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Digital filters and signal processing
1 Introduction: Terminology and Motivation.- 2 Discrete-Time Signals and Systems.- 2.0 Introduction.- 2.1 Discrete-Time Signals, or Sequences.- 2.2 Discrete-Time Systems and Filters.- 2.3 StabilityExpand
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On the interaction of roundoff noise and dynamic range in digital filters
  • L. Jackson
  • Mathematics, Computer Science
  • Bell Syst. Tech. J.
  • 1 February 1970
TLDR
The interaction between the roundoff-noise output from a digital filter and the associated dynamic-range limitations is investigated for the case of uncorrelated rounding errors from sample to sample and from one error source to another. Expand
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Linear prediction in cascade form
The autocorrelation and covariance methods of linear prediction are formulated in terms of an inverse digital filter in cascade form, rather than the traditional direct form, to allow pole locationsExpand
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An approach to the implementation of digital filters
TLDR
An approach to the implementation of digital filters is presented that employs a small set of relatively simple digital circuits in a highly regular and modular configuration, well suited to LSI construction. Expand
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  • PDF
Frequency and bearing estimation by two-dimensional linear prediction
TLDR
Simultaneous frequency and bearing estimation using 2-D spectral analysis of the space-time data array is investigated. Expand
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An improved Martinet/Parks algorithm for IIR design with unequal numbers of poles and zeros
  • L. Jackson
  • Mathematics, Computer Science
  • IEEE Trans. Signal Process.
  • 1 May 1994
TLDR
The Martinet/Parks algorithm for equiripple IIR filters with unequal numbers of poles and zeros has been modified to converge for a wider range of designs, including an important extraripple case. Expand
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Frequency-domain Steiglitz-McBride method for least-squares IIR filter design, ARMA modeling, and periodogram smoothing
  • L. Jackson
  • Mathematics, Computer Science
  • IEEE Signal Processing Letters
  • 4 January 2008
TLDR
The classic Steiglitz-McBride (mode-1) time-domain algorithm is reformulated in the frequency domain to allow the direct least-squares approximation of either complex-valued or magnitude-only frequency responses, as well as power-density spectra, including periodograms. Expand
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Roundoff noise bounds derived from coefficient sensitivities for digital filters
The sensitivities of the transfer function of a digital filter with respect to its coefficients are utilized to derive lower bounds on the roundoff noise output in the cases of L_{\infty} andExpand
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On the relationship between digital Hilbert transformers and certain low-pass filters
Designs of symmetric Hilbert transformers are shown to be easily derived from corresponding designs for symmetric half-band low-pass filters, and vice versa. The latter filter type is particularlyExpand
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Signals, systems, and transforms
(NOTE: Each chapter begins with an Introduction and ends with a Summary and Problems). 1. Overview of Signals and Systems. Signals. Systems. 2. Continuous-Time and Discrete-Time Signals. PART AExpand
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