Linear Interpolation

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  • Data sparseness is one of the factors that degrade statistical machine translation (SMT). Existing work has shown that using morphosyntactic information is an effective solution to data sparseness. However, fewer efforts have been made for Chinese-to-English SMT with using English morpho-syntactic analysis. We found that while English is a language with less inflection, using English lemmas in training can significantly improve the quality of word alignment that leads to yield better translation performance. ...

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  • Suitable for a one- or two-semester undergraduate-level electrical engineering, computer engineering, and computer science course in Discrete Systems and Digital Signal Processing. Assumes some prior knowledge of advanced calculus, linear systems for continuous-time signals, and Fourier series and transforms. Giving students a sound balance of theory and practical application, this no-nonsense text presents the fundamental concepts and techniques of modern digital signal processing with related algorithms and applications.

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  • Some people distinguish between savings and investments, where savings are monies placed in relatively risk-free accounts with modest rewards, and where investments involve more risk and the potential for greater rewards. In this book we do not distinguish between these ideas. We treat them both under the umbrella of investing.

    pdf297p orchid_1 28-09-2012 31 11   Download

  • Computers are one of the most important tools in any field of science and especially in physics. A student in an undergraduate lab will appreciate the help of a computer in calculating a result from a series of measurements. The more advanced researcher will use them for tasks like simulating an experiment, or solving complex systems of equations. Physics is deeply connected to mathematics and requires a lot of calculational skills. If one is only interested in a conceptual understanding of the field, or an estimate of the outcome of an experiment, simple calculus will probably suffice.

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  • This  paper  analyzes  the  stability  of  linear,  lumped,  quadratic,  and  cubic  spatial  interpolation functions in finite element one‐dimensional kinematic wave schemes for simulation of  rainfall‐runoff  processes.  Galerkin’s  residual  method  transforms  the  kinematic  wave  partial 

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Quadratic Interpolation and Linear Lifting Design

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  • In this paper the spline approximation was applied to the empirical vertical profiles of oceanographic parameters such as temperature, salinity or density to obtain a more precise and reliable result of interpolation. Our experiments with the case of observed temperature profiles in Eastern Sea show that the cubic polynomial spline method has a higher reliability and precision in a comparison with the linear interpolation and other traditional methods. The method was realized as a subroutine in our programs for oceanographic data management and manipulation.

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  • (BQ) Part 1 book "Fundamental numerical methods and data analys" has contents: A note added for the internet edition, a further note for the internet edition, introduction and fundamental concepts, the numerical methods for linear equations and matrices, polynomial approximation, interpolation, and orthogonal polynomials.

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  • We investigate a recently proposed Bayesian adaptation method for building style-adapted maximum entropy language models for speech recognition, given a large corpus of written language data and a small corpus of speech transcripts. Experiments show that the method consistently outperforms linear interpolation which is typically used in such cases.

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  • (BQ) Part 2 book "Applied numerical methods with MATLAB for engineers and scientists" has contents: Matrix inverse and condition, matrix inverse and condition, eigenvalues, linear regression, polynomial interpolation, numerical integration formulas,...and other contents.

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  • (BQ) Part 2 book "Applied numerical methods" has contents: Linear regression, fourier analysis, polynomial interpolation, splines and piecewise interpolation, numerical integration formulas, numerical integration of functions, numerical differentiation, boundary value problems,...and other contents.

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  • LINEAR PREDICTION MODELS Linear Prediction Coding Forward, Backward and Lattice Predictors Short-term and Long-Term Linear Predictors MAP Estimation of Predictor Coefficients Sub-Band Linear Prediction Signal Restoration Using Linear Prediction Models Summary inear prediction modelling is used in a diverse area of applications, such as data forecasting, speech coding, video coding, speech recognition, model-based spectral analysis, model-based interpolation, signal restoration, and impulse/step event detection.

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  • 2 Calibration, Verification, Statistical Treatment of Analytical Data, Detection Limits, and Quality Assurance/Quality Control If you can measure that of which you speak, and can express it by a number, you know something of your subject, but if you cannot measure it, your knowledge is meager and unsatisfactory. —Lord Kelvin CHAPTER AT A GLANCE Good laboratory practice .........................................................................................38 Error in laboratory measurement ............................................................................

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  • (BQ) Part 1 book "Numerical analysis" has content: Mathematical preliminaries and error analysis, solutions of equations in one variable, interpolation and polynomial approximation, numerical differentiation and integration, initial value problems for ordinary differential equations, direct methods for solving linear systems.

    pdf446p bautroibinhyen19 02-03-2017 6 3   Download

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