Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a multiplier por reduction technique for low-por DSP applications through utilization of coefficient optimization. The optimization is implementation dependent in that the multipliers are assumed to be designed in either ASIC or full-custom architectures for general purpose multiplication. The paper first describes a model characterizing the por consumption of the multiplier. Then the coefficient optimized made based on this model. This methodology is applicable to multiplications requiring a large set of coefficients and random data sets.  can accurately estimate the actual por dissipation of the multipliers using the characterization technique. The coefficient optimization based on the por model can save as much as 34.02%.
['Sangjin Hong', 'Shu-Shin Chin', 'Suhwan Kim', 'Wei Hwang']
I am writing a research paper on a idea Power Reduction Technique in Coefficient Multiplications Through Multiplier Characterization
[{"from": "human", "value": "I am writing a research paper on a idea Power Reduction Technique in Coefficient Multiplications Through Multiplier Characterization"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a multiplier por reduction technique for low-por DSP applications through utilization of coefficient optimization. The optimization is implementation dependent in that the multipliers are assumed to be designed in either ASIC or full-custom architectures for general purpose multiplication. The paper first describes a model characterizing the por consumption of the multiplier. Then the coefficient optimized made based on this model. This methodology is applicable to multiplications requiring a large set of coefficients and random data sets.  can accurately estimate the actual por dissipation of the multipliers using the characterization technique. The coefficient optimization based on the por model can save as much as 34.02%."}]