The Prism is a new signal processing module which implements fully recursive, linear phase FIR filtering, so its computational cost fixed irrespective of filter length. also has negligible design cost. Recent work demonstrated how, using simple rules, chain six Prisms can create narrowband with arbitrary central frequency and bandwidth. In this paper, the technique applied to spectral analysis ...

Abstract—In modern days, Image processing is now of utmost importance, especially in real-time scenarios where errors contemporaneous image could have disastrous results; the research and analysis methods real- time istherefore extraordinary importance. Real-time methodologies are consequently significance. This article's main aim to provide an overview currentstate (Applications), useful metho...

Methods of estimation of density and regression function are quite common in statistical applications. Wavelet theory has the potential to provide statisticians with powerful new techniques for nonparametric inference. It combines recent advances in approximation theory with insights gained from applied signal analysis. Nonparametric curve estimation by wavelets has been treated in numerous art...

The natural complexity of ecological communities regularly lures ecologists to collect elaborate data sets in which confounding factors are often present. Although multiple regression is commonly used in such cases to test the individual effects of many explanatory variables on a continuous response, the inherent collinearity (multicollinearity) of confounded explanatory variables encumbers ana...

Machine learning techniques are attractive tools to establish statistical models with a high degree of non linearity. They require a large amount of data to be trained and are therefore particularly suited to analysing remote sensing data. This work is an attempt at using advanced statistical methods of machine learning to predict the bias between Sea Surface Temperature (SST) derived from infr...

much attention has recently been paid to natural language processing in information storage and retrieval. this paper describes how the application of natural language processing ( nlp ) techniques can enhance cross-language information retrieval ( clir ). using a semi-experimental technique, we took farsi queries to retrieve relevant documents in english. for translating persian queries, we us...

Extracting forest variables from airborne laser scanner has less than 10 years of history. During that time, however, a new area in the field of forest studies has emerged. This paper describes existing algorithms and methods of airborne laser scanning that are used for forest measurements. The methods are divided into the following categories: 1) extraction of DTM (digital terrain model), 2) e...