MODULE 1
Basic Elements of a DSP system, Typical DSP applications, Finite-length discrete transforms, Orthogonal transforms – The Discrete Fourier Transform: DFT as a linear transformation (Matrix relations), Relationship of the DFT to other transforms, IDFT, Properties of DFT and examples. Circular convolution, Linear Filtering methods based on the DFT, linear convolution using circular convolution, Filtering of long data sequences, overlap save and overlap add methods, Frequency Analysis of Signals using the DFT (concept only required)
MODULE 1
VEDIO PLAYLIST LINKS: www.youtube.com/watch?v=qLzDnSrowSE&list=PLU9qGTRXUDknmSWJYYpJHAA8dAW0odTJq&pp=iAQB
In this video DSP block diagram, advantages, disadvantages and applications are explained in detail.
In this video 2 typical problems on DFT is explained in an easy understandable way.
In this video, filtering of long sequence ( section convolution) overlap add method is explained in an easy understanding way with an example. This type of problems are usually asked as essay question from Module 1. Must watch video .
In this video, filtering of long sequence, overlap save method is explained with the help of an example in an easy understanding way. Module 1 essay topic.
MODULE 2
Efficient Computation of DFT: Fast Fourier Transform Algorithms-Radix-2 Decimation in Time and Decimation in Frequency FFT Algorithms, IDFT computation using Radix-2 FFT Algorithms, Application of FFT Algorithms, Efficient computation of DFT of Two Real Sequences and a 2N-Point Real Sequence
MODULE 2
VEDIO PLAYLIST LINKS: www.youtube.com/watch?v=ewpotxdu_kI&list=PLU9qGTRXUDklRcPJobv-zpx-nHB_ux98_&pp=iAQB
MODULE 3
Design of FIR Filters - Symmetric and Anti-symmetric FIR Filters, Design of linear phase FIR filters using Window methods, (rectangular, Hamming and Hanning) and frequency sampling method, Comparison of design methods for Linear Phase FIR Filters. Design of IIRDigital Filters from Analog Filters (Butterworth), IIR Filter Design by Impulse Invariance, and Bilinear Transformation, Frequency Transformations in the Analog and Digital Domain
MODULE 3
VEDIO PLAYLIST LINKS: www.youtube.com/watch?v=m4TMOtMy-RY&list=PLU9qGTRXUDkk-6iMRYChzaoaA_GE3yEUW&pp=iAQB
NOTE : Chebyshev filter explained in videos is not needed
MODULE 4
Structures for the realization of Discrete Time Systems - Block diagram and signal flow graph representations of filters, FIR Filter Structures: Linear structures, Direct Form, CascadeForm, IIR Filter Structures: Direct Form, Transposed Form, Cascade Form and Parallel Form, Computational Complexity of Digital filter structures. Multi-rate Digital Signal Processing:
Decimation and Interpolation (Time domain and Frequency Domain Interpretation ), Anti- aliasing and anti-imaging filter.
MODULE 4
VEDIO LINKS PLAYLIST LINK: www.youtube.com/watch?v=2x_JjpPBeA4&list=PLU9qGTRXUDknga5zgbAzey-CpLjmwCOmv&pp=iAQB
In this video DF1 , DF2 , cascade and parallel forms are explained in an easy understandable way.
In this video FIR cascade redalizations are explained with tricks
In this video, interpolation & decimation ( upsampling & downsampling) are explained in detail with the help of a previous year question
MODULE 5
Computer architecture for signal processing: Harvard Architecture, pipelining, MAC, Introduction to TMS320C67xx digital signal processor, Functional Block Diagram.
Finite word length effects in DSP systems: Introduction (analysis not required), fixed-point and floating-point DSP arithmetic, ADC quantization noise, Finite word length effects in IIRdigital filters: coefficient quantization errors. Finite word length effects in FFT algorithms: Round off errors
MODULE 5
VEDIO PLAYLIST LINKS: https://www.youtube.com/watch?v=KJMPLdpRAiM&list=PLU9qGTRXUDkn0SV3IlThGdgfJaKymrKJ1&pp=iAQB
In this video, general DSP architecture, characteristics, Harward architecture, Pipelining, MAC concepts are explained in an easy understanding way. All are previous year University questions.
In this video, the most repeatedly asked question from Module 5 is explained in an exam point of view. Watch the video in full, surely you will be benefited. Architecture of DSP processor TMS320C6713 is presented.
SINGLE PLAYLIST LINK: www.youtube.com/watch?v=ewpotxdu_kI&list=PLU9qGTRXUDkk9Gho22yliKVv_LdsZN9iR&pp=iAQB
DSP FREQUENTLY ASKED THEORY PORTION NOTES: click below link drive.google.com/file/d/1qo0w1RqFHLG29kdAOHCzEuMbxX8NDVjt/view?usp=sharing
MODULE 3 : Digital filters ppt :drive.google.com/file/d/1a5u235EguSr7kCZ6a9sfGB10vgfkR7Rt/view?usp=sharing
(PPT Contains filter, analog vs digital processing, digital filters, IIR & FIR Filter comparison, applications, Design of FIR Filter, fourier series approach, Windowing techniques, rectangular window, gibb's phenomenon, disadvantage of rectangular windowing, design using window technique, hanning window, hamming window, FIR HPF design, linear phase FIR design, frequency sampling methods, frequency sampling structure, problems,
IIR Filter design, analog filter design, chebychev filter, impulse invarient methods, Bilinear transformation (BLT) Problems.)
(Note: Chebyshev filter design not in 2019 scheme)
REFERENCE TEXTBOOK LINK FOR DOWNLOAD
DIGITAL SIGNAL PROCESSING : SCHAMUS OUTLINES :drive.google.com/file/d/1X9IV-W_G8OsgBuHYESkh-zZ_UNTp7ayD/view?usp=sharing
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