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 devices and consumes less energy. Out of different transformation techniques, the most famous and dominant architecture is the discrete wavelet transform. The discrete wavelet transform design optimization has done on power and leakage current reduction. New adders are proposed which are based on power gating and reversible logic. It is shown that the proposed adders reduce the dynamic power by about 30%. The proposed design in 45 nm and 32 nm CMOS technology is efficient when compared to other methods
This paper reviews the newly published works on applying waves to image processing depending on the ...
Abstract – This paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet transf...
Wavelet transform is a transform which provides both the time and frequency information simultaneous...
In this paper, we develop a new method for the analysis of signal and image data using Discrete Wave...
This paper presents a flexible hardware architecture for performing the Discrete Wavelet Transform (...
The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in sev...
Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has re...
The purpose of this paper is to present a comparative analysis of hardware design of the Discrete Wa...
Abstract — Image compression has got applications in many fields like digital video, video conferenc...
This paper presents low power Discrete Wavelet Transform DWT architecture, comprising of forward and...
Conference PaperThis paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet t...
In this thesis, we present a new simple and efficient VLSI architecture (DWT-SA) for computing the D...
This paper presents two architectures for 2-D discrete wavelet transform (DWT) and inverse DWT (IDWT...
The most common technique used for image processing applications is ‘The wavelet transformation’. Th...
This paper addresses the problem of processing biological data, such as cardiac beats in the audio a...
This paper reviews the newly published works on applying waves to image processing depending on the ...
Abstract – This paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet transf...
Wavelet transform is a transform which provides both the time and frequency information simultaneous...
In this paper, we develop a new method for the analysis of signal and image data using Discrete Wave...
This paper presents a flexible hardware architecture for performing the Discrete Wavelet Transform (...
The discrete wavelet transform (DWT) algorithms have a firm position in processing of signals in sev...
Due to its inherent time-scale locality characteristics, the discrete wavelet transform (DWT) has re...
The purpose of this paper is to present a comparative analysis of hardware design of the Discrete Wa...
Abstract — Image compression has got applications in many fields like digital video, video conferenc...
This paper presents low power Discrete Wavelet Transform DWT architecture, comprising of forward and...
Conference PaperThis paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet t...
In this thesis, we present a new simple and efficient VLSI architecture (DWT-SA) for computing the D...
This paper presents two architectures for 2-D discrete wavelet transform (DWT) and inverse DWT (IDWT...
The most common technique used for image processing applications is ‘The wavelet transformation’. Th...
This paper addresses the problem of processing biological data, such as cardiac beats in the audio a...
This paper reviews the newly published works on applying waves to image processing depending on the ...
Abstract – This paper proposes a novel VLSI architecture to compute the DWT (discrete wavelet transf...
Wavelet transform is a transform which provides both the time and frequency information simultaneous...