One of the most critical decisions in the design of a localslant-stack transform (LSST) is the selection of its aperture, or more precisely, the selection of the appropriate number of traces and their weighting coefficients for each slant stack. The challenge is to achieve a good compromise between the slowness and the spatial resolution. Conventionally, the window size is chosen in a more intu...

Weighted linear prediction (WLP) is a method to compute allpole models of speech by applying temporal weighting of the residual energy. By using short-time energy (STE) as a weighting function, the algorithm over-weight those samples that fit the underlying speech production model well. The current work introduces a modified WLP method, stabilised weighted linear prediction (SWLP) leading alway...

The known ore deposits and mineralization trends are important key exploration criteria in mineral exploration within a specific region. Fry analysis has conventionally been considered as a suitable method to determine the mineralization trends related to linear structures. Based upon literature sources, to date, no investigation has been carried out that includes the Sensitivity Analysis of Fe...

For a non-stationary seismic signal, time–frequency analysis methods often include time window function that serves as weighting and by which the signal is multiplied to form segment. The has highest coefficient for central sample of rest segment, there no adequate representation in frequency spectrum. Here, I propose use multiple orthogonal functions properly represent local spectral property ...

In a dynamic reordering superscalar processor, the front-end fetches instructions and places them in the issue queue. Instructions are then issued by the back-end execution core. Till recently, the front-end was designed to maximize performance without considering energy consumption. The front-end fetches instructions as fast as it can until it is stalled by a filled issue queue or some other b...

Many real-world applications that focus on addressing needs of a human, require information about the activities being performed by the human in real-time. While advances in pervasive computing have lead to the development of wireless and non-intrusive sensors that can capture the necessary activity information, current activity recognition approaches have so far experimented on either a script...

This is directly applicable to a scalar signal (such as “number of respiratory cases today”. This method, more commonly used in computational finance, simply compares the count during the current time period with the weighted average of the counts of recent days. Exponential weighting is typically used, where the half-life is known as the “time window” parameter. This time-window parameter is t...