Essays about: "convolution"
Showing result 16 - 20 of 127 essays containing the word convolution.
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16. An operator theoretic approach to the Riemann Hypothesis
University essay from Lunds universitet/Matematik (naturvetenskapliga fakulteten); Lunds universitet/MatematikcentrumAbstract : In 2023 an operator theoretic approach to the Prime Number Theorem was introduced by Olsen. In this thesis this approach is examined and applied to give a new, operator theoretic, proof of a different version of the Prime Number Theorem and of the Prime Number Theorem for arithmetic progressions. READ MORE
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17. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools
University essay from KTH/Matematisk statistikAbstract : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. READ MORE
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18. Can a Dry Recording Treated with a Convolution Reverb in a Surround Sound Speaker System be Perceived as Maintaining the Same Degree of Naturalness as Real Recorded Reverberation?
University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleAbstract : When recording classical instruments, access to a physical space of acoustic properties associated with classical music might not always be available. This study seeks to investigate if classical music recorded in an environment with a short reverberation time can be treated with an impulse response from a concert hall and still maintain the same sense of naturalness. READ MORE
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19. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE
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20. Enhancement-basedSmall TargetDetection for InfraredImages
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Infrared small target detection is widely used in fields such as military and security. UNet, which is a classical semantic segmentation method proposed in 2015, has shown excellent performance and robustness. However, U-Net suffers from the problem of losing small targets in deep layers after multiple down-sampling operations. READ MORE