Sensing and Information Representation
| Course Purpose |
|---|
| The goal of this course if to understand both various types of sensing devices that can digitize the real world and information processing methods for time-series data. |
| Learning Goals |
| Students should be able to acquire the following knowledge on real-world sensing: - operating principles for various sensing devices, - analog filters for sensor readings, e.g., noise reduction, and analog to digital converters, - various information processing methods for digitized time-series data. |
| Topic | |
|---|---|
| Session 1 | Lecture overview. What is sensing? Examples of using sensor information in the real world. |
| Session 2 | Error and precision ・What is sensor error? ・Error distribution ・Least-squares method ・Significant digits |
| Session 3 | Sensing device and measurement principle ・What is a sensing device? ・Energy conversion and signal conversion ・Basic structure of sensor processing ・Wheatstone bridge and measurement principle |
| Session 4 | Semiconductors and analog signal processing ・What is a semiconductor? ・diode ・Transistor ・Semiconductors as sensors |
| Session 5 | Operational amplifiers and analog arithmetic processing ・Resistance and impedance ・LC analog filter ・What is an operational amplifier? ・Analog arithmetic processing using operational amplifiers |
| Session 6 | A/D conversion and representation of digital data ・What is A/D conversion? ・A/D conversion processing and its circuit implementation ・Expression of digital values ・Basic calculation of digital values |
| Session 7 | Sampling theorem and features of digital signal processing ・Meaning of sample hold during A/D conversion ・Pros and cons of digitization ・What is appropriate sampling? ・Sampling theorem |
| Session 8 | Time series digital filter (impulse response and convolution operation) ・Impulse response by impulse signal and discrete-time linear system ・Implementation of discrete-time linear system by convolution operation ・Time series digital filter |
| Session 9 | Representation of video information ・Image sensing and representation of digital images ・Color expression and color system ・Color and other two-dimensional distribution information and its use |
| Session 10 | Image filtering by convolution operation ・Image processing operations and their types ・Edge extraction and image differentiation ・Implementation of image differentiation by operator |
| Session 11 | Fourier transform of time series digital signal and digital filter ・Fourier series and Fourier transform ・Fourier transform and inverse Fourier transform ・Preprocessing by window function ・Frequency analysis by FFT ・Digital filter |
| Session 12 | Parameter space for image recognition ・Image recognition and its examples ・Introduction of parameter space ・Hough transform, general Hough transform ・Two-dimensional discrete Fourier transform ・Filtering in the spatial frequency domain |
| Session 13 | General practice 1 |
| Session 14 | General practice 2 |