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R Kumaresan

Publications and source records attributed to R Kumaresan.

3 recordsLinked to original sources
PubMed2002

Nuclear localization of non-specific acid phosphatase(s) activity in rat vaginal epithelium.

The nuclear localization of non-specific acid phosphatase(s) in rat vaginal epithelial cells (VEC) by histochemical and biochemical techniques has been reported in the present work. By different histochemical methods, the enzyme activity was predominantly localized in certain nuclei but not in all of them, however, within the nucleus nucleoli are free from the enzyme activity. This enzyme is diffused in the nucleoplasm and perhaps tightly associated with the nuclear proteins. Very little activity was seen in the cytoplasm in the selective population of VEC. After 12 h treatment of estradiol 17beta in vivo the VEC lose the enzyme activity in the basal and intermediate layers, and the activity remains within the nuclei of luminal cells. Enzyme assay in low and high salt extracts of the isolated nuclei of the VEC with or without the enzyme inhibitors indicates that this enzyme may be present in isoforms in the VEC. No activity was observed in these cells at alkaline pH.

Acid Phosphatase↗
PubMed2001

On representing signals using only timing information.

It is well known that only a special class of bandpass signals, called real-zero (RZ) signals can be uniquely represented (up to a scale factor) by their zero crossings, i.e., the time instants at which the signals change their sign. However, it is possible to invertibly map arbitrary bandpass signals into RZ signals, thereby, implicitly represent the bandpass signal using the mapped RZ signal's zero crossings. This mapping is known as real-zero conversion (RZC). In this paper a class of novel signal-adaptive RZC algorithms is proposed. Specifically, algorithms that are analogs of well-known adaptive filtering methods to convert an arbitrary bandpass signal into other signals, whose zero crossings contain sufficient information to represent the bandpass signal's phase and envelope are presented. Since the proposed zero crossings are not those of the original signal, but only indirectly related to it, they are called hidden or covert zero crossings (CoZeCs). The CoZeCs-based representations are developed first for analytic signals, and then extended to real-valued signals. Finally, the proposed algorithms are used to represent synthetic signals and speech signals processed through an analysis filter bank, and it is shown that they can be reconstructed given the CoZeCs. This signal representation has potential in many speech applications.

Journal Article↗