Modern signal and image analysis by generalized entropy

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(1) We proposed a new mutual information criterion for deciding an optimal mixture distribution and an optimal threshold. (2) We proposed the usage of Renyi's alpha-entropy as a measure of width of marginal distribution and obtained very intuitive new and simple ICA methods. (3) We proposed an adaptive method for smoothing the periodogram for positive time-frequency representation. For impulse train time-frequency analysis, we proposed an inverse domain demodulation method of IPFM and an objective evaluation method for demodulators. Further, we proposed distance estimation method exploiting time-frequency feature of reflected signal from a moving object.