"Interpolation" Essays and Research Papers

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    Preprint‚ February 1‚ 2004 1 Computation of the Fractional Fourier Transform Adhemar Bultheel and H´ctor E. Mart´ e ınez Sulbaran 1 Dept. of Computer Science‚ Celestijnenlaan 200A‚ B-3001 Leuven Abstract In this note we make a critical comparison of some matlab programs for the digital computation of the fractional Fourier transform that are freely available and we describe our own implementation that filters the best out of the existing ones. Two types of transforms are considered: First

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    Numerical methods

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    Numerical Methods Questions 1 f(x) = x3 – 2x – 5 a) Show that there is a root β of f(x) = 0 in the interval [2‚3]. The root β is to be estimated using the iterative formula ‚2 5 2 0 2 1 1 =         =++ x x x n n b) Calculate the values of x1‚ x2‚ x3‚ and x4‚ giving your answers to 4 sig fig. c) Prove that‚ to 5 significant figures‚ β is 2.0946 2 Use the iterative formula n n n cox x x − =+ 1 1 With x1 = 0.5 to find the limit of the sequence x1‚ x2‚ x3

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    s1 notes

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    situation. it can be used to find solutions to problems without the need to construct a physical model. Normal Distribution: Interpolation: Finding the Median‚ Lower Quartile and Upper Quartile using Interpolation. b is the lower class boundary‚ f is the sum of all the frequencies below b‚ is the frequency of the class‚ w is the class width. Finding the Mean‚ Variance and Standard

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    differential equations

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    of Nonlinear Systems Method Interpolation:Introduction-Errors in Polynomial Interpolation - Finite differences- Forward difference‚ Backward differences‚ Central differences‚ Symbolic relations and separation of symbols-Difference equations – Differences of a polynomial - Newton’s Formulae for interpolation - Central difference interpolation formulae - Gauss Central Difference Formulae - Lagrange’s Interpolation formulae- B.

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    organic parts of the tragic play. They are of the opinion that only in the first comic scene do we see worked out with some care a comic burlesque of the main plot. Another objection on comic scenes in Dr. Faustus is that most of them are later interpolation and not from the mighty pen of Marlowe. Some of these critical arguments really hold good. If we study Marlowe’s play “Temburlaine”‚ we find him in the prologue to this play‚ proudly declaring that: “From jigging veins of rhyming mother wits

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    Lap Report

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    (radius 1.3 m) and the inflation pressure equals the local atmospheric pressure. 2.29 The viscosity of SAE 10W-30 motor oil at 38°C is 0.067 N · s/m2 and at 99°C is 0.011 N · s/m2. Using Eq. 2.8 for interpolation‚ find the viscosity at 60°C. Compare this value with that obtained by linear interpolation. 2.34 The velocity distribution for water (20°C) near a wall is given by u = a(y/b)1/6‚ where a = 10 m/s‚ b = 2 mm‚ and y is the distance from the wall in mm. Determine the shear stress in the water

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    Nt1310 Unit 1 Lab Report

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    EL 5023/EE4183 Wireless Information Systems Laboratory Lab #11 Software Defined Radio (SDR) I. Experimental Procedure Equipment List Universal Software Radio Peripheral (USRP) with Flex900 Radio Spectrum analyzer (Agilent E4411 or equivalent) PC with Matlab/Simulink R2011B CAT 6 Ethernet cable SMA(male)-to-BNC Adapter (for spectrum analyzer) 915 MHz Antenna (qty 2) A. INSTRUMENT CONNECTIONS: Connect the antenna to the SMA connector labeled RF1 port on the front of the USRP. Connect another antenna

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    Bca Se Syllabus

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    SYLLABUS FOR BACHELOR OF COMPUTER APPLICATIONS - SIMULTANEOUS ENTRY (BCA- SE) FIRST YEAR BCA 06 Introduction to Database Management System Block 1 : DBMS concepts : Introduction – Basics of Database – Three views of Data – Three level architecture of DBMS – Facilities – Elements of DBMS – Advantages and disadvantages – Database Models : File Management system and its drawbacks – Database Models : E-R Model‚ Hierarchical Model‚ Network Model‚ Relational Model. Block 2 : File Organization

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    measurement of latent heat flux (LE). Two statistical techniques‚ the principal component analysis (PCA) and a nonlinear interpolation approach were integrated into this LE gap-filling model. The PCA was first used to resolve the multicollinearity relationships among various environmental variables‚ including radiation‚ soil moisture deficit‚ leaf area index‚ wind speed‚ etc. Two nonlinear interpolation methods‚ multiple regressions (MRS) and the K-nearest neighbors (KNNs) were examined with random selected flux

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    Accoustic Speech

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    I44 IEEE TRANSACTIONS ON ACOUSTICS‚ SPEECH‚ AND SIGNAL PROCESSING‚ VOL. ASSP-34‚ NO. 4‚ AUGUST Speech Analysis/Synthesis Based on a Sinusoidal Representation Abstract-A sinusoidal model for the speech waveform used to de- speech compression. The amplitudes and frequencies of is velop a new analysislsynthesis technique that is characterized by the the underlying sine waves are estimated using Kalman filamplitudes‚frequencies‚ andphases of thecomponentsine waves. tering techniques‚ and each

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