Pii: S0079-6565(99)00015-1
نویسنده
چکیده
منابع مشابه
Pii: S0079-6565(99)00003-5
Nomenclature . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 204
متن کاملPii: S0079-6565(00)00032-7
1. Introduction and historical remarks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 160 2. Spectral estimators, parameter estimators and nonlinear problems . . . . . . . . . . . . . . . . . . . . . . . . . . . 164 3. Non-Hermitian quantum mechanics: connection to the harmonic inversion problem (HIP) . . . . . . . . . 167 4. HIP can be solve...
متن کاملPii: S0262-8856(99)00015-3
One of the most frequently used methods in image processing is thresholding. This can be a highly efficient means of aiding the interpretation of images. A new technique suitable for segmenting both gray-level and color images is presented in this paper. The proposed approach is a multithresholding technique implemented by a Principal Component Analyzer (PCA) and a Kohonen Self-Organized Featur...
متن کامل