Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Linear prediction models with their poles restricted to the unit circle can be efficiently determined by using the Levinson or the split-Levinson algorithm. A simple proof of this property is presented. The prime application of linear prediction models constrained to have unit-modulus poles is the estimation of sinusoidal frequencies. The consistency properties of the corresponding frequency estimates are analyzed. It is shown that in the presence of noise, the estimates are inconsistent; an explicit expression for the asymptotic bias is provided. >
['Petre Stoica', 'Arye Nehorai']
I am writing a research paper on a idea On linear prediction models constrained to have unit-modulus poles and their use for sinusoidal frequency estimation
[{"from": "human", "value": "I am writing a research paper on a idea On linear prediction models constrained to have unit-modulus poles and their use for sinusoidal frequency estimation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Linear prediction models with their poles restricted to the unit circle can be efficiently determined by using the Levinson or the split-Levinson algorithm. A simple proof of this property is presented. The prime application of linear prediction models constrained to have unit-modulus poles is the estimation of sinusoidal frequencies. The consistency properties of the corresponding frequency estimates are analyzed. It is shown that in the presence of noise, the estimates are inconsistent; an explicit expression for the asymptotic bias is provided. >"}]