Frequency Stability Analysis of 9-stage Ring Oscillator in CMOS 45nm Technology using Cadence Tool
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 11
Abstract
This proposed paper focuses on design and analysis of a nine stage Ring Oscillator in terms of frequency stability. For a ring oscillator, accuracy is very important. A 9-stage ring oscillator is designed and simulated using 45nm CMOS process technology. The input control voltage is varied from 0.5V to 1V to examine the frequency stability and power consumption of the circuit. The measured output frequency is 2.384 GHz and output power of 0.223µW. Index Terms: CMOS, Oscillator, frequency stability, Cadence Tool
Authors and Affiliations
N Sandeep, P Sramika Reddy
Keywords
Related Articles
- EP ID EP392843
- DOI 10.9790/9622-0711040710.
- Views 74
- Downloads 0
Synthesis and Characterization of Ni SmxFe2-xO 4 Nano-Ferrites by auto combustion method
Ni-Sm Nano ferrites with chemical formula NiSmxFe2-xo4 (x=0.00, 0.010, 0.030, 0.050, 0.070, 0.090 and 0.10) were synthesized by the citrate-gel auto combustion method. Synthesized powders are sintered at 5000C for four h...
A Modular Instant Messaging System
Instant Messaging (IM) Android applications are a trend nowadays. These applications are categorized according to their features: usability, flexibility, privacy and security. However, IM applications tend to be inflexib...
A Hybrid Medical Image Fusion Based on Undecimated and Complex Wavelet Transforms
Image fusion is the process of merging different information from multiple images to obtain a single composite fused image. The fused image contains the most relevant information from source images. In this paper, a hybr...
A Survey on Crime Data Analysis Using Data Mining Techniques
In modern era, as the technology develops to a greater extent, the crime rates are increasing to a very vast level not only in India but also in major countries which possess a mighty threat to humans. So therefore these...
Effective Lung Cancer Cell Detection using Deep Convolutional Neural Networks
With oncologists relying increasingly on low-dose CT scans to detect lung cancer, our study proposes a machine learning approach for early detection of Lung Cancer. While existing algorithms in the medical imaging domain...