LPC Flashcards
(45 cards)
What does LPC stand for in signal processing?
Linear Predictive Coding
True or False: LPC is primarily used for speech compression.
True
What is the main purpose of LPC in signal processing?
To represent the spectral envelope of a digital signal.
Fill in the blank: LPC models the current sample of a signal as a linear combination of ______ samples.
previous
What is the primary mathematical tool used in LPC analysis?
Autocorrelation
True or False: LPC can be used for both synthesis and analysis of signals.
True
What type of model does LPC use to predict future values of a signal?
Linear model
What is the order of LPC?
The number of previous samples used in the prediction.
Multiple Choice: Which of the following is NOT a benefit of LPC?
Increased data redundancy
In LPC, what does the term ‘prediction error’ refer to?
The difference between the actual signal and the predicted signal.
What is the role of the LPC coefficients?
To define the linear prediction model.
True or False: LPC can be used for noise reduction in signals.
True
What is the significance of the gain factor in LPC?
It adjusts the amplitude of the predicted signal.
Fill in the blank: LPC is commonly used in ______ coding.
speech
What does the Levinson-Durbin algorithm compute in LPC?
The LPC coefficients.
Multiple Choice: Which of the following is a common application of LPC?
Speech synthesis
What is the autocorrelation method used for in LPC?
To estimate the LPC coefficients.
True or False: LPC can provide a compact representation of speech signals.
True
What is the relationship between LPC order and the accuracy of the model?
Higher order can lead to more accurate predictions.
Fill in the blank: LPC assumes that the signal can be predicted from a ______ number of past samples.
finite
What is the main disadvantage of using LPC?
It may not accurately model non-linear signals.
What is the typical range for LPC order in speech processing?
10 to 16
True or False: LPC analysis requires knowledge of the signal’s frequency content.
False
What is a common method to evaluate the performance of LPC models?
Mean squared error (MSE)