Traditional iterative estimate methods are replaced by the Gauss-Jacobi combinatorial algorithm. In nonlinear models, where other parameter estimate approaches fail, the combinatorial approach is frequently employed for outlier diagnosis. The purpose of this study is to compare the effectiveness of the Gauss-Jacobi and Gauss-Markov models when used to the parameter estimation process of a levelling network for the purpose of determining the efficiency of a combinatorial algorithm in a simple linear model. The Man-Machine-Interface (MMI) is a communication device that connects the brain to a computer in order to obtain and analyse brain data. The electrical signals produced by nerve cells are captured by the EEG. The goal of this work is to present the findings of EEG signal categorization and the use of appropriate music to represent different people's emotions based on their emotions. The study was carried out on a dataset that included 10 people who were exposed to patriotic, joyful, romantic, and sad songs, as well as relaxing activities.
Author (s) DetailsGuruprasad S.
BMS Institute of Technology & Management, Bengaluru, Karnataka, India.
Veena N.
BMS Institute of Technology & Management, Bengaluru, Karnataka, India.
S. Mahalakshmi
BMS Institute of Technology & Management, Bengaluru, Karnataka, India.
View Book : https://stm.bookpi.org/AAER-V11/article/view/1255
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