We present in this paper on how we can replace the multipliers with basic operations like shifting and addition in the linear convolution method considering ease of implementation, making it ideal for ...

The convolution is performed using the method of cumulants [36] [37]. The tail of the distribution of the combined random variable determines the extreme behaviour of the combined distributions, and ...

From our graphical interpretation method for the convolution integral, the maximum response occurs when the area under h (t) f (t-t) is a maximum. Viewing the animation below of the convolution ...

Dilated convolution is a well-known technique used in neural networks algorithms in AI/ML applications to increase receptive-field under analysis. Dilated convolution layer has an inherent property of ...