Application of Independent Component Analysis to Laryngeal Electromyography
نویسندگان
چکیده
منابع مشابه
Rank based Least-squares Independent Component Analysis
In this paper, we propose a nonparametric rank-based alternative to the least-squares independent component analysis algorithm developed. The basic idea is to estimate the squared-loss mutual information, which used as the objective function of the algorithm, based on its copula density version. Therefore, no marginal densities have to be estimated. We provide empirical evaluation of th...
متن کاملApplication of Independent Component Analysis to Chemical Reactions
The analysis of kinetic data monitored using spectroscopic techniques and its resolution into its unknown components is described. Independent Component Analysis (ICA) can be considered a calibration free technique with the outcome of the analyses being the spectral profiles of the unknown species. This enables the realisation of qualitative information concerning the identification of the numb...
متن کاملApplication of Polynomial Spline Independent Component Analysis to fMRI Data
In independent component analysis (ICA), it is assumed that the components of the observed k-dimensional random vector x = (x1, . . . , xk) are linear combinations of the components of a latent k-vector s = (s1, . . . , sk) such that s1, . . . , sk are mutually independent. This is denoted by x = As, (1) where A is a k× k full-rank non-random mixing matrix. The main objective then is to extract...
متن کاملApplication of Independent Component Analysis to Microarray Data
Independent Component Analysis (ICA) is introduced from the viewpoint of maximal information transfer for single neurons. This historical motivation for the development of ICA may be interesting from the viewpoint of independent agents because each neuron can be seen as a single agent. The current article compares the performance of ICA with Principal Component Analysis (PCA) for detecting core...
متن کاملPolynomial Matrix Approach to Independent Component Analysis: (part Ii) Application
This paper proposes two types of application of the method given in the paper (PART I). The first is suppression of disturbance with unknown dynamics in control systems. Assuming that a disturbance enters into a system independently of the control input signals, the method makes it possible to identify a denominator polynomial matrix of the disturbance dynamics, and then to design an H∞ control...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Japan Journal of Logopedics and Phoniatrics
سال: 2016
ISSN: 0030-2813,1884-3646
DOI: 10.5112/jjlp.57.227