The Efficiency of a Wavelet Transformation Approach to Prospective Monitoring

2013 ◽  
Vol 31 (3) ◽  
pp. 489-500
Author(s):  
Robert M. Steward ◽  
Steven E. Rigdon
Keyword(s):  
Wavelet Transformation ◽  
Transformation Approach ◽  
Prospective Monitoring

scholarly journals The Capacity of the Hybridizing Wavelet Transformation Approach With Data-Driven Models for Modeling Monthly-Scale Streamflow

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 101993-102006 ◽  
Author(s):  
Sinan Jasim Hadi ◽  
Mustafa Tombul ◽  
Sinan Q. Salih ◽  
Nadhir Al-Ansari ◽  
Zaher Mundher Yaseen
Keyword(s):  
Wavelet Transformation ◽  
Data Driven ◽  
Monthly Scale ◽  
Transformation Approach

A wavelet transformation approach for multi-source gravity fusion: Applications and uncertainty tests

2016 ◽  
Vol 128 ◽  
pp. 18-30 ◽  
Author(s):  
Yongliang Bai ◽  
Dongdong Dong ◽  
Shiguo Wu ◽  
Zhan Liu ◽  
Guangxu Zhang ◽  
...  
Keyword(s):  
Wavelet Transformation ◽  
Transformation Approach ◽  
Fusion Applications

Understanding the Relationship between Inflation and Growth: A Wavelet Transformation Approach in the Case of Bangladesh

World Economy ◽  
2016 ◽  
Vol 40 (9) ◽  
pp. 1918-1933 ◽  
Author(s):  
Gazi Salah Uddin ◽  
Ahmed Taneem Muzaffar ◽  
Mohamed Arouri ◽  
Bo Sjö
Keyword(s):  
Wavelet Transformation ◽  
Transformation Approach ◽  
The Relationship

Wavelet Transformation Approach to Identify Several Fluctuation Patterns by Applying The Amplitude Representative Value Scheme

2021 ◽  
Author(s):  
Melinda Melinda ◽  
Alfatirta Mufti ◽  
Yudha Nurdin ◽  
Yunidar Yunidar ◽  
Zaky Naufal ◽  
...  
Keyword(s):  
Wavelet Transformation ◽  
Transformation Approach

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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