Practice Adaptive Prediction - 11.3.1 | 11. Adaptive Filters: Prediction and System Identification | Digital Signal Processing
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the main purpose of adaptive prediction?

πŸ’‘ Hint: Think about how historical data influences predictions.

Question 2

Easy

What do the coefficients in an adaptive filter do?

πŸ’‘ Hint: What happens to the output of the filter as these coefficients change?

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 an adaptive filter do?

  • Adjusts its coefficients based on the input signal
  • Looks for fixed patterns in the input
  • Predicts without learning

πŸ’‘ Hint: Remember the key function that distinguishes adaptive filters.

Question 2

True or False: The error signal is used to guide the adjustment of the filter's coefficients.

  • True
  • False

πŸ’‘ Hint: Think about how feedback is essential in learning systems.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Using the formula for predicted output, create a scenario where past data samples could be used to predict the next 5 samples of a signal.

πŸ’‘ Hint: Think about how each coefficient might weigh past samples differently.

Question 2

Imagine a scenario in an echo cancellation system. If the desired output is known, how can you iterate to improve prediction accuracy using error signal?

πŸ’‘ Hint: Consider each step as finding a way to 'listen' better to the current environment.

Challenge and get performance evaluation