The Synchrosqueezing transform for instantaneous spectral analysis

The Synchrosqueezing transform is a time-frequency analysis method that can decompose complex signals into time-varying oscillatory components. It is a form of time-frequency reassignment that is both sparse and invertible, allowing for the recovery of the signal. This article presents an overview of the theory and stability properties of Synchrosqueezing, as well as applications of the technique to topics in cardiology, climate science and economics

Deterministic Bayesian Information Fusion and the Analysis of its Performance

This paper develops a mathematical and computational framework for analyzing the expected performance of Bayesian data fusion, or joint statistical inference, within a sensor network. We use variational techniques to obtain the posterior expectation as the optimal fusion rule under a deterministic constraint and a quadratic cost, and study the smoothness and other properties of its classification performance. For a certain class of fusion problems, we prove that this fusion rule is also optimal in a much wider sense and satisfies strong asymptotic convergence results. We show how these results apply to a variety of examples with Gaussian, exponential and other statistics, and discuss computational methods for determining the fusion system's performance in more general, large-scale problems. These results are motivated by studying the performance of fusing multi-modal radar and acoustic sensors for detecting explosive substances, but have broad applicability to other Bayesian decision problems

Image Compression Using Lossless Compression Techniques

Image compression is an application of data compression that encodes the original image with few bits. Data compression method reduces the size of data by reducing irrelevancy and redundancy of the image data, so data can store and transmit in an efficient form.. In this paper we discuss the basic introduction about image compression, various types of lossless image compression techniques

CURCUMIN – THE HEALING HERB: PROPERTIES AND FUTURE PROSPECTIVE

Curcumin, the main bioactive compound found in turmeric rhizomes, has a wide variety of applications in the clinical field that is why it attracts researchers from all over the world. While there are various studies on curcumin extraction and quantification, comparison of curcumin content according to the soil profile and cultivation period has not been performed yet in our knowledge. Curcumin to be a genuine natural product having impressive anti-oxidant and anti-inflammatory properties, treating a wide range of diseases. Curcumin is a special gift to humans given by mother-nature to help them curing many diseases. Turmeric, the plant containing a significant amount of this molecule, has been used for many centuries as a traditional medicine to cure skin problems, digestive issues, as painkiller, and much more. From the past two centuries, scientists found many applications of this molecule in the clinical field. There are still many properties of this wonder drug that need to be discovered. However, the obstacle in this track is difficulty in extracting the pure and high amounts of curcumin from turmeric rhizomes. For this reason, many researchers have searched about many techniques to extract curcumin from turmeric rhizomes, of which ultra-high-performance liquid chromatography-mass spectrometry has been found very efficient. The review will assist the researchers to discover and choose the plant to develop adequate medicine for establishing cost-effective treatments