Text extracted via OCR from the original document. May contain errors from the scanning process.
Approved For Release 2005/1121 : CIA-RDPT8.03676A000100010014-5
© mApLEg
Initial Poll Results
TABLE II
Educational Background of Respondents
Attachment 3
Approved For Release 2005/1121 : CIA-RDPT8.03676A000100010014-5
FASE goss .
Hho course RGERGRG Por Reese 00S HIE CIR REPTESSFERH0b0t0014.5 .
I Vectorinl Representetion of Variables: mabwdx formats;
menipulabions; vocloriol products; orthogonality;
independence; Fourier Sowics; Laplace representation;
convolution; Walsh Functions.
ho intent hero wes to Gevelop 6 basq commanicetions in
tho course, bo sob tho emmbexlt of terminology and to
introduce the sequence to a group which hed indicated
whrength in the Gopical drea, Applications were treated,
homework solubiong end several representabive jowenal
roprints were distributed whrough the month, between
nating sessions.
£% Jdnear System Variablos: convolution; Laplace manipulations)
applications to Lincar differential equations: Qewhing
considerations; impulse rosponsces systen flow diagrang
2 Pransforne; Sampling; numerical methods: Gauss! elimination,
matrix inves sion.
ho goal hore was to backtrack into the provious sosslon,
held « month previously and to apply tho carlicr Govelopod
Tools to simple Linear systems, Some linearization schemes
woro rationalized; semple applications were treated in
class to verging Cepths, generally on a doberministic
basis,
WEL Probebility and Statistics: concopts of diseroto and conte.
inuous voriablos; semplc space; union; intersections independ
once; definitions; density function; distribution function
expectancy operator; moments; coniidonce Limits.
It vas hoped hore to dovelop tools for Grcating probabilistic
problens, The attempt was to tie in the discroto abstract
veriable to several physicel situations, Applications
were framed to reprab Whe use of material of the scosions.
AV Stochastic Processes: .stabionary processes; approximations
to Guussiang filtering and averaging; correlation; convolution;
crossncorrelation; covarience mati power spectral ostimabos;
band Liniting offocts,
he intent in this session was to relate single continuous
variables to the array of tools available to handle generalized
data bases, Points of relevance were made to tio in the
proceeding sessions to space-time variables found in a nuabor
of disciplines, Jxperimental date was developed in handouts
and related to Alfferent distributions for signal and noise.
te
Approved For Release 2005/11/21 : CIA-RDP78.03576A000100010014-5
Approved For Release 2005/11/21 : CIA-RDP78-03576A000100010014-5
X Servomochanisn Subsybems: Linear models; closed loop and
open loop rosponso; root locus; Bode and Nyquish oiverias
optimal. control; comron non-linearitios; phase-plene appiach,
This vas an area shown strong on tho initial poll. The
intent hore was to give a gonorally deterministic treatment
So tuis comion subsystom. Wiener Hopf and Kelman filtering
wove troatod,
Xoo Modulation Subsystons- Anhlog: amplitude, phase and froquency
+ modulation models; deterministic vootorial and froguoncy modes,
noiso consideration in design; sideband considerations;
convolutions; deiodulationsonemes;
Tho goal was to ostablish hore a base for definitions and
fo* mon communications with the class broatmeh, A
strong indicator hed boon shown in the poll for this avoa.
XIT Modulation Subsystems-Pulscd: PIM, PCH, Pl, ote. ond
. other pulsedmoddls were treated, holationships botween dete
cradnistic and band nélsu~1initod casos; system noise and
environmental noise budgets,
Scoond part of modulation trdatmont, .
. Ia
Approved For Release 2005/11/21 : CIA-RDP78.03576A000100010014-5
© V, Stochagbic Procossost penoral review and cxeoreiso of
: model Approved for Release 2088121 <GIARDP78H3E76AD001B001001A51L 11 anc
interference; properties of space and time yaviablos in
. single Mmendion case; conditional probebilitye
FPoodbaek ab this point showed that the pace of proceeding
sonsions was boo fast, Lb was abbenptod to wocapiiulate
cunalative matorial,
YI Detector Subsystems: ono dimonsional signal end nolscy
detection; docision threshold; opium processing; receiver
operating characteristics; interference effects from
aribiont nolso, systom noise, doppler, roverboration,
channel. uncorbainty in a verioly of applications.
1% had doen hoped horo that a consistent approach on a sob
of commonality subsystom functions could be nade for
ensuing sessions, The dotoction function is tho most
common across tn varioly of diseiplings with opplicetions
oxmmplos in biowedicine, radar, communications, acoustics, optics,
end in scigmics.
VIL Detector Subsystems: optimum detoction prevhitening;
Markov noise; Qotectability eritorin; coherent procossingy
energy detection; confidence measures; Students! t Yost.
Continued work on detection functions.
VIET Space-time Processing Subsystems: mulbisensor arrays; :
signal and noise matrices; prevhitening; watched filters;
dotedbion; averaging sehomes.
ho dinowe array and iGs variebions was tho ceptral 10del
for two sessions on spatial subsystems. his bad been
cited an mo area requiring emphasis carlicre
IX Spatial Processoms: oplimal arrays; lobes in time and space;
cohorioney; dotectability for sovoral configuerations;
nor field/fer fiold considerations; non-planur wavefronts.
ntent boro was to being in the cumlative sot of modeling
Boolr to a growp of spatial applications. *
Approved For Release 2005/11/21 : CIA-RDP78.03576A000100010014-5