dspcourse
Digital Signal Processing
Page for EC 52, DSP, 5th Semester, Year: 2007, SJCE, MYSORE(VTU) Maintained by: Dr.S.Patilkulkarni
Books Recommended by VTU
Books Recommended by VTU
- Text Books
- 1. Digital Signal Processing - Principles algorithm and application, 3e- Proakis and Manolakis Pearson/PHI, 2003.
- 2. Discrete Time Signal Processing- Oppenheim and Schaffer, Pearson/PHI, 2003
- References
- 1. Digital Signal Processing - Sanjit K. Mitra, 2e, Tata McGraw Hill, 2001
- 2. Modern Digital Signal Processing – Roberto Cristi, Thomson Learning, 2004
Syllabus
Syllabus
1. The Discrete Fourier Transform: Its Properties And Applications (15 Hrs) Frequency domain sampling and reconstruction of discrete time signals, Discrete Fourier Transform (DFT), DFT as a linear transformation, Relationship of the DFT to other transforms, Properties of the DFT: periodicity, linearity and symmetry properties, multiplication of the two DFTs and circular convolution, additional DFT properties, Frequncy analysis of the signals using DFT. Text 1: Chapter 5, 5.1 to 5.4
1. The Discrete Fourier Transform: Its Properties And Applications (15 Hrs) Frequency domain sampling and reconstruction of discrete time signals, Discrete Fourier Transform (DFT), DFT as a linear transformation, Relationship of the DFT to other transforms, Properties of the DFT: periodicity, linearity and symmetry properties, multiplication of the two DFTs and circular convolution, additional DFT properties, Frequncy analysis of the signals using DFT. Text 1: Chapter 5, 5.1 to 5.4
2. Efficient Computation of DFTs: Fast Fourier Transform Algorithms (11 Hrs) Direct computation of the DFT, Radix-2 FFT algorithms, Decimation in time FFT algorithms and in-place computations, Decimation in frequency algorithms and in-place computations, Chirp-Z transforms and Goertezel algorithm. Text 1: Chapter 6, 6.1.1, 6.1.3, 6.2.1, 6.2.2, 6.3.1, 6.3.2
2. Efficient Computation of DFTs: Fast Fourier Transform Algorithms (11 Hrs) Direct computation of the DFT, Radix-2 FFT algorithms, Decimation in time FFT algorithms and in-place computations, Decimation in frequency algorithms and in-place computations, Chirp-Z transforms and Goertezel algorithm. Text 1: Chapter 6, 6.1.1, 6.1.3, 6.2.1, 6.2.2, 6.3.1, 6.3.2
3. Frequency transformations (05 Hrs) Frequency transformations in the analog domain, Frequency transformations in the digital domain. Text 1: Chapter 8, 8.4.1 and 8.4.2
3. Frequency transformations (05 Hrs) Frequency transformations in the analog domain, Frequency transformations in the digital domain. Text 1: Chapter 8, 8.4.1 and 8.4.2
4. Design of Digital Filters (16 Hrs) FIR filter design: Properties of FIR digital filters, Different types of windows: Rectangular, Bartlett, Hanning, Hamming, Blackmann & Kaiser windows, Design of FIR filters using these windows, Frequncy sampling design, Equiripple filter design (qualitative treatment only), Comparison of IIR and FIR filters. Symmetric and Anti-symmetric FIR filters: Design of linear-phase FIR filters by the frequency sampling method, Design of FIR differentiators, Design of Hilbert transformers. Text 1: Chapter 8, 8.2.1 to 8.2.6 Design of IIR filters from analog filters: IIR filter design by approximation of derivatives, IIR filter design by impulse invariance method, IIR filter design by bilinear transformation, matched tranformation, Characteristics of commonly used analog filters, Application of the above techniques to the design of Butterworth abd Chebychev filters. Text 1: Chpter 8, 3.1 to 8.3.6
4. Design of Digital Filters (16 Hrs) FIR filter design: Properties of FIR digital filters, Different types of windows: Rectangular, Bartlett, Hanning, Hamming, Blackmann & Kaiser windows, Design of FIR filters using these windows, Frequncy sampling design, Equiripple filter design (qualitative treatment only), Comparison of IIR and FIR filters. Symmetric and Anti-symmetric FIR filters: Design of linear-phase FIR filters by the frequency sampling method, Design of FIR differentiators, Design of Hilbert transformers. Text 1: Chapter 8, 8.2.1 to 8.2.6 Design of IIR filters from analog filters: IIR filter design by approximation of derivatives, IIR filter design by impulse invariance method, IIR filter design by bilinear transformation, matched tranformation, Characteristics of commonly used analog filters, Application of the above techniques to the design of Butterworth abd Chebychev filters. Text 1: Chpter 8, 3.1 to 8.3.6
5. Digital Filter Structure (05 Hrs) Basic IIR filter structures: Direct forms (I & II), Cascade form, Series and Parellel form realizations, Signal flow graph, Transposed structure. Basic FIR filter structures: Direct form structure, Frequency sampling structure, Linear phase structure, Lattice form structure. Text 1, Chapter 7, 7.1, 7.2, 7.3
5. Digital Filter Structure (05 Hrs) Basic IIR filter structures: Direct forms (I & II), Cascade form, Series and Parellel form realizations, Signal flow graph, Transposed structure. Basic FIR filter structures: Direct form structure, Frequency sampling structure, Linear phase structure, Lattice form structure. Text 1, Chapter 7, 7.1, 7.2, 7.3
Assignments
Assignments
1. Assignment_1, Solutions(English) ಅಭ್ಯಾಸ ಪ್ರಶ್ನಾವಳಿ-೧ರ ಉತ್ತರಗಳು (in Kannada)
2. Assignment_2, Solutions(English)
Internal Assesments
Internal Assesments
1. Internal Assesment 1 Solutions
Related Links
Related Links
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