18-795 – Advanced Bioimage Informatics
12 units
The goal of this course is to expose students to multiresolution signal processing methods and their use in bio (medical) imaging applications as well as to guide students through the steps of a research process. The course is roughly divided in two parts:
- The first part introduces the necessary mathematical tools with a great emphasis on intuitive understanding of how they operate on real-life signals.
- The second part is project-based, where, through a bio(medical) imaging project, students will learn how to choose a research area, formulate a problem, research previous work, propose solutions, carry out experiments and interpret results. The focus is on training students to become a researcher. To that end, students will write papers in a typically conference format, rehearse presentations with feedback both from the instructor and other students in the class, as well as present projects as part of the BME Seminar.
Upon successful completion of this course, students will be able to:
- Explain the importance and use of signal representations in building sophisticated signal processing tools such as wavelets;
- Describe how Fourier theory fits in a bigger picture of signal representations;
- Use basic multirate building blocks, such as a two-channel filter bank and characterize the discrete wavelet transform and its variations;
- Construct a time-frequency decomposition to fit the signal provided, and;
- Apply these concepts to solve a practical problem through an independent project.
2 hrs. lec., 2 hrs. rec./lab
Prerequisites: 18-491 or 18-791, and senior or graduate standing.
Last updated on March 21, 2007
ECE classifications
- Graduate areas
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Signal Processing and Communications
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Past semesters
F06, F05
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Please note that the course history information is incomplete
and/or may reflect different courses offered under the same course
number.