Why enroll

This course helps students learn signals and systems in a clear and practical way. It improves problem-solving skills, which are essential for engineers. Learners gain confidence to handle advanced subjects and real-world engineering challenges.

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Course content

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

Biomedical Signal Processing

25 Lectures

650 min

Motivation
Preview
27 min
Preliminaries
27 min
Biomedical Signal Origin and Dynamics
33 min
Biomedical Signal Origin and Dynamics (Contd.)
25 min
Biomedical Signal Origin and Dynamics (Contd.) II
33 min
Biomedical Signal Origin and Dynamics (Contd.) III
27 min
Artifact Removal
31 min
Artifact Removal (Contd.) II
26 min
Artifact Removal (Contd.) III
27 min
Artifact Removal (Contd.) IV
17 min
Artifact Removal (Contd.) V
29 min
Artifact Removal (Contd.) VI
22 min
Artifact Removal (Contd.) VII
22 min
Artifact Removal (Contd.) VIII
27 min
Artifact Removal (Contd.) IX
28 min
Artifact Removal (Contd.) X
24 min
Artifact Removal (Contd.) XI
18 min
Event Detection
26 min
Event Detection (Contd.) I
19 min
Event Detection (Contd.) II
41 min
Event Detection (Contd.) III
25 min
Event Detection (Contd.) IV
31 min
Event Detection (Contd.) V
15 min
Event Detection (Contd.) VI
20 min
Homomorphic Processing
30 min

Course details

This course is designed for final-year undergraduate and graduate engineering students who want to strengthen their understanding of signals and systems through a practical approach. It is especially suitable for Electrical Engineering students with a solid foundation in Signals and Systems. Students from other engineering branches, computer science, mathematics, physics, or geophysics can also comfortably follow the course. The focus of the course is on developing strong analytical and problem-solving skills. Concepts are explained through a structured series of carefully chosen problems and detailed solutions. This helps learners understand not only the theory but also its practical application. Prior knowledge of Digital Signal Processing is helpful but not mandatory. The course builds confidence in tackling real engineering problems step by step. Emphasis is given to clarity, logic, and systematic thinking. By the end of the course, students will be able to analyze and solve complex problems independently.

Source: Biomedical Signal Processing - IITKGP [Youtube Channel]

Course suitable for

Automotive
Electrical
Project Management
Research & Developmnet

Key topics covered

Motivation
Preliminaries
Biomedical Signal Origin and Dynamics
Artifact Removal
Event Detection
Homomorphic Processing

FREE

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