Taylor Polynomial Approximation

[M, L] = jury(P,N)This function gives the Jury's array from a numerical or SYMBOLIC polynomial and includes the two special cases: (1) the first element of the second row of a block is zero; (b) a row of zeros (when there are roots on unit circle or reciprocal roots like (r,1/r). The symbolic...

It returns a vector POL, if it exists, such that conv(POL,POL) = P. P is a vector whose elements are the coefficients of a polynomial in descending powers

Use coeffs = fit2dPolySVD(x, y, z, order) to fit a polynomial of x and y so that it provides a best fit to the data z.Uses SVD which is robust even if the data is degenerate. Will always produce a least-squares best fit to the data even if the data is overspecified or underspecified.x, y, z are...


Platforms: Matlab

Interleaved, Successive Approximation, and Pipelined Sub-Ranging ADC models. These models are typical of the architectures used for high speed analog to digital converters.


Platforms: Matlab

DIAS stands for 'Disability Impairment Approximation Simulator' and is a Netbeans IDE plugin. It approximately simulates the difficulties someone with vision and other impairments face when interacting with Java Swing GUIs.


Platforms: Windows, Mac, Linux

Script that plots streamlines around a circle and around the correspondig Joukowski airfoil. It's obviously calculated as a potential flow and show an approximation to the Kutta-Joukowski Lift.


Platforms: Matlab

This is an example of the basic Active Shape Model (ASM) and also the Active Appearance Model (AAM) as introduced by Cootes and Taylor, with multi-resolution approach, color image support and improved edge finding method. Very useful for automatic segmentation and recognition of biomedical...


Platforms: Matlab

Least Square method is common curve fitting approch. But for special some function, the tradiational Least Square method is hard to get enough accurancy dueo to gobal approximation. Moving Least Square(MLS) can fit any differentiable function through local approximation.Here I share MLS2D...


Platforms: Matlab

Based on the concept of the Taylor Table given in Fundamentals of Computational Fluid Dynamics by Lomax, Pulliam, and Zingg.Given the terms of the point operator, "TaylorTable" will determine the coefficients of the terms which minimizes the Taylor series error. It will also determine the Taylor...


Platforms: Matlab

LaguerreGen calculates the generalized Laguerre polynomial L{n, alpha}This function computes the generalized Laguerre polynomial L{n,alpha}.If no alpha is supplied, alpha is set to zero and this function calculates the "normal" Laguerre polynomial.Input: - n = nonnegative integer as degree level...


Platforms: Matlab

Program FFTSIGMA plots Fourier series representations with sigma approximation. The figures show effects of the number of series terms and use of Lanczos sigma factors to smooth Gibbs oscillations. The Fourier series of a periodic function with period px has the approximate form: f(x) = sum(...


Platforms: Matlab

Functions NELSONFUN and NELSONFIT evaluate and fit (with non-linear least-squares) the Nelson-Siegel function, a popular yield-curve approximation device.


Platforms: Matlab

Partial sums of Fourier terms for a function with jumps in value or derivative converge poorly, because of the Gibbs phenomenon. This file uses the Fourier coefficients, and locations of the singularities, to construct a different approximation that converges spectrally. For details, see T. A....


Platforms: Matlab

This code evaluates the root of transcendental equation with the help of Newton Raphson method with enhanced features like vanishing of differential of a function, Infinite cycling for root due to a poor initial approximation or when a root exists but differential does not.Use of symbolic Toolbox...


Platforms: Matlab

These windows are obtained by the polynomial expression w(n)=(16(n/Ns-1))^4-8(n/8Ns-1))^2+1)^L0


Platforms: Matlab

These functions show some advances about MPF (Matrix Polynomial Fraction) using for represent multivariable models and design multivariable control system.


Platforms: Matlab

This code implements the 1D polynomial regression method. It uses the least square method for the finding of regression polynomial coefficents. Outputs of the script are polynomial regression coefficients, residuals, the sum of squared errors, the determination index and the graphical comparison...


Platforms: Matlab

This code permits us to generate the polynomiographyof the Newton's method for the one parameter cubic polynomial p(z)= z^3+(c-1)*z-c, where c is the parameter spaceWe first check that 0 is a free critical point of Newton method for the polynomial p(z)


Platforms: Matlab

%%%%%%%%%%%%%%%%% EULER_backward_ODE.m %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Euler modified approximation method to solve IVP ODEs% f defines the function f(t,y)% t0 defines initial value of t% y0 defines initial value of y


Platforms: Matlab

This program calculates BER curve against SNR for QPSK Modulation in Gaussian Environment.It calculates 100 errors for for each SNR value before calculating BER. This gives a good approximation of BER.I hope this will help students alot.Please feel free to contact me should anyone has any queries.


Platforms: Matlab