Why enroll

This course helps learners build a clear and practical understanding of digital signal processing, not just theory. It teaches how DSP concepts are applied in real time using actual hardware and software tools, making learning more hands-on and meaningful. The course also strengthens core engineering fundamentals for students from Electrical, Electronics, and Embedded Systems backgrounds. By the end, learners are better prepared for advanced studies, projects, and jobs in electronics, communication, and real-time systems, while gaining useful skills for real-world applications such as audio and video processing, control systems, radar, and communication technologies.

Course details

This Real-Time Digital Signal Processing (DSP) course helps learners understand how signal processing works in real engineering systems, not just in textbooks. It combines basic DSP concepts with practical, real-time implementation, making it useful for students and professionals.The course starts with simple signal fundamentals, explaining how analog signals are converted into digital form. It then introduces key DSP tools like discrete-time signals, FFT, and Z-transform, with focus on how they are used in real-time applications.Learners also gain hands-on experience with DSP software and hardware using tools like Code Composer Studio (CCS). Topics such as digital filters (FIR/IIR), real-time constraints, ADC/DAC interfacing, and optimization are explained clearly.By the end of the course, learners are confident in analyzing and implementing real-time DSP systems used in audio, communication, control, and embedded applications.

Source: NPTEL – Indian Institute of Science (IISc), Bengaluru [Youtube Channel]

Course suitable for

Automotive
Electrical
Engineering & Design
Project Management
Research & Developmnet

Key topics covered

Introduction to real-time DSP and its real-life uses.
Basic signal concepts, sampling, and quantization.
Number systems and discrete-time signals for DSP.
Z-transform and FFT basics for signal analysis.
FIR and IIR filters and how they work in practice.
Time and frequency domain analysis of signals.
Real-time data capture and processing methods.
Hands-on DSP coding using CCS tools.
Fixed-point and floating-point basics explained simply.
Memory and timing issues in DSP systems.
ADC and DAC interfacing for real-time signals.
Interrupts and DMA for faster processing.
DSP code optimization for better performance.
Audio signal processing using DSP.
Mini projects and system integration in DSP.

Course content

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

Real-Time Digital Signal Processing

30 Lectures

1019 min

Introduction
Preview
19 min
Basics of Signal Processing
45 min
Lab - CCS
46 min
Number System
47 min
Architecture 1
46 min
Architecture 2
35 min
Real-time Constraints
45 min
FIR - Filters
43 min
Pipelining and Parallel Processing for Low Power Applications
30 min
Pipelining and Parallel Processing for Low Power Applications II
27 min
IIR Filters - 1
31 min
Lab: Sine Generation
21 min
IIR Filters - 2
38 min
IIR Filters - 3
29 min
FIR and IIR Filter in MATLAB using GUI
30 min
IIR Filter as Resonator
29 min
Lab: Real-Time Audio Output through Sine Generation
27 min
IIR Filters 4
38 min
Lab: FIR Filter in generation of music
31 min
Lab: Real-Time Audio Output through FIR Filter
30 min
DFT, DTFT, twiddle factors, properties, circular convolution and examples
35 min
Different ways of implementing FFT in CCS
33 min
Complexity of Filtering and the FFT
35 min
Lab: Filtering Using FFT
32 min
Lab: FFT in CCS
35 min
FFT - 1
36 min
FFT - 2
32 min
Overlap Add and Save Method using MATLAB
23 min
FFT - 3
34 min
Overlap Save Method
37 min

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