A Suitable Hardware Realization for the Cohen Class Distributions

A multidistribution hardware for the realization of the Cohen class distributions is proposed. This approach is based on the modified form of kernel function that is computationally efficient and suitable for real-time implementation. The proposed solution includes various kernels based on the exponential and sine function, with the possibility of choosing different kernel parameters. The proposed architecture is implemented using the field-programmable gate array and can be used in high-speed real-time applications.

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