A New Method of Subsurface Imaging—The LASI High Frequency Ellipticity System: Part 2. Data Processing and Interpretation

1999 ◽  
Vol 4 (4) ◽  
pp. 215-226
Author(s):  
Ben K. Sternberg ◽  
Scott J. Thomas ◽  
Ralf A. Birken
2021 ◽  
Vol 23 (06) ◽  
pp. 784-793
Author(s):  
Kiran Guruprasad Shetty P S ◽  
◽  
Dr. Ravish Aradhya H V ◽  

Power estimation is a very prominent aspect in micro controllers which aims to to be more efficient in terms of power. A new method of estimation of power based on the execution of instruction in AURIX, which is an automotive micro- controller is proposed. The main aim of this method is to estimate the power in perspective of program(software) or instruction level which is constantly processed in microprocessor which is more accurate when compared with the previous methodologies. The estimation is done based on some set of instructions which is used in AURIX for Data transfer/storing in to memories, Data processing and Data Execution for various application. Most of the previous methodologies are all not accurate due to the abstraction levels.


2018 ◽  
Vol 20 (1) ◽  
pp. 651-661
Author(s):  
Gintare Linkeviciute ◽  
Renaldas Raisutis ◽  
Kristina Sakalauskiene ◽  
Jurgita Makstiene ◽  
Jonas Guzaitis ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
pp. 16
Author(s):  
Ilaria Lucrezia Amerise ◽  
Agostino Tarsitano

The objective of this research is to develop a fast, simple method for detecting and replacing extreme spikes in high-frequency time series data. The method primarily consists  of a nonparametric procedure that pursues a balance between fidelity to observed data and smoothness. Furthermore, through examination of the absolute difference between original and smoothed values, the technique is also able to detect and, where necessary, replace outliers with less extreme data. Unlike other filtering procedures found in the literature, our method does not require a model to be specified for the data. Additionally, the filter makes only a single pass through the time series. Experiments  show that the new method can be validly used as a data preparation tool to ensure that time series modeling is supported by clean data, particularly in a complex context such as one with high-frequency data.


2002 ◽  
Vol 95 (1) ◽  
pp. 29-32 ◽  
Author(s):  
Yiming Chen ◽  
Haiyan Zhang ◽  
Yanjuan Zhu ◽  
Ding Yu ◽  
Zhenfang Tang ◽  
...  

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