Blind Source Separation of Single Components from Linear Mixtures
نویسندگان
چکیده
منابع مشابه
Nonlinear Independent Component Analysis by Self-Organizing Maps
Linear Independent Component Analysis considers the problem of nd-ing a linear transformation that makes the components of the output vector statistically independent. This can be applied to blind source separation, where the input data consist of unknown linear mixtures of unknown independent source signals. The original source signals can be recovered from their mixtures using the assumption ...
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