Optimization application of wavelet- definition transformations for performance traffic multiservice networks

В статті було обчислено комплексні вейвлет-спектри модельних сигналів. Показано, що фазова характеристика, яка отримана з комплексного вейвлет-спектру, переважна при виявленні локальних особливостей сигналу навіть в разі відносної малості параметра, що характеризує особливість. Продемонстровано ефективність ДВП при аналізі сигналів з особливостями. На основі критерію мінімізації ентропії рекомендовано оптимальні вейвлети для кожної конкретної моделі сигналу.В данной статье были вычислены комплексные вейвлет-спектры модельных сигналов. Показано, что фазовая характеристика, полученная из комплексного вейвлет-спектра, преобладающая при выявлении локальных особенностей сигнала даже в условиях относительной малости параметра, характеризующего особенность. Продемонстрирована эффективность ДВП при анализе сигналов с особенностями. На основе критерия минимизации энтропии рекомендовано оптимальные вейвлеты для каждой конкретной модели сигнала.The complex wavelet-specter of model signals were calculated in this article. It is rotined that a phase-shift-frequency, got from a complex wavelet-specter prevailing at the exposure of local features of signal even in the conditions of relative trifle of parameter, characterizing a feature. Efficiency of DVP is shown at the analysis of signals with features. On the basis of criterion of minimization of энтропии optimum wavelet is recommended for every concrete model of signal

The development of a scale of the Guttman Type for the assessment of mobility disability in multiple sclerosis

Objective: The aim of the study was to develop a valid and reliable unidimensional scale of the Guttman type for the assessment of mobility disability in multiple sclerosis (MS). Subjects: Sixty-eight subjects with a definite diagnosis of MS participated.They were attending as outpatients at a MS unit at a District General Hospital. Thirty had the primary progressive pattern of disease, and 38 had the relapsing-remitting pattern. Methods: Formal assessments used for neurological disability were inspected, and 14 test items of gross motor function were extracted and ordered according to two criteria. These were that actions progressed from lying, to sitting, to standing and walking tasks, and that they progressed from broader to narrower bases of support. All subjects carried out all test items which were scored as ‘pass’ or ‘fail’. Analysis: Data were tested for internal consistency, reliability, inter item correlation, reproducibility and scalability. On the basis of the results, the items were re-ordered in rank, and reduced to eleven tests. The eleven item scale was re-analysed. Results: Results showed that the scale had an internal consistency of 0.88 (alpha coefficient) and a coefficient of reproducibility (CR) of 0.95 and above for both MS subject groups. The coefficient of scalability (CS) for items was 0.78 for primary progressive subjects and 0.74 for the relapsing-remitting group. Reliability ranged from good (kappa = 0.49) for one item, to perfect for six items. Conclusion: The scale was demonstrated to be a hierarchical scale of the Guttman type exhibiting homogeneous unidimensionality and good reliability. The high CR indicated that scores may be summed, and the very acceptable levels of CS indicated that the cumulative scores are meaningful within the defined concept of hierarchy used in this study