The instructor lectures on the digitization of signal and orthogonal transforms including the Discrete Fourier transform for connecting a time and frequency domains.
The instructor lectures on the coding method of time-series signal including examples.
In addition, the instructor lectures on the theory and design FIR of IIR filters based on linear discrete-time systems.
For the analysis or development of a machine or system adapting to the conditions of the surrounding environment or itself, knowledge on and skills for analyzing the measured information are essential.
The instructor in this course lectures on the signal processing technique that is enabled by digitization.
As its first step, this course facilitates students' knowledge and skills about measurement and analysis of the phenomenon.
At the end of this course, students will be able to:
1) Understand the concept of digitization of time series signal
2) Understand the processing technique applied to digital signal such as filtering and Fourier transform
3) Gain the skill to apply the method listed above
The processing is understood to be applied to the digitization of concepts and digitized signals relating to one-dimensional signals, and a target to be able to acquire practiced technology.
Quantization, discretization, digitization, discrete Fourier transform, coding, linear discrete-time system theory, filter
|✔ Specialist skills||Intercultural skills||Communication skills||Critical thinking skills||Practical and/or problem-solving skills|
Lectures and practice exercises will be given.
|Course schedule||Required learning|
|Class 1||Overview of digital signal processing||None|
|Class 2||Basics of signal processing||Exercise on signal processing|
|Class 3||Linear time-invariant systems, convolution operation||Exercise on convolution operation|
|Class 4||Fourier analysis||Exercise on Fourier analysis|
|Class 5||Continuous time system, Laplace transform||Exercise on Laplace transform|
|Class 6||Sampling theorem||Exercise on sampling|
|Class 7||Discrete time systems, Z conversion||Exercise on Z conversion|
|Class 8||Impulse response, frequency characteristics, difference equation||Exercise on impulse response|
|Class 9||Stability of the system||Exercise on stability|
|Class 10||Discrete Fourier transform||Exercise on discrete Fourier transform|
|Class 11||Fast Fourier transform||Exercise on fast Fourier transform|
|Class 12||Coding of the signal (waveform coding, vector quantization)||Exercise on coding|
|Class 13||Digital filter (FIR)||Exercise on digital filter (FIR)|
|Class 14||Digital filter (IIR)||Exercise on digital filter (FIR)|
|Class 15||Implementation of filters, adaptive signal processing||Exercise on implementation of filters|
ディジタル信号処理: 大類重範, 日本理工出版会(2001)
スペクトル解析: 日野 幹雄, 朝倉書店(1977)
Understanding of the course content is assessed by reports and the final examination.
Enrollment in the "Introduction to Measurement Engineering" and "Random Signal Processing" is desirable.