What you'll learn
- Discrete –Time Signals and Systems: Introduction to DSP, Advantages, basic elements of DSP system, sampling theorem, A/D, D/A conversion, quantization
- Elementary discretetime sequences. Discrete-time systems: description, representation, classification (linear, time invariant, static, casual, stable)
- Analysis of DTLTI systems: The convolution sum, properties of convolution, Analysis of causal LTI systems, stability of LTI systems, step response of LTI system
- Difference equation, recursive & non recursive systems, solution of difference equations, Impulse response of LTI recursive system. Correlation of discrete time
- z- Transform and Analysis of LTI Systems: Definition of z- Transform, properties, rational z-Transforms, evaluation of the inverse z- Transforms
- Analysis of LTI systems in z-domain, transient and steady-state responses, causality, stability, pole-zero cancellation, the Schur-Cohn stability test
- Fourier Transforms, the DFT and FFT: Definition & properties of Fourier transform, relation with z-transform. Finite duration sequences and DFT
- Properties, circular convolution, Fast algorithms for the computation of DFT: radix-2 and radix- 4 FFT algorithms
- Design of Digital Filters: Classification of filters: LP, HP, BP, FIR and IIR filters, filter specifications. Design Windows and by Frequency sampling methods
- Design of IIR filters from Analog filters using approximation of derivatives, Impulse invariant transformation, Bilinear transformation and Matched z-Transform
- Realization of Discrete-Time systems: Structures for realization of Discrete-Time systems, realization of FIR systems: Direct Form, Cascade Form,
- Frequency sampling and Lattice structures. Realization of IIR filters: Direct Form, Signal flow graph and Transposed structures, Cascade form,
- Lattice and Lattice ladder. Realization for IIR systems
Requirements
- No prerequisite needed. You will learn everything you need to know.
Description
Discrete –Time Signals and Systems: Introduction to DSP, Advantages, basic elements of DSP system, sampling theorem, A/D, D/A conversion, quantization. Elementary discretetime sequences. Discrete-time systems: description, representation, classification (linear, timeinvariant, static, casual, stable)
Analysis of DTLTI systems: The convolution sum, properties of convolution, Analysis of causal LTI systems, stability of LTI systems, step response of LTI systems, difference equation, recursive & non recursive discrete time systems, solution of difference equations, Impulse response of LTI recursive system. Correlation of discrete time signals
z- Transform and Analysis of LTI Systems: Definition of z- Transform, properties, rational z-Transforms, evaluation of the inverse z- Transforms, analysis of linear time invariant systems in z-domain, transient and steady-state responses, causality, stability, pole-zero cancellation, the Schur-Cohn stability test
Fourier Transforms, the DFT and FFT: Definition & properties of Fourier transform, relation with z-transform. Finite duration sequences and the discrete Fourier transform(DFT), properties, circular convolution, Fast algorithms for the computation of DFT: radix-2 and radix4 FFT algorithms
Design of Digital Filters: Classification of filters: LP, HP, BP, FIR and IIR filters, filter specifications. Design of FIR filters using Windows and by Frequency sampling methods. Design of IIR filters from Analog filters using approximation of derivatives, Impulse invariant transformation, Bilinear transformation and Matched z-Transformation, Commonly used Analog filters and IIR Filter design example
Realization of Discrete-Time systems: Structures for realization of Discrete-Time systems, realization of FIR systems: Direct Form, Cascade Form, Frequency sampling and Lattice structures. Realization of IIR filters: Direct Form, Signal flow graph and Transposed structures, Cascade form, Lattice and Lattice ladder. Realization for IIR systems
Who this course is for:
- Undergraduate and Post Graduate Students
Instructor
- 4.4 Instructor Rating
- 152 Reviews
- 906 Students
- 8 Courses
Dr Amol P. Bhagat, Department of CSE, (Programme Coordinator – Innovation and Entrepreneurship Development Centre, Manager – Business Incubator)
Dr Amol P. Bhagat completed his B.E. (Information Technology) from Government College of Engineering, Amravati in the year 2005; with Master’s degree in Computer Science and Engineering from Walchand College of Engineering, Sangli in the year 2009 and Ph.D. in Information Technology under the guidance of Dr. Mohammad Atique in the year 2016 and is a research supervisor since 2019. (Notification No. 22/2019 Dated: 14/03/2019)
He has 13.5 years of industry and teaching experience.
He is with Prof Ram Meghe College of Engineering & Management, Badnera- Amravati since the year 2010.
He has guided around 16 UG and 14 PG projects
He has to his credit: 24 Patents filed, 89 Research papers published in National and International Journal and 1 book and 8 book chapters published.
He has a vast experience in various domains like Medical Image Processing, Signal Processing, Soft Computing, Machine Learning, Deep Learning, Big Data Analytics, Data Science.
He is representing various Committees like Member of Board of Studies IT, Government Polytechnic Amravati, Technical Programme Committee Member in various International Conferences Organized by IEEE, Elsevier, Springer, etc. THE (Times Higher Education) World University Rankings, Advisory Board Member of BI and IIC, Editorial Board Member of International Journals, Session Chair in International Conferences, Nodal Officer for ARIIA
He has coordinated a number of Short term training programs and faculty development programmes in association with bodies like DST, NSTEDB, MSME, EDII, DTE
Awards received
o Start UP NIDHI Award – 2018 from DST
o IETE Higher Technical Proficiency Award -2017
o Ideal Teaching Proficiency Award – 2018
o Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier Biomedical Signal Processing and Control, Amsterdam, The Netherlands
o Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier International Journal of Electrical Power and Energy Systems, Amsterdam, The Netherlands
o Bharat Ratna Mother Teresa Gold Medal Award for National Economic Growth through Individual Contribution
Mentor for DST funded research projects, Smart India Hackathon, Atal Tinkering Labs (Atal Innovation Mission, NITI Aayog), and various Start UPs
Served as Resource Person in more than 70 programmes such as Workshops, STTPs, FDPs sponsored and funded by IETE, ISTE, IEI, AICTE, DST, CSI, NABARD, Ministry of Agriculture, etc.