The analysis was carried out using MATLAB (Matlab 7.6.0 R2008a) to produce a calibration matrix.(4)C̲̲=aG̲̲+b̲̲where C̲̲ is the concentration matrix, a̲̲ is the matrix of constant values, G 0
In five 4 × 4 button matrix (four mixes, four ranks), the participant could then assign #1–#4 in order of preference to the mixes (#1 being best, #4 being worst), with no option of two or more mixes being the same rank for all five musical pieces. Additionally, the particip...
This optimization problem was solved using the parameter estimator of the system identification toolbox in MATLAB, which iteratively combines different parameters and compares a measured dataset to the model output for each iterative set of parameters. This process is repeated until a cost-function mini...
To assess the similarity between participants’ approaches to the mixes, we split the standardized slider data by participants and correlated the data vectors to generate a 28×2828×28 correlation matrix. To gain insight into the similarity of mixing approaches, we did the same thing on the data...
To assess the similarity between participants’ approaches to the mixes, we split the standardized slider data by participants and correlated the data vectors to generate a 28×2828×28 correlation matrix. To gain insight into the similarity of mixing approaches, we did the same thing on the data...