Design of Energy Efficient and Size Reduced Scram Cell
Journal Title: IOSR journal of VLSI and Signal Processing - Year 2018, Vol 8, Issue 3
Abstract
Semiconductor memories are a vital component of essentially any state of the art digital circuits. One among them is the Static Random Access Memory (SRAM). The dynamic power consumption contributes to about 80% of the total power consumption. In this paper a novel 4T asymmetric SRAM Cell is proposed which has reduced the dynamic power consumption by 98.58% and area occupied by 30.86% when compared to one of the existing 4T SRAM Cells. This cell is designed using 45nm technology.
Authors and Affiliations
Sanjay G1 ,, Shruthi J1 ,, Suraj N. K1 ,, Roopa K Swamy1
Keywords
Related Articles
- EP ID EP412839
- DOI -
- Views 192
- Downloads 0
A Study onFace Detection and Image Steganographyusing Discrete Wavelet Transform
There are many methods available for secret data hiding and transfer, among which steganography stands out in various aspects. Steganography is used for secret data transfer in a cover object which may be an image, video...
Analysis of the Performance of Classifiers on Wavelet Features with PCA and GA for the Detection of Breast Cancer in Ultrasound Images
Breast cancer is the most commonly diagnosed life threatening cancer in women worldwide. Breast cancer is the leading cause of cancer death among women. Early detection is of great significance and essential to the treat...
Retime Low Power Approximate Multiplier for Image Sharpening and Smoothing`
In DSP systems, due to demand in the higher computational performance in the architecture’s is increasing the complexity. In order to enhance the performance, the approximate arithmetic circuits are designed with small e...
A Hybrid Approach for MRI Based Statistical Feature Extraction to Detect Brain Tumor
Undesired abnormal growth of cells in the brain is a serious neurological problem which is known as brain tumor. Early detection and diagnosis of tumor from an MRI image is a primary task. It is tedious and time consumin...
Support Vector Machine Classification of Stress Types in Speech
Speech of human beings is the reflection of the state of mind. Proper evaluation of these speech signals into stress types is necessary in order to ensure that the person is in a healthy state of mind. In this work we pr...