The field of signal processing solves creative problems and cultivates new intellectual abilities by processing, analyzing, and learning various types of signals, big data, and knowledge in an engineering manner. Data science and engineering, artificial intelligence, machine learning, and distributed computing are topics of study. This is a research area that processes, analyzes, and learns various types of signals (text, voice/audio, video, bio-signals), big data, and knowledge using computers and digital devices. Through big data analysis, we can find solutions to problems that are difficult to solve with existing mathematical/scientific theories and produce new knowledge. Detailed research areas include speech, image processing, artificial intelligence, and machine learning. Well-known intelligent computational systems include intelligent assistants such as Amazon's Alexa, Google self-driving cars, and artificial intelligence automatic diagnosis systems such as IBM Watson.

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Undergraduate courses for signal processing include data structures, signals and systems, digital signal processing, communication networks, computer architecture, and probability and random variables.

 

Speech & Image Processing
 

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Speech and image processing develops algorithms and technologies that acquire, analyze, process, and synthesize voice, image, and video signals from various sensors. Speech processing is a research field that analyzes the characteristics of voice signals, the most basic means of human communication, using statistical and mathematical models so that computers can understand who spoke what words by how he/she felt. Image processing is a research field that analyzes and processes images and videos obtained from cameras using mathematical models. Such analysis can be extended to systems for image compression, image restoration, and fingerprint recognition. Applied research topics related to voice and image processing include voice recognition, medical imaging, biometric authentication, computer vision, computer graphics, and augmented reality, which are promising research topics that are essential in the era of big data. 

 

Research labs and advising faculty conducting research in this area are listed below.

 

No.	Research Lab	Faculty	Office	Phone (82-2-2123-)	Email
1	Super Resolution Image Processing Lab	KANG, Moon Gi	C524	4863	mkang@yonsei.ac.kr
2	Digital Signal Processing Lab	KANG, Hong-Goo	C523	2766	hgkang@yonsei.ac.kr
3	Wireless and Internet Lab	KIM, Young-Yong	C714	2861	y2k@yonsei.ac.kr
4	Computational Intelligence Lab	KIM, Euntai	C613	2863	etkim@yonsei.ac.kr
5	Digital Information Processing Lab	KIM, Hagbae	C614	2778	hbkim@yonsei.ac.kr
6	Digital Image Media Lab	SOHN, Kwang-Hoon	C125	2879	khsohn@yonsei.ac.kr
7	Image Video Pattern Recognition Lab	LEE, Sangyoun	C526	5768	syleee@yonsei.ac.kr
8	Multidimensional Insight Lab	LEE, Sanghoon	C715	2767	slee@yonsei.ac.kr
9	High Dimensional Signal Processing Lab(HDSP)	LEE, Chulhee	C528	2779	chulhee@yonsei.ac.kr
10	Smart Learning & Vision Lab	HAM, Bumsub	C411	2768	mimo@yonsei.ac.kr
11	Machine Intelligence Lab	TohKarAnn	C216	5864	katoh@yonsei.ac.kr
12	Multimedia Security Lab	Teoh BengJin	C225	5772	bjteoh@yonsei.ac.kr