Software Listing: Coefficients

A = rc2lpc(K): K is vector of reflection coefficients: K = [k1, k2, ..., kp]. A is vector of linear prediction coefficients: A = [1, a_p(1), a_p(2),..., a_p(p)] If the second input argument is passed, i.e., A = rc2lpc(K,'matrix'), then A is the matrix: [1, 0, 0, 0,..............,0; 1, a_1(1),0,0.........,0; 1, a_2(1), a_2(2),....0; . . . 1,a_p(1),a_p(2),...,a_p(p)].

  • Platform: Matlab, Scripts

Computes the DFT of N real values and returns the first N/2+1 DFT coefficients. N is an integral power of two..

  • Platform: Matlab, Scripts
  • 3D-SPIHT
  • License: Freeware
  • Price: 0.00
  • Rating

These functions implement the 3D SPIHT algorithm, used for the compression of 3d wavelet coefficients. Such 3d wavelet coefficients are produced during the coding of video sequences..

  • Platform: Matlab, Scripts

Given a 8x8 data matrix, the program generates its corresponding DCT coefficients.

  • Publisher: Vittal
  • Date: 10-01-2013
  • Size: 10 KB
  • Platform: Matlab, Scripts

his simulation shown the system identification of an FIR and also the actual and estimated coefficients.

  • Platform: Matlab, Scripts

Toolbox for MMSE estimators of DFT coefficients under the generalized Gamma density The toolbox can also be downloaded from: http://ict.ewi.tudelft.nl/~richard/ The matlab files enclosed in this toolbox can be used to tabulate gain functions for clean speech complex-DFT, magnitude-DFT and magnitude squared-DFT estimators under an assumed Generalized- Gamma model for the clean speech magnitude DFT coefficients. For the theory behind these estimators and constraints on the parameters we refer to the articles [1] J.S. Erkelens, R.C. Hendriks, R. Heusdens, and J. Jensen, "Minimum mean-square error estimation of discrete Fourier coefficients with generalized gamma priors", IEEE Trans.

  • Platform: Matlab, Scripts

This file calculates iir canonic coefficients for a dspic (30F6014) for a given filter transfer function. It is a Pre Release and may not work correctly, but I hope you may help in debugging..

  • Platform: Matlab, Scripts

This matlab function computes the dft of a set of values and returns the dft coefficients. This is a three butterfly radix-2 algorithm..

  • Platform: Matlab, Scripts

It gets command line inputs from user about highest power and coefficients of characteristic equation and generates the table. It also comments on the stability of the system..

  • Platform: Matlab, Scripts

This programs gives solution of 2nd order differential equation with variable coefficients by Rayleigh Ritz method using linear interpolation.

  • Platform: Matlab, Scripts

This code solves the economic dispatch by quadratic programming.Monotonic quadratic Fuel cost equations with Bmn coefficients is considered this model..

  • Platform: Matlab, Scripts

It needs highest power and coefficients of the characteristic equation. It will also comment on stability of the system..

  • Platform: Matlab, Scripts

Given the coefficients of the characteristic polynomial the Routh-Hurwitz array is created and printed. Additionally, this method shows some results from the array relating to the stability of the system..

  • Platform: Matlab, Scripts

Calculates 6 different intraclass correlation coefficients based on the schema described by Shrout & Fleiss (Psychol Bull. 1979;86:420-428). See comments in code..

  • Platform: Matlab, Scripts

The aim of this application is to implement scalable mpeg type compression by varying DCT coefficients and finding minimum number of DCT coefficients that can give minimum acceptable quality.. This application only works for gray scale. Although this program will do its work but its slow. This code is without any comments i will try to add them. but for the time being if u have hard time understanding it you can always contact me.

  • Publisher: Zahid Ali
  • Date: 01-04-2013
  • Size: 82 KB
  • Platform: Matlab, Scripts

Enter the coefficients for the Ax2 + Bx + C = 0 equation and Quadratic Equation will output the solutions and plot(if they are not imaginary)..

  • Platform: Matlab, Scripts

This function computes a double block bootstrap percentile confidence interval and a bootstrap standard error for the difference of two z-transformed Pearson correlation coefficients. The z-statistic is defined as Zd = z1-z2 = atanh(r1)-atanh(r2), where r1 is the Pearson correlation coefficient between columns 1 and 2 of the input matrix and r2 is the correlation coefficient between columns 3 and 4. z1 and z2 denote Fisher's z of r1 and r2 respectively. References: -Efron, B. and R.J. Tibshirani (1993): An Introduction to the Bootstrap, Chapman & Hall. -BdoDshlmann, P. and M. MdoTAchler (2008): Computational Statistics, Lecture Notes, ETH Zurich.

  • Platform: Matlab, Scripts

Uses a recursion relation to generate all the binomial coefficients nchoosek(n,k) for a range n<=nmax, k<= n. This is much faster than using nchoosek to make this table. The idea of this function is to be used when you have to evaluate large sums involving binomial coefficients, generating this table and sampling it would be much quicker than generating elements on the fly. For this reason there is an inbuilt option that if the function is given two parameters it will generate a table of log(nchoosek) which is useful if it appears in summations where nchoosek may evaluate to inf..

  • Platform: Matlab, Scripts

Represent a wavefront as a sum of Zernike polynomials using a matrix inversion. This function attempts to solve the a_i's in equation, phi(rho,theta) = SUM(a_i * Z_i(rho,theta), i=1 to M), where the Z_i(rho,theta)'s are the Zernike polynomials from the zernfun.m file, phi is the wavefront to be represented as a sum of Zernike polynomials, the a_i's are the Zernike coefficients, and M is the number of Zernike polynomials to use. Input: phi - Phase to be represented as a sum of Zernike polynomials that must be an nXn array (square) (optional) M - Number of Zernike polynomials to use (Default = 12) Output: a - Zernike coefficients (a_i's) as a vector Note: zernfun.

  • Platform: Matlab, Scripts

Computes intraclass coefficients after the model ICC(2,1) given by Shrout & Fleiss (1979). Also computes confidence intervals and performs test for significant difference to a given value..

  • Platform: Matlab, Scripts

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