DIGITAL FILTERS FOR DATA PROCESSING,
Abstract
The notions of frequency domain and transfer function have proved to be very useful in the understanding and in the design of digital filters for use in data processing. Preliminary results have been reported in TIS 57SD340. Investigations carried out by the author since that time are summarized here. General methods for designing a variety of filters of specified transfer functions were developed. Performance of several classical methods (Fourier analysis, least square polynomial fit, Lagrange interpolation formula) applied to sampled data was evaluated. Various types of filters, low-pass filters, differentiators, interpolation filters and filters for spectral analysis are analyzed in successive chapters. The last chapter is devoted to a discussion of some of the uses of these filters in data processing, as well as of the precautions to take and limitations to expect. A brief description of the min-max technique, which permits to obtain linear combinations of specified functions to approximate in the Chebyshev sense some specified real or complex functions, is given in the Appendix. (Author)
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 1962
- Accession Number
- AD0614033
Entities
People
- Marcel A. Martin
Organizations
- General Electric