language:
Find link is a tool written by Edward Betts.Longer titles found: Code-excited linear prediction (view), Algebraic code-excited linear prediction (view), Relaxed code-excited linear prediction (view), Qualcomm code-excited linear prediction (view), Mixed-excitation linear prediction (view), Vector sum excited linear prediction (view), Residual-excited linear prediction (view)
searching for Linear prediction 37 found (110 total)
alternate case: linear prediction
Cluster-weighted modeling
(803 words)
[view diff]
exact match in snippet
view article
find links to article
cluster-weighted modeling (CWM) is an algorithm-based approach to non-linear prediction of outputs (dependent variables) from inputs (independent variables)FS-1016 (221 words) [view diff] exact match in snippet view article find links to article
deprecated secure telephony speech encoding standard for Code-excited linear prediction (CELP) developed by the United States Department of Defense and finalizedJohn Makhoul (596 words) [view diff] exact match in snippet view article find links to article
the mathematical modeling of speech signals, including his work on linear prediction, and vector quantization. His patented work on the direct applicationLightness (3,566 words) [view diff] exact match in snippet view article find links to article
While luminance is a linear measurement of light, lightness is a linear prediction of the human perception of that light. This distinction is meaningfulAcoustic phonetics (977 words) [view diff] exact match in snippet view article find links to article
resonances and vowel formants, voice quality, prosody, etc. Integrated linear prediction residuals (ILPR) was an effective feature proposed by T V AnanthapadmanabhaRasta filtering (178 words) [view diff] exact match in snippet view article find links to article
filtering and mean subtraction was introduced to support perceptual linear prediction (PLP) preprocessing. It uses bandpass filtering in the log spectralPolynomial chaos (2,435 words) [view diff] no match in snippet view article find links to article
Polynomial chaos (PC), also called polynomial chaos expansion (PCE) and Wiener chaos expansion, is a method for representing a random variable in termsRobotic voice effects (1,311 words) [view diff] exact match in snippet view article find links to article
Korean pop groups, most specifically 2NE1 and Big Bang. Linear prediction coding Linear prediction coding is also used as a musical effect (generally forSecure voice (1,687 words) [view diff] case mismatch in snippet view article find links to article
art MELPe algorithm. The MELPe or enhanced-MELP (Mixed Excitation Linear Prediction) is a United States Department of Defense speech coding standard usedSpeex (1,097 words) [view diff] case mismatch in snippet view article find links to article
unaltered or don't arrive. All this led to the choice of Code Excited Linear Prediction (CELP) as the encoding technique to use for Speex. One of the mainDigital AMPS (2,638 words) [view diff] exact match in snippet view article find links to article
excited linear prediction (VSELP) coding. This is a special type of speech coder within a large class known as code-excited linear prediction (CELP) codersMads Græsbøll Christensen (1,097 words) [view diff] exact match in snippet view article find links to article
for his work on statistical methods for pitch estimation, sparse linear prediction, and model-based statistical processing of speech and audio signalsDecorrelation (457 words) [view diff] exact match in snippet view article find links to article
an attempt to decorrelate signals by subtracting the best possible linear prediction from the input signal, leaving a whitened residual signal. DecorrelationEcho removal (128 words) [view diff] exact match in snippet view article find links to article
to deblurring in the image processing domain. Echo suppression and cancellation Digital room correction Noise reduction Linear prediction coder v t eHinge loss (1,004 words) [view diff] exact match in snippet view article find links to article
Advances in Preference Handling. Zhang, Tong (2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms (PDF). ICMLHuber loss (1,098 words) [view diff] exact match in snippet view article find links to article
1109/42.61759. PMID 18222791. Zhang, Tong (2004). Solving large scale linear prediction problems using stochastic gradient descent algorithms. ICML. FriedmanRobyn Dawes (857 words) [view diff] exact match in snippet view article find links to article
doi: 10.1126/science.2648573. Howard, J. W., & Dawes, R. M. (1976). Linear prediction of marital happiness. Personality and Social Psychology Bulletin,Additive synthesis (5,418 words) [view diff] exact match in snippet view article find links to article
F. (1986). "Duality theory of composite sinusoidal modeling and linear prediction". ICASSP '86. IEEE International Conference on Acoustics, Speech,P. A. V. B. Swamy (2,381 words) [view diff] exact match in snippet view article find links to article
models operational, Swamy and Peter A. Tinsley published a paper on linear prediction and estimation. In 1985, in an examination of the probabilistic-logicalCharles L. Dolph (1,115 words) [view diff] case mismatch in snippet view article find links to article
Covariances of Certain Stochastic Processes and Its Application to Unbiased Linear Prediction". Transactions of the American Mathematical Society. 72 (3): 519.Linear predictor function (2,134 words) [view diff] exact match in snippet view article find links to article
coefficients). Linear model Linear regression Makhoul, J. (1975). "Linear prediction: A tutorial review". Proceedings of the IEEE. 63 (4): 561–580. Bibcode:1975IEEEPDbx Model 700 Digital Audio Processor (1,246 words) [view diff] exact match in snippet view article find links to article
single integrator with a complex system of comparators and high-order linear prediction filters. This was done in order to reduce the quantization error,Generalized linear model (4,202 words) [view diff] exact match in snippet view article find links to article
than constantly varying, output changes. As an example, suppose a linear prediction model learns from some data (perhaps primarily drawn from large beaches)Kriging (6,063 words) [view diff] case mismatch in snippet view article find links to article
(1998). "Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond". Learning in Graphical Models. pp. 599–621. doi:10Audio mining (2,367 words) [view diff] case mismatch in snippet view article find links to article
speech signal through parametric form using mel scale Perceptual Linear Prediction (PLP) takes human speech into consideration However, the three techniquesMyhailo Yadrenko (1,244 words) [view diff] exact match in snippet view article find links to article
Yadrenko and his disciples for the solution of important problems of linear prediction and filtration of random fields. He founded the theory of Markov randomLogistic regression (19,414 words) [view diff] exact match in snippet view article find links to article
(-\infty ,+\infty )} — thereby matching the potential range of the linear prediction function on the right side of the equation. Both the probabilitiesP. P. Vaidyanathan (1,306 words) [view diff] case mismatch in snippet view article find links to article
Prentice Hall, Englewood Cliffs, 1993. P. P. Vaidyanathan, The Theory of Linear Prediction, Morgan & Claypool Publishers, 2008. P. P. Vaidyanathan, S.-M PhoongList of file signatures (1,432 words) [view diff] case mismatch in snippet view article find links to article
52 #!AMR 0 amr Adaptive Multi-Rate ACELP (Algebraic Code Excited Linear Prediction) Codec, commonly audio format with GSM cell phones. 23 21 53 49 4CNonlinear system identification (3,454 words) [view diff] exact match in snippet view article find links to article
Diva. Abdalmoaty, Mohamed Rasheed-Hilmy; Hjalmarsson, Håkan (2019). "Linear prediction error methods for stochastic nonlinear models". Automatica. 105: 49–63TETRA (5,503 words) [view diff] exact match in snippet view article find links to article
8 kHz and then compressed with a vocoder using algebraic code-excited linear prediction (ACELP). This creates a data stream of 4.567 kbit/s. This data streamAudio inpainting (2,288 words) [view diff] exact match in snippet view article find links to article
in autoregressive models the missing samples are completed through linear prediction. The autoregressive coefficients necessary for this prediction areWindow function (8,875 words) [view diff] case mismatch in snippet view article find links to article
edu. Retrieved 2019-03-05. Kabal, Peter (2009). "Time Windows for Linear Prediction of Speech" (PDF). Technical Report, Dept. Elec. & Comp. Eng., McGillPeter A .Tinsley (922 words) [view diff] exact match in snippet view article find links to article
JSTOR 2525359. Swamy, P.A.V.B.; Tinsley, P.A. (February 1980). "Linear prediction and estimation methods for regression models with stationary stochasticList of datasets for machine-learning research (15,010 words) [view diff] exact match in snippet view article find links to article
speakers uttered two Japanese vowels successively. Applied 12-degree linear prediction analysis to it to obtain a discrete-time series with 12 cepstrum coefficientsHistory of network traffic models (3,516 words) [view diff] exact match in snippet view article find links to article
Autoregressive models: The Autoregressive model is one of a group of linear prediction formulas that attempt to predict an output y_n of a system based onList of fellows of IEEE Computer Society (124 words) [view diff] exact match in snippet view article find links to article
management. 1980 John Makhoul For contributions to the theory of linear prediction and its applications to spectral estimation, speech analysis, and