BLP Meaning and
Definition
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BLP stands for BiLinear Prediction and is a term used in the field of digital signal processing and audio coding. It refers to a technique used to predict the spectral content of a signal by utilizing a linear prediction model.
In BLP, the spectral envelope of a signal is estimated using linear prediction. This involves modeling the spectral shape of the signal by fitting a linear filter to the data. By analyzing the past samples, the linear prediction model can predict future samples, allowing for a more compact representation of the signal.
The BLP algorithm uses a bilinear transformation to convert the linear prediction model from the time domain to the frequency domain. This transformation enables the prediction of the spectral content of the signal, which is then used to reconstruct the original waveform.
BLP is commonly employed in audio coding applications, such as speech compression and digital audio compression, where efficient representation of the signal is crucial. By accurately predicting the spectral content, BLP helps reduce the amount of data required to represent the signal without compromising its perceptual quality.
Overall, BLP is a technique used to predict the spectral content of a signal through linear prediction modeling, enabling efficient compression and representation of audio signals.
Common Misspellings for BLP
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