Digital Signal Processing
Course Code: B82011Y
Course Name: Digital Signal Processing
Pre-requisite: Mathematics, linear algebra, Signals and systems
Lecture Time: 60 hours
This is a course on digital signal processing techniques and their applications. Topics include: review of DSP fundamentals; discrete-time random signals; sampling and mufti-rate systems; oversampling and quantization in A-to-D conversion; properties of LTI systems; linear phase and minimum phase systems; digital filter structures; digital filtering; recursive and non recursive filters; allpass filters and applications; quantization in fixed-point implementations of filters; digital filter design; discrete Fourier Transform and FFT; spectrum analysis using the DFT; and parametric signal modeling. Nyquist and sub-Nyquist sampling; elements of multrirate signal processing; reconstruction of sparsely sampled signals; statistical signal processing and sensor array signal processing; applications in various areas. The course will also discuss applications of DSP in areas such as speech and audio processing, autonomous vehicles, and software radio.
Topics and Schedule
Lecture notes and reference books