الفهرس 
ERRORS IN ESTIMATION OF DIFFERENT PARAMETERS ---------------------------Only 14 pages are availabe for public view
 |  | from | 156 |  |  |
| | | from | 156 | | |
Abstract
The measure~ent of spectral density of signals is
subjected to random and bias errors • The truncation of
data is a source of bias errors which must be considered
carefully when making ~easurements •
The thesis contains a review of types of errors
encountered in spectrum measurement, and the different data
windows used • The effect of data windo·11 choice is investigated
and it was found that the proper choice of data ’llinc’.o·;r
depends on the shape of the SJe::tru:n of the si(P.’lal to be
e1easured •
Different ’llindo·;:s were tested using dif£’ere!1t types
of signals • The rectan(r-<lar window ·>~as found to be sui t3-
ble for measuring spectrn of periodic signals while the
Ha~~ing window was found to be suitable for measuring smooth
spect..,-a.· •
A dual - channel spectrum analyzer •lfhich consists of
two parallel cha.nnels is proposed One channel having a
HaMming window suitable for measuring smooth spectr~~s and
the other having rectang’c~lar window sui table for measuring
spectra’ with impulses • It is shoW!’! that the measured spectrwn has less bias error than that obtained by usi~’S
conventional single channel spectr’xn an .1lyzer having r ”ct:a!’.gular
or Harr~ing wincow separately • Moreover no deep ~owlecge
is required to make th2 proper ch0ice of the data ·rindo’ll
suitable to the signal, as it is the case in singl~ ch~~nel
spectrum anal::,”zer but it is done automatically using the
proposed dual-channel spectrum analyzer • The dual - ch~~el
spectrum analyzer has been simulated using digital computer
and satisfactory results were obtained