Teaching Scheme (in Hours)
Subject Credit : 6
Examination Scheme (in marks)
ESE Viva (V)
Syllabus Content Download
Signals, systems and signal processing, classification of signals, elements of digital signal processing system, concept of frequency in continuous and discrete time signals, Periodic Sampling, Frequency domain representation of sampling, Reconstructions of band limited signals from its samples, general applications of DSP
Unit-2: Discrete-Time Signals and Systems:
Discrete-Time Signals, Discrete-Time Systems, LTI Systems, Properties of LTI Systems, linear convolution and its properties, Linear Constant Coefficient Difference equations,. Frequency domain representation of Discrete-Time Signals & Systems, Representation of sequences by discrete time Fourier Transform, (DTFT), Properties of discrete time Fourier Transform, and correlation of signals, Fourier Transform Theorems.
Unit-3: The Z- Transform and Analysis Linear Time-of Invariant System:
Z-Transform, Properties of ROC for Z-transform, the inverse Z-transform methods, Z- transforms properties, Analysis of LTI systems in time domain and stability considerations. Frequency response of LTI system, System functions for systems with linear constant-coefficient Difference equations, Freq. response of rational system functions relationship between magnitude & phase, All pass systems, inverse systems, Minimum/Maximum phase systems, systems with linear phase.
Unit-4: Structures for Discrete Time Systems:
Block Diagram and signal flow diagram representations of Linear Constant-Coefficient Difference equations, Basic Structures of IIR Systems, Transposed forms, Direct and cascade form Structures for FIR Systems, Effects of Co-efficient quantization.
Unit-5: Filter Design Techniques:
Design of Discrete-Time IIR filters from Continuous-Time filters- Approximation by derivatives, Impulse invariance and Bilinear Transformation methods; Design of FIR filters by windowing techniques, Illustrative design examples of IIR and filters.
Unit-6: Discrete-Fourier Transform:
Representation of Periodic sequences: The discrete Fourier Series and its Properties Fourier Transform of Periodic Signals, Sampling the Fourier Transform, The Discrete-Fourier Transform, Properties of DFT, Linear Convolution using DFT.
Unit-7: Fast Fourier Transform:
FFT-Efficient Computation of DFT, Goertzel Algorithm, radix2 and radix 4 Decimation-in-Time and Decimation-in-Frequency FFT Algorithms.
Unit-8: Architecture of DSP Processors- :
Harward architecture, pipelining, Multiplier-accumulator (MAC) hardware, architectures of fixed and floating point (TMSC6000) DSP processors.
|1||“Digital Signal Processing: Principles, Algorithm & Application”||Proakis, Manolakis||Pearson|
|2||“Discrete Time Signal Processing”||Oppeheim, Schafer, Buck||Pearson education publication|
|3||Digital Signal Processing fundamentals and applications||Li Tan||Elsevier|
|4||Fundamentals of digital Signal Processing||Lonnie c.Ludeman||Wiley|
|5||Digital Signal processing-A Practical Approach ,||Emmanuel Ifeacher, Barrie W.Jervis||Pearson Education|
|6||Digital Signal Processing||S.Salivahanan, A.Vallavaraj, C.Gnapriya||TMH|
|7||Digital Signal Processors, Architecture, programming and application||B. Venkatramani, M Bhaskar||Mc-Graw Hill|
- Discrete-Time Signals and Systems
- The Z- Transform and Analysis Linear Time-of Invariant System
- Structures for Discrete Time Systems:
- Filter Design Techniques:
- Discrete-Fourier Transform:
- Fast Fourier Transform:
- DSP Processors
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