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68 results for “Linear Prediction (LP)”
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Research ArticleOpen accessEvery word in the titleThe Use of Band Selection in Weighted Linear Prediction for Hyperspectral Image ClassificationIbtissam Banit'ouagua, Mounir Ait Kerroum, Ahmed HammouchThe advancement of imaging procedures has made hyperspectral sensors fit for acquiring spectral data in many restricted and bordering bands, which brings about a high relationship between's neighboring bands and high information excess. It is important to decrease these bands previously advance analysis utilizing land cover classification and target location. Going for the classification undertaking, this paper displays another weighted … …Journal of Computer Science, Vol. 14, Issue 8 · 4 Sep 2018 · 8,262 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdaptive Linear Prediction Augmented Autoregressive Integrated Moving Average Based Prediction for VBR Video TrafficT. Raghuveera, P. V.S. Kumar, K. S. EaswarakumarProblem statement: Network traffic prediction plays a vital role in the optimal resource allocation and management in computer networks. This study introduces an ARIMA based model augmented by Adaptive Linear Prediction (ALP) for the real time prediction of VBR video traffic. The synergy of the two can successfully address the challenges in traffic prediction such as accuracy in prediction, resource … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 7,013 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Fundamental Frequency Contour of Coded Speech Based on Multi-Pulse Based Code Excited Linear Prediction AlgorithmSuphattharachai ChomphanProblem statement: In low-bit-rate speech communication, speech coding deteriorates the characteristics of the coded speech significantly. An important feature of the speech is the fundamental frequency contour which determines the pitch information of the speech. It has been known that pitch information is one of the core parameter of the multi-pulse based code excited linear prediction (MPCELP) speech coder. Therefore … …Journal of Computer Science, Vol. 7, Issue 6 · 14 Jun 2011 · 6,459 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHigh Pitch Delay Resolution Technique for Tonal Language Speech Coding Based on Multi-Pulse Based Code Excited Linear Prediction AlgorithmSuphattharachai ChomphanProblem statement: In spontaneous speech communication, speech coding is an important process that should be taken into account, since the quality of coded speech depends on the efficiency of the speech coding algorithm. As for tonal language which tone plays important role not only on the naturalness and also the intelligibility of the speech, tone must be treated appropriately. Approach: … …Journal of Computer Science, Vol. 7, Issue 1 · 14 Jan 2011 · 6,729 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titlePrediction of Body Weight from Linear Body Measurements in Sheep: A Systematic ReviewMathemba Kwezi Molosi, Lubabalo Bila, Thobela Louis TyasiThe aim of the study was to systematically review the literature on the prediction of the body weight from linear body measurement traits in sheep using four databases: Google Scholar, PubMed, Science Direct and Web of Science. The findings showed that eighteen (n = 18) articles with22% (n = 4) were from South Africa certified to be utilised in this … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 5 Jul 2025 · 3,543 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Study of Garuda Indonesia Stock Price Prediction Using SVM, LSTM and Multiple Linear RegressionMuhammad Naufal Luthfi, Evaristus Didik MadyatmadjaStock shares are one of the investment products or tools that have been used by many people. Shares have interesting options for saving or investment and are able to provide attractive returns based on corporate or company growth. Many factors can affect the share prices, whether internal or external companies. This research was conducted on Garuda Indonesia's stock price with … …Journal of Computer Science, Vol. 21, Issue 4 · 25 Mar 2025 · 5,032 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of Body Weight from Linear Body Measurement Traits of Boer Goats Raised at Farm Tivolie, Limpopo Province, South AfricaLebo Trudy Rashijane, Vusi G Mbazima, Thobela Louis TyasiA total of 72 Boer goats (females = 58 and males = 14) from the age of one to five years were used to determine the association between Body Weight (BW) and linear body measurement traits viz. Body Length (BL), Heart Girth (HG), Rump Height (RH), Rump Width (RW), Ear Length (EL), Cannon Circumference (CC) and Heard Width (HW) and … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 4 · 20 Nov 2021 · 6,872 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntegrated Multiple Linear Regression-One Rule Classification Model for the Prediction of Stock Price TrendLock Siew Han, Md Jan NordinOne of the main problems of predicting stock price with regression approach is overfitting a model. An overfit model becomes tailored to fit the random noise in the dataset rather than reflecting the overall population. For this it is necessary to construct an integrated regression-classification model to approximate the true model for the entire population in the dataset. The proposed … …Journal of Computer Science, Vol. 13, Issue 9 · 18 May 2017 · 7,422 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,132 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparison of Multiple Linear Regression and Neural Network Models in Bank Performance Prediction in BotswanaHassan Kablay, Victor GumboBank performance is critical to the banking sector and the economy as a whole. In this study, Multiple Linear Regression (MLR) technique and feed forward Neural Network (NN) are used to predict the performance of 11 banks in Botswana. Return on Assets (RoA) is used as the dependent variable, while management quality, credit risk, liquidity, financial leverage and capital adequacy … …Journal of Mathematics and Statistics, Vol. 17, Issue 1 · 10 Jan 2022 · 6,465 accessesView PDFCite