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| Paper Type | : | Research Paper |
| Title | : | Qualitative Analysis Of Fourier Infrared Spectroscopy Based On The EMD Algorithm |
| Country | : | China |
| Authors | : | HU Yi-Ge || YU Bo || Sui Feng || YAO Zhi-Wen || Li Wen-Bo |
 |
: | 10.9790/4200-15020109  |
ABSTRACT: In recent years, the application of Fourier infrared spectroscopy has become increasingly widespread. However, there is still room for improvement in its qualitative analysis for substance identification. Therefore, this paper proposes an infrared spectroscopy qualitative analysis method based on the Empirical Mode Decomposition (EMD) algorithm. The EMD algorithm is used to denoise the data, cubic spline interpolation is applied for baseline correction, and the.....
Key Word: Fourier Infrared Spectroscopy; Substance Identification; EMD Algorithm; Baseline Correction; Cubic Spline Interpolation.
[1]. CEHN Ya, JIANG Bin, ZENG Yuan-Er. Application Of Infrared Spectroscopy In The Identification Of Traditional Chinese
Medicine[J]. Journal Of Guangzhou University Of Traditional Chinese Medicine (In Chinese), 2004, 21(3): 237-240.
[2]. LI Yan, WU Ran-Ran, YU Bai-Hua, Et Al. A Review On Applications Of Infrared Spectroscopy To The Study Of Traditional Chinese
Medicine [J]. Spectroscopy And Spectral Analysis (In Chinese), 2006, (10):1846-1849.
[3]. DU Xiao-Wei, SONG Ping-Shun, NI Lin. Based On FT-IR Research On The Rapid Identification Method Of The Origin Of
Traditional Chinese Medicine Codonopsis [J/OL]. Chinese Archives Of Traditional Chinese Medicine (In Chinese), 2024.
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| Paper Type | : | Research Paper |
| Title | : | Energy-Efficient High-Accuracy Approximate Multiplier Utilizing Higher-Order Compressors |
| Country | : | India |
| Authors | : | Dustakar Surendra Rao || Thota Bharathkumar || Santhoshapu Anil Reddy || Sura Shivanadh |
|
: | 10.9790/4200-15021016 |
ABSTRACT:People are interested in approximate computing to make low-power, high-performance computers, which is in response to the growing need for computers that use less energy [2, 3]. A lot of different tasks need multipliers, like machine learning, image processing, and digital signal processing (DSP) [6, 8]. This work introduces an innovative approximation multiplier that optimises power efficiency and accuracy through the integration of higher-order compressors [9, 10]. These compressors reduce the amount of space needed, the amount of power used, and the time it takes to process data while keeping the required level of accuracy [5, 7]. To improve efficiency, we substitute the......
Key Word: Approximate Computing, Low-Power Multiplier, Higher-Order Compressors, Carry Look-Ahead Adder (CLA), Xilinx Vivado Simulation
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