This is our latest selection of worldwide publications and patents in english on Examples of Fast Fourier Transform (FFT), between many scientific online journals, classified and focused on fast fourier, FFT, discrete fourier and Cooley–Tukey.
Applying Acoustic Signals to Monitor Hybrid Electrical Discharge-Turning with Artificial Neural Networks
Published on 2025-02-27 by Mehdi Soleymani, Mohammadjafar Hadad @MDPI
Abstract: Artificial intelligence (AI) models have demonstrated their capabilities across various fields by performing tasks that are currently handled by humans. However, the training of these models faces several limitations, such as the need for sufficient data. This study proposes the use of acoustic signals as training data as this method offers a simpler way to obtain a large dataset compared to traditional approaches. Acoustic signals contain valuable information about the process behavior. We inve[...]
Our summary: Applying Acoustic Signals for Monitoring EDT with ANN, Investigating Preprocessing Parameters, Achieving High Classification Performance
Artificial Neural Networks, Acoustic Signals, Electrical Discharge Turning, Multilabel Classifier
Publication
Doppler division multiplexing (ddm) multiple-input multiple-output (mimo) radar system and decoding method
Patent published on the 2025-02-19 in EP under Ref EP4509863 by NXP BV [NL] (Rosu Filip Alexandru [nl], Brigalda Adriana [nl], Silion Daniel [nl])
Abstract: A radar system may include transmitter modules configured to transmit multiple transmit signals in accordance with a Doppler Domain Multiplexing (DDM) scheme, receiver modules configured to receive reflections from the plurality of transmit signals reflected off an object and to generate corresponding digital signals, and a signal processor configured to generate a range-Doppler antenna cube representing the digital signals, and, for each of range bin of the cube, to generate a decoded range-Dop[...]
Our summary: Radar system with DDM and MIMO technology for signal processing and peak identification in range-Doppler antenna cube.
Doppler division multiplexing, multiple-input multiple-output, radar system, decoding method
Patent
Improved radar detection using prior tracked object information
Patent published on the 2025-02-19 in EP under Ref EP4509864 by NXP BV [NL] (Chan Lu Lu [nl], Gehrels Cornelis [nl], Sari Alp [nl], Kaneko Takeshi [nl], Paker ÖzgÜn [nl], Koppelaar Arie Geert Cornelis [nl])
Abstract: A system includes a processor and a non-transitory computer-readable medium storing machine instructions that cause the processor to perform a first fast Fourier transform (FFT) on received radar data to obtain a range-antenna data array and to perform a second FFT on the range-antenna data array to obtain a range-Doppler-antenna data cube. The processor performs peak detection on the range-Doppler-antenna data cube based on object information to obtain a subset that includes confirmed peaks and[...]
Our summary: Improved radar detection through peak detection and angle of arrival calculations using prior tracked object information for filtering candidate peaks.
radar detection, fast Fourier transform (FFT), peak detection, angle of arrival calculations
Patent
A Hybrid Dynamic Principal Component Analysis Feature Extraction Method to Identify Piston Pin Wear for Binary Classifier Modeling
Published on 2025-01-18 by Hao Yang, Yubin Zhai, Mengkun Zheng, Tan Wang, Dongliang Guo, Jianhui Liang, Xincheng Li, Xianliang Liu, Mingtao Jia, Rui Zhang @MDPI
Abstract: The wear condition of a piston pin is a main factor in determining the operational continuity and life cycle of a diesel engine; identifying its vibration feature is of paramount importance in carrying out necessary maintenance in the early wear stage. As the dynamic vibration features are susceptible to environmental disturbance during operation, an effective signal processing method is necessary to improve the accuracy and fineness of the extracted features, which is essential to build a relia[...]
Our summary: A hybrid method for identifying piston pin wear through dynamic feature extraction. An effective algorithm using DPCA, VMD, and SVD. Validation with SVM binary classifiers shows improved accuracy. A significant improvement in noise reduction and feature extraction for efficient wear identification.
dynamic principal component analysis, feature extraction, piston pin wear, binary classifier modeling, signal processing
Publication
Automatic Configuration Search for Parameter-Efficient Fine-Tuning
Published on 2024-05-25 by Han Zhou, Xingchen Wan, Ivan Vuli?, Anna Korhonen @MIT
Abstract: Large pretrained language models are widely used in downstream NLP tasks via task-specific fine-tuning, but such procedures can be costly. Recently, Parameter-Efficient Fine-Tuning (PEFT) methods have achieved strong task performance while updating much fewer parameters than full model fine-tuning (FFT). However, it is non-trivial to make informed design choices on the PEFT configurations, such as their architecture, the number of tunable parameters, and even the layers in which the PEFT modules[...]
Our summary: Efficient fine-tuning method achieved with fewer parameters. AutoPEFT uses Bayesian optimization to discover optimal configurations. Outperforms existing methods on GLUE and SuperGLUE tasks. Pareto-optimal set balances performance and cost.
automatic configuration search, parameter-efficient fine-tuning, neural architecture search, pretrained language models, task-specific fine-tuning
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