The morphology of the electroretinogram (ERG) can be altered as a result of normal and pathological processes of the retina. However, given that the ERG is almost solely assessed in terms of its amplitude and timing, defining the shape of the ERG waveform so that subtle, physiologically driven, morphological changes can be systematically and reproducibly detected remains a challenging problem. ...

We address the synthesis of fast, eecient and regular computational structures for the Discrete Wavelet Transform (DWT) algorithm , using linear space-time mapping and constraint driven localization techniques. Index space transformations are used to regularize the DWT algorithm and to avoid data collisions due to multiprojection. A summary of the data dependence and localization analysis is pr...

Internet and Multimedia technologies have become our daily needs. Hence it has become a common practice to create copy, transmit and distribute digital data. Obviously, it leads to unauthorized replication problem. Digital image watermarking provides copyright protection to image by hiding appropriate information in original image to declare rightful ownership. Aim of this paper is to provide c...

DWT is a tool for the maintenance of data warehouse structures based on the temporal data warehouse model COMET. Data warehouse systems do not provide support for maintaining changes in dimension data. DWT allows keeping track of modifications made in the dimension-structure of multidimensional cubes stored in an OLAP (On-Line Analytical Processing) system. We present the overall structure of t...

The Discrete Wavelet Transformations (DWT) are data intensive algorithms. Energy dissipation and execution time of such algorithms heavily depends on data memory hierarchy performance, when programmable platforms are considered. Existing filtering operations scheduling alternatives for the 1D-DWT, employ different levels of data accesses locality. However locality of data references, usually co...

Discrete wavelet transforms (DWTs) are mathematical tools that are useful for analyzing geophysical time series. The basic idea is to transform a time series into coefficients describing how the series varies over particular scales. One version of the DWT is the maximal overlap DWT (MODWT). The MODWT leads to two basic decompositions. The first is a scale-based analysis of variance known as the...

Discrete Wavelet Transform (DWT) and Discrete Cosine Transform (DCT) are the common methods used in signal and image compression. Wavelet transform are very powerful compared to Fourier transform because its ability to describe any type of signals both in time and frequency domain simultaneously. In this paper, we will discuss the use of Discrete Cosine Transform (DCT) and Wavelet Based Image c...

Resolution and contrast are the two important attributes of an image. In this paper we developed a method to enhance the quality of the given image. The enhancement is done both with respect to resolution and contrast. The proposed technique uses DWT and SVD. To increase the resolution, the proposed method uses DWT and SWT. These transforms decompose the given image into four sub-bands, out of ...

Since the discrete wavelet transform (DWT) is a kind of multi-rate transform, it is difficult to design an optimal computation-time architecture for the DWT. In this paper, we propose a highly efficient VLSI architecture for the 1-D DWT decomposition. This architecture contains two stages of systolic decimation filter banks to guarantee a high throughput and an optimal computation time. Using t...

Accurate forecasting of demand under uncertain environment is one of the vital tasks for improving supply chain activities because order amplification or bullwhip effect (BWE) and net stock amplification (NSAmp) are directly related to the way the demand is forecasted. Improper demand forecasting results in increase in total supply chain cost including shortage cost and backorder cost. However,...