ECE 466 Digital Signal Processing and Filter Design
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
US99 - US03
ECE 466 Digital Signal Processing and Filter Design
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open only to seniors or graduate students in the Department of Electrical and Computer Engineering.
Not open to students with credit in:
EE 466
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
FS03 - US08
ECE 466 Digital Signal Processing and Filter Design
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to seniors or graduate students in the College of Engineering.
Not open to students with credit in:
ECE 446, EE 466
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
FS08 - US13
ECE 466 Digital Signal Processing and Filter Design
Semester:
Fall of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to seniors or graduate students in the College of Engineering.
Not open to students with credit in:
ECE 446, EE 466
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
FS13 - US19
ECE 466 Digital Signal Processing
Semester:
Spring of every year
Credits:
Total Credits:
Credits: 3 Lecture/Recitation/Discussion Hours:3
Restrictions:
Open to seniors or graduate students in the College of Engineering.
Not open to students with credit in:
EE 466
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of finite impulse response filters. Applications of digital signal processing to multidimensional signals and machine learning.
Effective Dates:
FS19 - Open
EE 466 Digital Signal Processing and Filter Design
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
FS92 - FS98
EE 466 Digital Signal Processing and Filter Design
Description:
Discrete Fourier transforms, sampling theorem, circular convolution, Z-transforms. Design of infinite impulse resistance filters using prototypes and algorithmic methods. Design of finite impulse resistance filters by windowing, frequency sampling.
Effective Dates:
SS99 - SS99