Module 1
Introduction to Multi-rate Digital Signal Processing – Sample rate reduction – decimation by integer factors- sampling rate increase – interpolation by integer facto – Design of practical sampling rate converters Filter Specification- filter requirement for individual stages – Determining the number of stages and decimation factors – Sampling rate conversion using poly-phase filter structure – poly-phase implementation of interpolators.
Introduction to Multi-rate Digital Signal Processing – Sample rate reduction – decimation by integer factors- sampling rate increase – interpolation by integer facto – Design of practical sampling rate converters Filter Specification- filter requirement for individual stages – Determining the number of stages and decimation factors – Sampling rate conversion using poly-phase filter structure – poly-phase implementation of interpolators.
Module 2
Adaptive Signal Processing – Adaptive filters – Concepts- Adaptive filter as a Noise Canceller – Other configurations of the adaptive filter – Main components of the adaptive filter – Basic Wiener filter theory – The basic LMS adaptive algorithm – Practical limitations of the basic LMS algorithm – Recursive Least Square Algorithm – Limitations – Factorization Algorithm.
Adaptive Signal Processing – Adaptive filters – Concepts- Adaptive filter as a Noise Canceller – Other configurations of the adaptive filter – Main components of the adaptive filter – Basic Wiener filter theory – The basic LMS adaptive algorithm – Practical limitations of the basic LMS algorithm – Recursive Least Square Algorithm – Limitations – Factorization Algorithm.
Module 3
Introduction to two dimensional signal and systems – 2D – DFT Transforms – Properties and applications – Discrete Hilbert Transform and Discrete Cosine Transform – Properties and Applications – Short term Fourier Transform – Gabor Transform – Properties and Applications.
Introduction to two dimensional signal and systems – 2D – DFT Transforms – Properties and applications – Discrete Hilbert Transform and Discrete Cosine Transform – Properties and Applications – Short term Fourier Transform – Gabor Transform – Properties and Applications.
Module 4
Wavelets – Wavelet Analysis – The Continuous Wavelet Transform – scaling – shifting – scale and frequency – The Discrete Wavelet Transform – One Stage filtering – Approximation and Details – Filter bank analysis – Multilevel Decomposition – Number of levels – Wavelet reconstruction – Reconstruction filter- Reconstructing Approximations and details- Multilevel Reconstruction – Wavelet packet synthesis- Typical Applications.
Wavelets – Wavelet Analysis – The Continuous Wavelet Transform – scaling – shifting – scale and frequency – The Discrete Wavelet Transform – One Stage filtering – Approximation and Details – Filter bank analysis – Multilevel Decomposition – Number of levels – Wavelet reconstruction – Reconstruction filter- Reconstructing Approximations and details- Multilevel Reconstruction – Wavelet packet synthesis- Typical Applications.
Module 5
General and special purpose DSP Processors – Computer Architecture for signal processing – Havard Architecture – Pipelining – Hardware Multiply and Accumulate – Special Instructions – Replication – On-chip Memory Cache – Extended Parallelism – SIMD – VLIW and static super-scalar Processing – Brief study of TMS320C4X and ADSP 2106 processors.
General and special purpose DSP Processors – Computer Architecture for signal processing – Havard Architecture – Pipelining – Hardware Multiply and Accumulate – Special Instructions – Replication – On-chip Memory Cache – Extended Parallelism – SIMD – VLIW and static super-scalar Processing – Brief study of TMS320C4X and ADSP 2106 processors.
mgu university b.tech syllabus electronics
References
1. Digital Signal Processing Emmanuel C Ifeachor, Barrie W Jrevis, Pearson Education.
2. Theory and Applications of DSP L.R Rabiner and B gold
3. Electronic filter Desig Hand Book A .B Williams and FT Taylor, McGraw Hill
4. Wavelets and Subband Coding Valterli & Kovaceric, PHI.
5. Analog Devices & Texas Instruments Users Manuel of TMS320C4X and ADSP 2106x.
2. Theory and Applications of DSP L.R Rabiner and B gold
3. Electronic filter Desig Hand Book A .B Williams and FT Taylor, McGraw Hill
4. Wavelets and Subband Coding Valterli & Kovaceric, PHI.
5. Analog Devices & Texas Instruments Users Manuel of TMS320C4X and ADSP 2106x.