Showing papers by "Kenneth Steiglitz published in 1964"
TL;DR: The derivation of the estimates assumes that the power spectrum has no zeros, and is based on well-known results in the theory of autoregressive schemes, and can be easily implemented by a digital computer for use in an adaptive loop.
Abstract: This paper describes a method for identifying the parameters of a class of power spectra. In contrast to conventional methods of spectral analysis, the method assumes a particular form for the power spectrum and gives direct estimates of unknown parameters. Thus the method is faster than ordinary spectral analysis and can be easily implemented by a digital computer for use in an adaptive loop. The derivation of the estimates assumes that the power spectrum has no zeros, and is based on well-known results in the theory of autoregressive schemes. Some ways of extending the results to the case where zeros are present in the spectrum are suggested. The method can also be used as a prewhitening technique in conjunction with ordinary spectral analysis.
16 citations
01 Oct 1964
TL;DR: In this paper, an adaptive digital matched filter structure is developed for the case where the input signal is of known form and finite duration and the input noise has a power spectral density which is all-pole.
Abstract: An adaptive digital matched filter structure is developed for the case where the input signal is of known form and finite duration and the input noise has a power spectral density which is all-pole The effect of noise spectrum identification errors on system performance is investigated both theoretically and experimentally It is shown that, when the noise is highly correlated, the adapting structure leads to significant improvement in the output signal-to-noise ratio (and hence in the detection characteristics) with relatively short measurement times This suggests the use of switching logic to allow noise adaptation only when measurements indicate a highly correlated noise background
3 citations