This contributed volume brings out a comprehensive collection of changes from cellular to molecular levels in medicinal plants under extreme environments. The focus of this book is to address the molecular changes in medicinal plants under different abiotic stresses. Medicinal plants are regarded as rich resources of components that can be used for drug development in the pharmaceutical industry. A few medicinal plants are considered vital sources of nutrients and solicited for their therapeutic properties. Therefore, it is essential to understand medicinal plants' interaction under abiotic stresses as compounds obtained from these plants play an important role in human health. This book is of interest to students, teachers, researchers, scientists, medicinal plant experts, and policymakers. Also, the book provides study material for undergraduate and graduate students of botany, environmental sciences, medicinal and aromatic plants, biochemistry, and biotechnology. National and international scientists working in the area of medicinal plants, drug development, and policymakers will also find this a useful read

This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use. It provides a comprehensive background to the subject and at the same time describes some novel algorithms. It also investigates application value and performance-related parameters of compressive sensing in scenarios such as direction finding, spectrum monitoring, detection, and classification.

This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use. It provides a comprehensive background to the subject and at the same time describes some novel algorithms. It also investigates application value and performance-related parameters of compressive sensing in scenarios such as direction finding, spectrum monitoring, detection, and classification.

This monograph presents a collection of major developments leading toward the implementation of white space technology - an emerging wireless standard for using wireless spectrum in locations where it is unused by licensed users. Some of the key research areas in the field are covered. These include emerging standards, technical insights from early pilots and simulations, software defined radio platforms, geo-location spectrum databases and current white space spectrum usage in India and South Africa.

This monograph presents a collection of major developments leading toward the implementation of white space technology - an emerging wireless standard for using wireless spectrum in locations where it is unused by licensed users. Some of the key research areas in the field are covered. These include emerging standards, technical insights from early pilots and simulations, software defined radio platforms, geo-location spectrum databases and current white space spectrum usage in India and South Africa.

Research in the domain of radar signal understanding has seen interesting advances in recent years, mainly due to the developments around cognitive radar and the use of modern machine learning algorithms. This book brings together these strands of research into a coherent and holistic picture, presenting a consolidated approach to understanding radar signals. The book begins with an introduction, which provides some historical and philosophical context to developing methodologies for understanding radar signals, introduces new techniques, and outlines the book's approach to the topic. The book is then divided into three parts: the first focusing on statistical and conventional methods for interpreting radar data; the second addressing compressed sensing and cognitive methods for understanding radar data; and the third covering machine learning methods for understanding radar and remote sensing data. New Methodologies for Understanding Radar Data provides a complete, systematic guide to this multi-faceted topic for advanced researchers and professionals in radar engineering and signal processing.

A study of aerosol optical depth (AOD) using MICROTOP-II Sunphotometer has been carried out at three different places over Delhi (tropical semi-arid climate) viz. Jawaharlal Nehru University (JNU), Mukherjee Nagar (MN) and Patel Nagar (PN). Results show a systematic spectral dependence of AOD according to classical Mie scattering theory. To characterize AOD, Angstrom parameters and have been analyzed and results show an inverse relationship between them over all the sites. Aerosol size distribution has been determined from AOD measurements using King et al. (1978) inversion algorithm. Daily mean columnar aerosol size distribution shows power law size distribution i.e. Junge size distribution. Diurnal variations of AOD and that have been studied over JNU only indicate vehicular emissions as a main source of aerosol loading. The Coarse Mode Fraction (CMF) and Fine Mode Fraction (FMF) results of all the sites show the dominance of fine aerosol particles further strengthening the result that vehicular emissions are the major source of air pollution over Delhi."