Groups of diffeomorphisms and geometric loops of manifolds over ultra-normed fields

The article is devoted to the investigation of groups of diffeomorphisms and loops of manifolds over ultra-metric fields of zero and positive characteristics. Different types of topologies are considered on groups of loops and diffeomorphisms relative to which they are generalized Lie groups or topological groups. Among such topologies pairwise incomparable are found as well. Topological perfectness of the diffeomorphism group relative to certain topologies is studied. There are proved theorems about projective limit decompositions of these groups and their compactifications for compact manifolds. Moreover, an existence of one-parameter local subgroups of diffeomorphism groups is investigated.Comment: Some corrections excluding misprints in the article were mad

Studies in Signal Processing Techniques for Speech Enhancement: A comparative study

Speech enhancement is very essential to suppress the background noise and to increase speech intelligibility and reduce fatigue in hearing. There exist many simple speech enhancement algorithms like spectral subtraction to complex algorithms like Bayesian Magnitude estimators based on Minimum Mean Square Error (MMSE) and its variants. A continuous research is going and new algorithms are emerging to enhance speech signal recorded in the background of environment such as industries, vehicles and aircraft cockpit. In aviation industries speech enhancement plays a vital role to bring crucial information from pilot’s conversation in case of an incident or accident by suppressing engine and other cockpit instrument noises. In this work proposed is a new approach to speech enhancement making use harmonic wavelet transform and Bayesian estimators. The performance indicators, SNR and listening confirms to the fact that newly modified algorithms using harmonic wavelet transform indeed show better results than currently existing methods. Further, the Harmonic Wavelet Transform is computationally efficient and simple to implement due to its inbuilt decimation-interpolation operations compared to those of filter-bank approach to realize sub-bands

Adult Pure Yolk Sac Tumor of The Testis.

Adult pure yolk sac tumor (YST) is extremely rare. In childhood pure yolk sac tumors are most frequently seen, whereas component of mixed germ cell testicular tumors observed in adults. They have different biological behavior than the childhood tumors. We herein report a case of adult pure yolk sac tumor of left testis in 40 years old man. Until now limited number of the cases has been reported in the literature

Multilocular Cystic Renal Cell Carcinoma: An Unusual Gross Appearance

Multilocular Cystic Renal Cell Carcinoma (MCRCC) represents a rare variant of clear cell (conventional) renal cell carcinomas. Attributable to its distinct characteristics in prognosis and its natural history, MCRCC was recognised as a separate subtype of renal cell carcinoma in the 2004 WHO classification of adult renal tumors. We report this case of MCRCC from antemortem surgical specimen, due to its unusual gross appearance and a rare clinical entity

29 W High power CW supercontinuum source.

Submitted versio

Subcutaneous Phycomycosis in a Child

Subcutaneous phycomycosis is a rare entity. We hereby report a case of subcutaneous phycomycosis in 18 months old female child who presented with a painless, non-tender swelling on the thigh. Skin biopsy showed eosinophilic granuloma lying deep in the subcutaneous tissue, with sparse hyphae. Culture on Sabouraud's dextrose agar showed characteristic colonies. Patient was started on oral potassium iodide. The swelling was completely resolved after one month of treatment

Active Noise Control using Variable step-size Griffiths’ LMS (VGLMS) algorithm on Real-Time platform

This paper proposes implementation of Griffith’s Variable step-size algorithm for Active Noise Control (ANC) on ADSP-TS201 EZ-Kit Lite. The dual computational units and execution of up to four instructions per cycle which are special features over other processors are best utilized to generate an optimized code. The VGLMS provides improved secondary path estimation and computations involved are marginal as the same gradient is used for step-size computation and coefficient adaptation. The improved secondary path estimate, in turn improves the ANC performance. Further, variable step-size algorithm is used for the main-path to achieve faster convergence. Both for narrowband (fundamental and its harmonics) and broadband noise fields, for a duct the attenuation achieved is 25 dB and 15 dB respectively. The program execution time was only 1.25% for an input sampling rate of 1 KHz which indicates the utility of the special features of the processor considered. Further these features have enabled in bringing down the program memory requirement in the implementation of the algorithm