This paper presents a very large scale integration (VLSI) circuit implementation for Epileptic
Seizure Prediction System based combination of wavelet and chaos theory. The system …

For ultra‐low‐power applications, the computing components are smaller in size and
consume less energy. In nonstationary signal analysis, the transformation plays an important …

Evaluating the previous work is an important part of develo** new hardware efficient
methods for the implementation of DWT through Lifting schemes. The aim of this paper is to …

The advantages of the wavelet transform over conventional transforms, such as the Fourier
transform, are now well recognized. Because of its excellent locality in time-frequency …

The floating-point implementation of a CDF-9-7 wavelet transform with irrational coefficients
on a resource limited hardware platform is a challenging task. This paper presents a new …

In this paper, an efficient approach to design a 2-D systolic array for high-speed
implementation of block-based lifting lossy 9/7 wavelet filter is proposed. The inherent …

In this paper, we develop a new method for the analysis of signal and image data using
Discrete Wavelet Transform (DWT). The new method reduces the size of the computing …

Efficient line based hardware architecture for the lifting based discrete wavelet of an image
is proposed in this work. Lifting Scheme reduces the number of operations execution steps …

In this paper we present a hardware architecture of the lifting-based, two-dimensional
discrete wavelet transform. The proposed architecture implements both lossless (5/3) and …

Image compression is a key technology in the development of various multimedia and
communication applications. Perfect reconstruction of the image without any loss in picture …