Why enroll

This course helps learners connect DSP theory with modern communication systems used in practice. It is ideal for students and engineers who want strong fundamentals along with hands-on Matlab experience in multirate DSP and OFDM-based systems

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Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Multirate DSP

25 Lectures

724 min

Introduction to Multirate DSP | Part 1
Preview
20 min
Introduction to Multirate DSP | Part 2
28 min
Sampling & Nyquist Criterion | Part 1
32 min
Sampling & Nyquist Criterion | Part 2
21 min
Signal Reconstruction | Part 1 |
25 min
Signal Reconstruction | Part 2 |
23 min
Reconstruction Filter | Part 1 |
31 min
Reconstruction Filter | Part 2 |
23 min
Discrete Time Processing of Continuous Time Signal | Part 1
38 min
Discrete Time Processing of Continuous Time Signal | Part 2
19 min
DT Processing of CT Signal Example
48 min
Time Scaling | Upsampler & Downsampler | Part 1
26 min
Time Scaling | Upsampler & Downsampler | Part 2
23 min
Upsampler & Downsampler Continued | Part 1
23 min
Upsampler & Downsampler Continued | Part 2
24 min
Decimator Properties
36 min
Properties of Upsampler & Downsampler
62 min
Fractional Sampling Rate Change | Part 1
32 min
Fractional Sampling Rate Change | Part 2
17 min
Multiplexer/ Demultiplexer Interpretation
37 min
Noble Identities & Polyphase Decomposition | Part 1
14 min
Noble Identities & Polyphase Decomposition | Part 2
30 min
Polyphase Decomposition Continued | Part 1
17 min
Polyphase Decomposition Continued | Part 2
26 min
Introduction to Multirate Filter Banks
49 min

Course details

This course provides a clear and practical understanding of Multirate Digital Signal Processing (DSP) and its real-world applications. It begins with the basics of sampling, signal reconstruction, and sampling rate conversion using multirate building blocks. Learners explore how multirate DSP is used in filter design, filter banks, transmultiplexers, and delta-sigma A/D converters. The course explains the concept of perfect reconstruction filter banks with a strong mathematical foundation, while keeping explanations simple and intuitive. Participants also learn how multirate techniques help achieve higher data capacity in wireless communication systems. Key ideas behind multicarrier modulation, zero padding, and cyclic prefix are discussed in an easy-to-follow manner. The mathematical framework of OFDM and its advanced extensions is introduced step by step. The course further covers the basics of wavelets and multichannel filter banks. Throughout the course, theory is closely linked to practical communication and signal processing systems. Matlab-based exercises are included to help learners visualize concepts and gain hands-on experience.

Source: NPTEL- NOC IITM [Youtube Channel]

Course suitable for

Automotive
Electrical
Engineering & Design
Project Management
Research & Developmnet

Key topics covered

Introduction to Multirate DSP | Part 1
Introduction to Multirate DSP | Part 2
Sampling & Nyquist Criterion | Part 1
Sampling & Nyquist Criterion | Part 2
Signal Reconstruction | Part 1
Signal Reconstruction | Part 2
Reconstruction Filter | Part 1
Reconstruction Filter | Part 2
Discrete Time Processing of Continuous Time Signal | Part 1
Discrete Time Processing of Continuous Time Signal | Part 2
DT Processing of CT Signal Example
Time Scaling | Upsampler & Downsampler | Part 1
Time Scaling | Upsampler & Downsampler | Part 2
Upsampler & Downsampler Continued | Part 1
Upsampler & Downsampler Continued | Part 2
Decimator Properties
Properties of Upsampler & Downsampler
Fractional Sampling Rate Change | Part 1
Fractional Sampling Rate Change | Part 2
Multiplexer / Demultiplexer Interpretation
Noble Identities & Polyphase Decomposition | Part 1
Noble Identities & Polyphase Decomposition | Part 2
Polyphase Decomposition Continued | Part 1
Polyphase Decomposition Continued | Part 2
Introduction to Multirate Filter Banks

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