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Zhang Lab
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A lab that studies signal processing for audio, images, and other signals, from fundamentals to applications.
AboutAbout the lab
Exploring multimedia signals through theory and applications.
The Zhang Lab studies technologies for processing multimedia signals such as audio and images, from both fundamental theory and applications.
In fundamental theory, it works on filter design, wavelet transforms, and graph signal processing, which handles data on networks.
In applications, it studies still-image and video compression, noise removal, analysis of optical illusion images, and image fusion, which combines multiple images into one.
Key terms
- Wavelet transform
- A transform that analyzes a signal in time and frequency simultaneously, enabling analysis that the conventional Fourier transform cannot do
- Filter bank
- A combination of multiple filters. It splits a signal into frequency components for processing and then recombines them
- Graph signal processing
- A method that treats data on a network as graph signals and processes it efficiently using the structure of the graph
ResearchResearch themes
The lab studies multimedia signal processing from many angles, covering both fundamental theory and applications. On the fundamental side it addresses filters, wavelet transforms, and graph signal processing; on the application side, image compression and noise removal.
*Illustrative imageFilter Design and Optimization
Filters are a basic processing tool in signal processing, and filter design is an optimization problem of finding the optimal coefficients that approximate a desired frequency response. Design methods include approximations such as maximally flat and equiripple.
*Illustrative imageMultirate Signal Processing and Filter Banks
This area deals with raising and lowering the sampling rate using filters, to move between signals with different sampling rates. A filter bank splits a signal into frequency components for processing and then recombines them, and it is an actively researched topic today.
*Illustrative imageWavelet Transforms and Time-Frequency Analysis
The wavelet transform enables simultaneous analysis in time and frequency, which the Fourier transform could not do, and is widely applied to audio and image processing. A basis suited to the purpose can be chosen, and designing the corresponding perfect-reconstruction filter bank is important.
*Illustrative imageGraph Signal Processing
Huge amounts of data collected from social networks, sensor networks, and the like are treated as graph signals. The lab aims to develop algorithms that extend conventional signal processing concepts and use graph structure to process such data efficiently.
MembersFaculty
The Zhang Lab's members consist of faculty, and master's and undergraduate students.As of 2025
- Faculty memberXi Zhang
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Signal processors @ MUSICVOX” AKX_ from Finland / CC BY 2.0 (cropped)
- Filter Design and Optimization: “Negative-group-delay-filter-frequency-magnitude-response” Em3rgent0rdr / CC0 (cropped)
- Multirate Signal Processing and Filter Banks: “Tree structured analysis filter bank” Chaitu ASU / CC BY-SA 4.0 (cropped)
- Wavelet Transforms and Time-Frequency Analysis: “Four continuous time-frequency distributions of a Gaussian - numerical illustration” T / CC BY-SA 4.0 (cropped)
- Graph Signal Processing: “Signal flow graph example” Brews ohare / CC0 (cropped)
- Related lab (Yoshida Lab): “Sunflowers image processed by Deriche edge detector” Zbysek.nemec / CC BY-SA 3.0 (cropped)
- Related lab (Nishi Lab): “Stardust - NC - shake test” JPL / Public domain (cropped)
- Related lab (Akita Lab): “Radar tower at RAF Leeming” amcD300 / CC BY 2.0 (cropped)
- Related lab (Takahashi Lab): “Mixing and mastering” Max Rayden / CC BY-SA 4.0 (cropped)
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