Properties of Waveforms Obtained by Nonrecursive Digital Filtering of Pseudorandom Binary Sequences
- 1 March 1971
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-20 (3) , 270-281
- https://doi.org/10.1109/t-c.1971.223231
Abstract
This paper derives and discusses statistical properties (probability density function, moments, power spectrum, and autocorrelation function) of waveforms obtained by nonrecursive digital filtering of pseudorandom linear binary sequences. This filtering may be achieved in practice by forming a weighted summation of binary digits passing along a shift register.Keywords
This publication has 16 references indexed in Scilit:
- Evaluation of the Amplitude Distribution of Quasi-Gaussian Signals Obtained From Pseudorandom NoiseIEEE Transactions on Computers, 1969
- An analysis of the pseudo-randomness properties of subsequences of longm-sequencesIEEE Transactions on Information Theory, 1968
- Generation of Pseudorandom Noise Having a Gaussian Spectral DensityIEEE Transactions on Computers, 1968
- Generation of Digital Signaling WaveformsIEEE Transactions on Communications, 1968
- Frequency transformations for digital filtersElectronics Letters, 1967
- Autocorrelation function and spectrum of a filtered, pseudorandom binary sequenceProceedings of the Institution of Electrical Engineers, 1967
- Correlation Analyses of Linearly Processed Pseudo-Random SequencesIEEE Transactions on Communications, 1966
- Some Results of Amplitude Distribution Experiments on Shift Register Generated Pseudo-Random NoiseIEEE Transactions on Electronic Computers, 1966
- Statistical properties of smoothed maximal-length linear binary sequencesProceedings of the Institution of Electrical Engineers, 1966
- Delayed versions of maximal-length linear binary sequencesElectronics Letters, 1965