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Ichige Lab (Digital Sensing Lab)
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A lab that explores communications, images, and audio through digital signal processing.
AboutAbout the lab
Building on digital signal processing and applying it to communications, images, and audio
Ichige Lab uses knowledge of digital signal processing and numerical analysis to conduct applied research in mobile communications, image processing, and speech and acoustic signal processing.
For a computer to handle continuous analog signals, the signals must be sampled and converted into digital signals.
Recently, the lab has been incorporating machine learning techniques to add new approaches to conventional techniques.
On the lab's website, it is introduced under the name "Ichige Lab."
Key terms
- Sampling
- Processing that takes values from a continuous analog signal in order to convert it into a digital signal
- Array antenna
- A device with multiple antennas arranged together. It can estimate the direction from which radio waves arrive with high accuracy
- Sound source separation
- A technique for separating each sound source individually from audio data in which multiple sources are mixed
ResearchResearch themes
Building on digital signal processing, the lab works on radio waves, images, and audio. In recent years it has incorporated machine learning to add new approaches to conventional methods.
*Illustrative imageDirection-of-arrival estimation with array antennas
Using an array antenna, in which multiple antennas are arranged together, the lab estimates the direction from which radio waves arrive. Focusing on the accuracy degradation caused by noise and by correlation between arriving waves, it works to improve accuracy.
*Illustrative imageEstimating radio propagation environments in urban areas
In urban areas, reflection and diffraction of radio waves by buildings and terrain affect communication quality. Based on data measured in real urban environments, the lab investigates methods for estimating the radio propagation environment, also using machine learning.
*Illustrative imageImage processing with machine learning
Targeting a wide range of image processing techniques such as reflection removal, deblurring, super-resolution, and image generation, the lab develops new image processing techniques using machine learning algorithms and models.
*Illustrative imageSpeech processing with machine learning
The lab conducts research using machine learning on speech processing techniques such as sound source separation, dereverberation, and speech enhancement. Sound source separation is a technique for separating each sound source individually from mixed audio.
MembersFaculty
Ichige Lab consists of faculty members, postdoctoral researchers, technical staff, and students.
- ProfessorKoichi Ichige
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: “Digital Signal Processor 9997” Ashley Pomeroy / CC BY 3.0 (cropped)
- Direction-of-arrival estimation with array antennas: “HAARP Antenna Array Transmitter Buildings” Secoy, A / CC BY-SA 4.0 (cropped)
- Estimating radio propagation environments in urban areas: “Radio Antenna, Milan, Italy” Antonelse / CC BY-SA 4.0 (cropped)
- Image processing with machine learning: “Image processing post otsus algorithm” Pikez33 / CC BY 1.0 (cropped)
- Speech processing with machine learning: “Speech Processing System SPS-01 (1979)” R.o.t / CC BY-SA 4.0 (cropped)
- Related lab (Shirakawa Lab): “UPS Power Management Module, racks with network cabling in NERSC data center” Derrick Coetzee from Berkeley, CA, USA / CC0 (cropped)
- Related lab (Shima Lab): “EMG - SIMI” D. Gordon E. Robertson / CC BY-SA 3.0 (cropped)
- Related lab (Otsuka Lab (Multimodal Information Processing Lab)): “Eye-tracking setup” Naomi Nota / CC BY-SA 2.0 (cropped)
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