In this video, we will understand what is Convolution Operation in CNN. Convolution Operation is the heart of Convolutional Neural Network. It is responsible for detecting the edges or features of the ...
Abstract: We propose reparameterized refocusing convolution (RefConv) as a replacement for regular convolutional layers, which is a plug-and-play module to improve the performance without any ...
A moving-average filter can address white noise in the time domain but performs poorly in the frequency domain. Figure 1. The convolution engine calculates y(tn) for n=6 (a) and then goes on to ...
Convolution is used in a variety of signal-processing applications, including time-domain-waveform filtering. In a recent series on the inverse fast Fourier transform (FFT), we concluded with a ...
Event-based cameras are bio-inspired vision sensors that mimic the sparse and asynchronous activation of the animal retina, offering advantages such as low latency and low computational load in ...
Dynamic Strip Convolution and Adaptive Morphology Perception Plugin for Medical Anatomy Segmentation
Abstract: Medical anatomy segmentation is essential for computer-aided diagnosis and lesion localization in medical images. For example, segmenting individual ribs benefits localizing the lung lesions ...
MATLAB-based Digital Signal Processing Laboratory with examples of convolution, DFT, FIR filtering, and more. Each folder includes code and individual README files for theoretical explanations.
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