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Approximate computation of DFT without performing any multiplications: Application to radar signal processing.

, , , , and . SIU, page 850-853. IEEE, (2014)

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Separating nut-shell pieces from hazelnuts and pistachio kernels using impact vibration analysis., , , and . SIU, page 1-4. IEEE, (2013)Bandwidth selection for kernel density estimation using Fourier domain constraints., , and . IET Signal Process., 10 (3): 280-283 (2016)A novel asymmetrical autoencoder with a sparsifying discrete cosine Stockwell transform layer for gearbox sensor data compression., , , , , and . CoRR, (2023)DCT Perceptron Layer: A Transform Domain Approach for Convolution Layer., , , and . CoRR, (2022)Normalized Stochastic Gradient Descent Training of Deep Neural Networks., , and . CoRR, (2022)Hybrid Binary Neural Networks: A Tutorial Review., and . VTS, page 1-12. IEEE, (2023)Multiplication-Avoiding Variant of Power Iteration with Applications., , , , and . ICASSP, page 5608-5612. IEEE, (2022)Classification of the Cervical Vertebrae Maturation (CVM) Stages Using the Tripod Network., , , , , , and . ICASSP, page 1-5. IEEE, (2023)A Collaborative Fusion of Vision Transformers and Convolutional Neural Networks in Classifying Cervical Vertebrae Maturation Stages., , , , , , and . ICECS, page 1-4. IEEE, (2023)Towards Co-designing Neural Network Function Approximators with In-SRAM Computing., , , , and . EMC2@NeurIPS, page 40-43. IEEE, (2019)