Convolutional neural networks (CNNs) learn filters in order to capture local correlation patterns feature space. We propose these as combinations of preset spectral defined by the Discrete Cosine Transform (DCT). Our proposed DCT-based harmonic blocks replace conventional convolutional layers produce partially or fully versions new existing CNN architectures. Using DCT energy compaction propert...

In this study, we propose an effective image fusion method which applies the Wavelet Transform algorithm to remote sensing fusion. The wavelet transform decomposes original into a series of frequency channels, so two images with distinct characteristics can be fused separately in multiple domains. By applying algorithm, get better effect than other traditional algorithms such as IHS (Intensity,...

although elzaki transform is stronger than sumudu and laplace transforms to solve the ordinary differential equations withnon-constant coefficients, but this method does not lead to finding the answer of some differential equations. in this paper, a method is introduced to find that a differential equation by elzaki transform can be ‎solved?‎