Practice System Identification with Adaptive Filters - 11.4 | 11. Adaptive Filters: Prediction and System Identification | Digital Signal Processing
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Academics
Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Professional Courses
Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skillsβ€”perfect for learners of all ages.

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is system identification?

πŸ’‘ Hint: Think about how we understand systems.

Question 2

Easy

Define an adaptive filter.

πŸ’‘ Hint: Consider the adaptability of the filter.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does system identification aim to achieve?

  • Estimate system parameters
  • Increase noise
  • Minimize input signals

πŸ’‘ Hint: Consider the goal of this process.

Question 2

True or False: Adaptive filters only work with static systems.

  • True
  • False

πŸ’‘ Hint: Think about the definition of adaptive.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Develop a conceptual outline illustrating how an adaptive filter can be used in a real-world system like vehicle dynamics identification.

πŸ’‘ Hint: Consider the role of sensor data in predicting vehicle behavior.

Question 2

Analyze a scenario involving poor channel estimation in a communication system. Propose how adaptive filters can rectify this issue through the identification process.

πŸ’‘ Hint: Think of feedback loops in communication systems.

Challenge and get performance evaluation