What does lpcs mean?
lpcs means Linear Prediction Coefficients
This acronym/slang usually belongs to Undefined category.
What is the abbreviation for Linear Prediction Coefficients?
Linear Prediction Coefficients can be abbreviated as lpcs
Other shorthands for Linear Prediction Coefficients are: LPC, LPC
Other shorthands for Linear Prediction Coefficients are: LPC, LPC
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Most popular questions people look for before coming to this page
Q: A: |
What does lpcs stand for? lpcs stands for "Linear Prediction Coefficients". |
Q: A: |
How to abbreviate "Linear Prediction Coefficients"? "Linear Prediction Coefficients" can be abbreviated as lpcs. |
Q: A: |
What is the meaning of lpcs abbreviation? The meaning of lpcs abbreviation is "Linear Prediction Coefficients". |
Q: A: |
What is lpcs abbreviation? One of the definitions of lpcs is "Linear Prediction Coefficients". |
Q: A: |
What does lpcs mean? lpcs as abbreviation means "Linear Prediction Coefficients". |
Q: A: |
What is shorthand of Linear Prediction Coefficients? The most common shorthand of "Linear Prediction Coefficients" is lpcs. |
Abbreviations or Slang with similar meaning
- A-CELP - Algebraic-Code Excited Linear Prediction
- CVSELP - Codex Vector Sum Excited Linear Prediction Algorithm
- DF-LP - Decision-Feedback Linear-Prediction
- LP-DFD - Linear Prediction-Based Decision-Feedback Detection
- LPSVD - Linear Prediction Method Using Singular Value Decomposition
- LP - Linear Prediction
- LPCC - Linear Prediction Cepstral Coefficients
- LPEF - Linear Prediction Error Filter
- LPAS - Linear Prediction Analysis by Synthesis
- LPC - Linear Prediction Cepstral
- LPC - Linear Prediction Coder
- LPC - Linear Prediction Coding
- LPCC - Linear Prediction Cepstral Coecients
- LPCC - Linear Prediction Cepstrum Coefficients
- LPM - Linear Prediction Model
- LPSD - Linear Prediction in Spectral Domain
- PLPC - Perceptual Linear Prediction Coefficients
- Lpsvd - Linear Prediction Singular Value Decomposition
- LPC - Linear Prediction Coefficient
- LPSVD - Linear Prediction using Singular Value Decomposition