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Signal to Noise Ratio and Spectral Sampling Constraints on Olivine Detection and Compositional Determination in the Intermediate Infrared Region: Applications in Planetary Sciences.

• Authors : Pérez‐López, S. A.¹ ; Kremer, C. H.²; Mustard, J. F.¹

• Source: Earth & Space Science. Aug2024, Vol. 11 Issue 8, p1-17. 17p.

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Development of an Imaging Spectrometer with a High Signal-to-Noise Ratio Based on High Energy Transmission Efficiency for Soil Organic Matter Detection.

• Authors : Fan, Jize^1,2 (AUTHOR) ; Wang, Yuwei¹ (AUTHOR); Gu, Guochao¹ (AUTHOR)

• Source: Sensors (14248220). Jul2024, Vol. 24 Issue 13, p4385. 20p.

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DiffPhys: Enhancing Signal-to-Noise Ratio in Remote Photoplethysmography Signal Using a Diffusion Model Approach.

• Authors : Chen, Shutao¹ ; Wong, Kwan-Long¹ ; Chin, Jing-Wei¹

• Source: Bioengineering (Basel). Aug2024, Vol. 11 Issue 8, p743. 16p.

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Improving the Signal-to-Noise Ratio of Axial Displacement Measurements of Microspheres Based on Compound Digital Holography Microscopy Combined with the Reconstruction Centering Method.

• Authors : Zeng, Yanan^1,2 (AUTHOR) ; Guo, Qihang¹ (AUTHOR); Hu, Xiaodong² (AUTHOR)

• Source: Sensors (14248220). May2024, Vol. 24 Issue 9, p2723. 15p.

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Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions.

• Authors : Jing, Zehuan¹ (AUTHOR) ; Li, Peng¹ (AUTHOR) ; Wu, Bin¹ (AUTHOR)

• Source: Remote Sensing. Apr2024, Vol. 16 Issue 8, p1332. 23p.

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The Noise Reduction Algorithm May Not Compensate for the Degradation in Output Signal-to-Noise Ratio Caused by Wide Dynamic Range Compression.

• Authors : Yun D; Department of Speech, Language and Hearing Sciences, Indiana University Bloomington.; Lentz J

Subjects: Hearing Aids* ; Algorithms* ; Signal-To-Noise Ratio*

• Source: American journal of audiology [Am J Audiol] 2024 Sep 03; Vol. 33 (3), pp. 793-809. Date of Electronic Publication: 2024 Jun 14.Publisher: American Speech-Language-Hearing Association Country of Publication: United States NLM ID: 9114917 Publication Model: Print-Electronic Cited

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Application of Artificial Neural Networks for Prediction of Received Signal Strength Indication and Signal-to-Noise Ratio in Amazonian Wooded Environments.

• Authors : Barbosa, Brenda S. de S.¹ (AUTHOR) ; Cruz, Hugo A. O.¹ (AUTHOR) ; Macedo, Alex S.¹ (AUTHOR)

• Source: Sensors (14248220). Apr2024, Vol. 24 Issue 8, p2542. 24p.

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High-Quality Radar Pulse Signal Acquisition and Deinterleaving under a Low Signal-to-Noise Ratio with Multi-Layer Particle Swarm Optimization.

• Authors : Wei, Song^1,2 (AUTHOR) ; Fang, Yuyuan¹ (AUTHOR) ; He, Chao¹ (AUTHOR)

• Source: Remote Sensing. Feb2024, Vol. 16 Issue 3, p537. 20p.

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A small footprint travelling-wave parametric amplifier with a high Signal-to-Noise Ratio improvement in a wide band

• Authors : Nilsson, Hampus Renberg; Chen, Liangyu; Tancredi, Giovanna

Subjects: Physics - Applied Physics; Quantum Physics

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Quantifying Signal-to-Noise Ratio in Neural Latent Trajectories via Fisher Information

• Authors : Jeon, Hyungju; Park, Il Memming

Subjects: Quantitative Biology - Neurons and Cognition; Statistics - Applications

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