and precision manufacturing via laser micro/nano-machining. Applications span integrated optics, bio-photonics (for imaging), opto-microfluidics and practical environmental sensing.
Current Signal and Image Processing Research
Current Signal and Image Processing Research is a wide-ranging field focused on analyzing and enhancing various data types. Core work includes theoretical advances in detection and estimation theory and sampling theory. Applied research covers audio and acoustic processing, innovative compressed sampling, and essential applications like radar, sonar, and communications signal processing. A key area is image and video processing, including vital applications in biomedical imaging and analysis.