Comparisons of system identification methods in the presence of high noise levels and bandlimited inputs

In this paper we investigate the performance of three well of the simulation study was to measure the linear system estimation known system identification methods based on an FIR (finite error as a function of N, the signal duration, M, the impulse impulse response) model of the system. The methods will be response duration, s/n the signal-to-noise ratio of the system, and referred to in this paper as the least squares analysis (LSA) method, the input signal characteristics. the least mean squares adaptation algorithm (LMS) and the short-e (n) time spectral analysis (SSA) procedure. Our particular interest in this paper concerns the performance of these algorithms in the pres _____________ ence of high noise levels and in situations where the input signal is