The number of ECE ILLINOIS faculty members.
|Digital Signal Processing||ECE310||CS||70980||LCD||-||Naresh R Shanbhag|
|Digital Signal Processing||ECE310||D||56913||LCD||0900 - 0950||M W F||1015 ECE Building||Dimitrios Katselis|
|Digital Signal Processing||ECE310||E||65517||LCD||1200 - 1250||M W F||1013 ECE Building||Naresh R Shanbhag|
|Digital Signal Processing||ECE310||G||56914||LCD||1500 - 1550||M W F||1015 ECE Building||Chandrasekhar Radhakrishnan|
Introduction to discrete-time systems and discrete-time signal processing: discrete-time linear systems, difference equations, z-transform, discrete convolution, stability, discrete-time Fourier transform, analog-to-digital and digital-to-analog conversion, interpolation and decimation, digital filter design, discrete Fourier transform, fast Fourier transform, spectral analysis, applications of digital signal processing.
Introduce fundamentals of discrete-time linear systems and digital signal processing. Emphasizes theory but also includes design and applications.
Discrete-time linear shift-invariant systems (3 hrs)
Complex numbers and functions of a complex variable (2 hrs)
z-transform (3 hrs)
Convolution and impulse response (3 hrs)
Transfer function and block diagrams (2 hrs)
Discrete-time Fourier transform (DTFT) (4 hrs)
Digital frequency and frequency response (2 hrs)
A/D and D/A conversion (4 hrs)
Multirate systems (3 hrs)
FIR and IIR filter design (6 hrs)
Discrete Fourier transform (DFT) (3 hrs)
Spectral analysis (3 hrs)
Fast Fourier transform (FFT) (3 hrs)
Applications to speech, medical imaging, communications, etc. (4 hrs)
Students can access the ECE 310 course web site to obtain course documents, homework, and solutions. In the optional companion laboratory course, ECE311 Students use Labview and Matlab to complete several assignments involving design and implementation.
Analog signal processing (circuit analysis, differential equations, convolution, Fourier and Laplace transforms) ---
ECE 210 or consent of instructor
D. C. Munson, Jr., and A.C. Singer ECE 310 Course Notes, 2013.
D. G. Manolakis and V. K. Ingle, Applied Digital Signal Processing: Theory and Practice, Cambridge Univ. Press, 2011
Engineering topics: 100%
To introduce fundamentals of discrete-time linear systems and digital signal processing. Emphasizes theory but also includes design and applications.
A student completing this course should, at a minimum, be able to:
1. Determine whether systems are linear or nonlinear, causal or noncausal, shift-invariant, or shift varying. (1)
2. Model systems with difference equations and compute their solutions. (1)
4. Visualize and compute discrete-time convolution. (1)
6. Calculate impulse response and convolution using the concept of transfer function. (1)
7. Draw block diagrams of common digital filters, including those using complex arithmetic. (2)
8. Determine whether a system is stable or unstable and demonstrate an understanding of the abstract concept of stability. (1)
9. Demonstrate an understanding of the discrete-time Fourier transform and the concept of digital frequency. (1)
11. Compute the analog frequency response of a digital system. (1)
20. Explain how digital signal processing is used in applications. (6)