Linear prediction
NEW RESULTS ON FRACTIONAL LINEAR PREDICTION
... the linear prediction for fractional steps is reviewed, widening well-known concepts and ...This prediction is used to derive a causal interpolation ...
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Tonal Language Speech Compression Based on a Bitrate Scalable Multi-Pulse Based Code Excited Linear Prediction Coder
... MP-CELP core coder: The MP-CELP core coder achieves a high coding performance by introducing a multi-pulse vector quantization as depicted in Fig. 2 (Taumi et al., 1996; Ozawa et al., 1996). The input speech of 10 ms ...
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Gray Scale Image Compression Based on Wavelet Transform and Linear Prediction
... in linear predictive coding to compress ...Using linear prediction on these coefficients the image is ...The prediction is done in both the dimensions, so the numbers of coefficients retained ...
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Speech Compression for Noise-Corrupted Thai Expressive Speech
... MP-CELP core coder: The MP-CELP core coder achieves a high coding performance by introducing a multi-pulse vector quantization as depicted in Fig. 3 (Ozawa et al., 1996). The input speech of a 10-ms- length frame is ...
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Fractional Discrete-Time Signal Processing: Scale Conversion and Linear Prediction1
... the linear prediction for fractional steps is reviewed, widening well-known concepts and ...This prediction is used to derive a causal interpolation ...
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SELECTION IN SEVERAL ENVIRONMENTS BY BLP AS AN ALTERNATIVE TO POOLED ANOVA IN CROP BREEDING
... However, the presence of fair estimates of fixed effects, coupled with a large amount of historical of data on variance components and heritability estimates makes it possible to combine information from several ...
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Performance Comparison of Gender and Age Group Recognition for Human-Robot Interaction
... The material of this paper is organized into following fashion. In section 2, we describe and discuss about well- known feature extraction methods Mel-Frequency Cepstral Coefficients (MFCC) and Linear ...
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Reference values for lung function tests: I. Static volumes
... Gender-specific linear prediction equations were developed by mul- tiple regression analysis with total lung capacity (TLC), functional residual capacity (FRC), residual volume (RV), RV/TLC ratio and ...
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Nearest template prediction: a single-sample-based flexible class prediction with confidence assessment.
... leukemia (ALL) and acute myeloid leukemia (AML). Previously reported ALL-AML signature was evaluated on the test set (N = 35) employed in the study. Samples are ordered according to proximity to either of the template of ...
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APOSTILA Matrizes e Determinantes
... Adição: A soma de matrizes de mesma ordem ou de mesma dimensão, m × n, é ainda uma matriz de ordem m × n, cujos elementos são obtidos pela soma dos elementos correspondentes das mat[r] ...
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O PERAÇÕES E MATRIZES ELEMENTARES
... 12 – A tabela abaixo exibe as porcentagens de albumina, carboidrato e lipídio em cada um dos alimentos A, B e C.. Em um circuito elétrico é possível determinar a corrente em cada trecho[r] ...
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Estudo dirigido SistLineares escalonamento IFBA
... Consiste em reduzir a matriz ampliada associada de um sistema à uma matriz que difere da matriz linha-equivalente à forma escada na condição 3 da sua definição, que dizia: “cada coluna [r] ...
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Combining structural modeling with ensemble machine learning to accurately predict protein fold stability and binding affinity effects upon mutation.
... filtering methodologies have been used by the different authors. In addition, most of these methods are only available as web servers for small-scale prediction purposes, but not for training and evaluation in ...
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Dental Press J. Orthod. vol.16 número2 en a01v16n2
... tional arena. But this is just the beginning. Impressed with the growth of Brazilian publi- cation in dentistry, I was puzzled over the future scene. Maintaining current growth rates of the publishing countries how will ...
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Reference values for lung function tests: III. Carbon monoxide diffusing capacity (transfer factor)
... underlying mechanisms are still speculative, it is noteworthy that we found identical re- sults regarding the static LV prediction (6). Apart from potential small but additive dif- ferences in any of the several ...
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Integration of Attributes from Non-Linear Characterization of Cardiovascular Time-Series for Prediction of Defibrillation Outcomes.
... Methods of feature extraction represent another link in the computational chain of steps involved. The dual-tree complex wavelet transform used in this study provides both time and frequency localization for ...
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A consistency-based feature selection method allied with linear SVMs for HIV-1 protease cleavage site prediction.
... The most recent results of the FS-MLP method presented by Kim et al. [12] render better performance compared to information gain, Relief, FS-SVM, and FS-P. Yet we have proposed C-FS-SVM involving column-consistency and ...
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Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network
... traffic prediction is a non linear & dynamic which depends on many other dynamic resources as SDCCH Seizure Attempts, SDCCH Success Calls, TCH Assign, TCH Success Calls, TCH Availability Rate, Incoming ...
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Prediction of Genotypic Values and Estimation of Genetic Parameters in Common Bean
... components, prediction of breeding values using REML/BLUP ...Best Linear Unbiased Prediction (BLUP) to analyze the experiments involving 18 common bean genotypes cultivated at 25 sites in São Paulo ...
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A Similar Structure Block Prediction for Lossless Image Compression
... The key in efficient image compression is exploring the source correlation to find a compact representation of image data. Existing lossless image compression [1], [2] schemes attempt to predict image data using their ...
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