But in an experiment such as Racker-Stoeckenius, there is no objective error frequency.
In a formal Neyman-Pearson test it can be argued that judgments about error probabilities reflect objective error frequencies.
Obviously, the objective error function for a delay-oriented approximation can be represented by (22).
For a given weighting function, an iterative method is used to minimize the objective error function in the inner iterations.
The stability of the designed VFO IIR differintegrator is achieved by incorporating a constrained function into the objective error function.
The NMF model allocated an insignificant value 0.015 for endmembers 3 and 4 so that it can reduce the overall objective error of the optimization function.
Hence, the root-mean-squared objective error function for WLS design of an allpass VFD digital filter can be represented by (16).
The competing wavelet 9/7 filter bank, which has 4/4 zeros at, is thus judged inferior both in terms of objective error measurements and informal visual inspections.
The objective error function is formulated in a quadratic form, such that the filter coefficients can be obtained by proper matrix/vector operation, including matrix inversion.
But the minimization of the original objective error function is a highly nonlinear problem, so an iterative quadratic method is proposed to overcome it.
