Cavitation Coefficient

ClebschGordan(j1,j2,j,m1,m2,m) is the Clebsch-Gordan coefficient . This is used in the theory of angular momentum in quantum mechanics.

Stagewise operation with two different recycle types are considered. The five stages extraction cascade is solved using Simulink. A tank holding the solvent is connected to the extraction cascade. This solvent container is either a perfectly mixed tank or a plug flow tube. This problem with a...

This Program Performs the following:(1) Animates the movement of a Billiard Ball on a table that has a surface friction (mu) and coefficient of restitution (e) for the sides and saves it as an AVI file.(2) Outputs series of rows and columns that displays the stream data of (Time),(X),(Y),(V), and...


Platforms: Matlab

It calculates the Spearman rank correlation coefficient from 2 or more data sets, and the associated t-test and p-values. The code is adapted with major changes from the Numerical Recipes book (http://www.nr.com/)Example:>> x = [1 2 3 3 3]';>> y = [1 2 2 4 3; rand(1,5)]';>> [r,t,p] = spear(x,y)>>...


Platforms: Matlab

Semi variance method and scaled windowed variance method for fractal time series analysis.Referernce: Evaluating scaled windowed variance methods for estimating the Hurst coefficient of time series Physica A: Statistical and Theoretical PhysicsVolume 241, Issues 3-4, 15 July 1997, Pages 606-626


Platforms: Matlab

X must be a N-by-K matrix, N is the number of "candidate" and the K is the number of "judge".


Platforms: Matlab

In many cases, simulating a dynamical system is best achieved by defining several modes in which it can exist and modeling each mode independently. This approach is known as "hybrid modeling". There is significant academic literature on the subject, but at its most basic level, a hybrid model...


Platforms: Matlab

Improved version of Wigner6j by Amita B Deb. This version returns zero if the triangle inequalities are not satisfied. Also, some undesired output is suppressed.


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

For given p(x) = PROD[i=1,m]{SUM[j=2,n+2]{(A(i,j)*x^(j-2))^A(i,1)}} we shall get p(x) = SUM[s=1,N+1]{p(s)^(N+1-s)} For example If p(x) = (x-4)^5 * (3x^6-7x^3+5x+2)^2 * (x^3+8)^3 * x^2 or A = [ 5 -4 1 0 0 0 0 0 2 2 5 0 -7 0 0 3 3 8 0 0 1 0 0 0 1 0 0 1 0 0 0 0 ] then from p = polyget(A) we get p =...


Platforms: Matlab

The correlation coefficient calculation is implemented not with built-in function corr or corr2 but with conv2. Function corr is relatively slow for template matching purpose and it is also required extra considerations on controlling the boundary and selecting region of interest on the frame...


Platforms: Matlab

The purpose of the speech is communication. The area of speech processing is just developing, and shows the tremendous potentialities for widespread use in the future.In this project we have processed the speech signal with the help of the DIGITAL SIGNAL PROCESSING techniques. The speech signal...


Platforms: Matlab

Multiband spectral subtraction as proposed by Kamath 2002. Uses adjusts the subtraction coefficient with the frequency as well as the SNR. note that the first 0.25sec of your signal is used to model the noise.


Platforms: Matlab

Bayesian Model Averaging for linear models under Zellner's g prior. Options include: fixed (BRIC, UIP, ...) and flexible g priors (Empirical Bayes, hyper-g), 5 kinds of model prior concepts, and model sampling via model enumeration or MCMC samplers (Metropolis-Hastings plain or reversible jump)....


Platforms: Matlab

Cohen's kappa coefficient is a statistical measure of inter-rater reliability. It is generally thought to be a more robust measure than simple percent agreement calculation since Kappa takes into account the agreement occurring by chance.Kappa provides a measure of the degree to which two judges,...


Platforms: Matlab

Computes mel frequency cepstral coefficient (MFCC) features from a given speech signal. The speech signal is first preemphasised using a first order FIR filter with preemphasis coefficient. The preemphasised speech signal is subjected to the short-time Fourier transform analysis with a specified...


Platforms: Matlab

The purpose of this file is to provide beginners a way to understand and analyse time varying coefficient values within regression analysis particularly with financial data analysis.The file is easily customisable to suit requirements and contains information describing the code for ease.I am new...


Platforms: Matlab

PCG Preconditioned Conjugate Gradients Method is a replacement of the standard built-in PCG code. Two new options are implemented: 'flex' and 'null'. The 'flex' option changes the standard PCG algorithm into the flexible one. It allows using sophisticated preconditioning, not limited to the...


Platforms: Matlab

This function can calculate any of the 6 different ICCs defined by McGraw as well as their confidence intervals. In addition a hypothesis test is performed with the null hypothesis that ICC = r0. This function calls anova_rm (provided inside the zip file).Syntax:[r, LB, UB, F, df1, df2, p] =...


Platforms: Matlab

http://simulations.narod.ru/Using:ind=all_combinations(n,k)Number of all posible variants is nv=C(n,k)=n!/(k!*(n-k)!) (binomial coefficient)ind is nv-by-k matrix. Example, 2 indexes from 1 2 3:all_combinations(3,2)ans = 1 2 1 3 2 3Example 3 from 5:all_combinations(5,3)ans = 1 2 3 1 2 4 1 2 5 1 3...


Platforms: Matlab