Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The multiplication of constants by a data input is an essential operation in digital signal processing (DSP) systems. For applications requiring a large number of constant multiplications under stringent hardware constraints, it is generally realized under a folded architecture, where a single constant selected from a set of multiple constants is multiplied by the data input at each time, called time-multiplexed constant multiplication (TMCM).  addresses the problem of optimizing the complexity of a TMCM design and introduces an algorithm that finds the least complex TMCM design by sharing the logic operators, i.e., adders, subtractors, adders/subtractors, and multiplexors (MUXes). It includes efficient search methods, yielding better results than existing TMCM algorithms.
['Levent Aksoy', 'Paulo F. Flores', 'José C. Monteiro']
I am writing a research paper on a idea Optimization of design complexity in time-multiplexed constant multiplications
[{"from": "human", "value": "I am writing a research paper on a idea Optimization of design complexity in time-multiplexed constant multiplications"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The multiplication of constants by a data input is an essential operation in digital signal processing (DSP) systems. For applications requiring a large number of constant multiplications under stringent hardware constraints, it is generally realized under a folded architecture, where a single constant selected from a set of multiple constants is multiplied by the data input at each time, called time-multiplexed constant multiplication (TMCM).  addresses the problem of optimizing the complexity of a TMCM design and introduces an algorithm that finds the least complex TMCM design by sharing the logic operators, i.e., adders, subtractors, adders/subtractors, and multiplexors (MUXes). It includes efficient search methods, yielding better results than existing TMCM algorithms."}]