- Page 1 and 2: Copyright Warning & RestrictionsThe
- Page 3 and 4: ABSTRACTSPACE/TIME/FREQUENCY METHOD
- Page 5 and 6: SPACE/TIME/FREQUENCY METHODS IN ADA
- Page 7: APPROVAL PAGESpace/Time/Frequency M
- Page 11 and 12: TABLE OF CONTENTSChapterPage1 INTRO
- Page 13 and 14: LIST OF FIGURESFigurePage1.1 A taxo
- Page 15 and 16: FigurePage5.11 Post-Doppler range p
- Page 17 and 18: 2that take advantage of the low-ran
- Page 19 and 20: 4representation of seismic data [13
- Page 21 and 22: 6Figure 1.2 Reduced-rank MVBFigure
- Page 23 and 24: CHAPTER 2TIME-FREQUENCY TECHNIQUES
- Page 25 and 26: 10Figure 2.1 Side-Looking SARFundam
- Page 27 and 28: 12Figure 2.3 Real Aperture Line Ant
- Page 29 and 30: 14The collected data comprise a set
- Page 31 and 32: 16Figure 2.5 Magnitude of the Fouri
- Page 33 and 34: 182.3.1 Short-Time Fourier Transfor
- Page 35 and 36: Figure 2.8 SIFT of a sine wave20
- Page 37 and 38: Figure 2.10 Tradeoffs of various ST
- Page 39 and 40: 24s(t) may be represented as a comb
- Page 41 and 42: 26Figure 2.12 Gabor transform of a
- Page 43 and 44: 28When a function ƒ(t) is scaled:t
- Page 45 and 46: 30reconstruction only takes place i
- Page 47 and 48: Figure 2.15 Scalogram of a multicom
- Page 49 and 50: 34representations are bilinear (qua
- Page 51 and 52: 36artifacts called cross-components
- Page 53 and 54: 382.4 Time-Frequency Analysis of Li
- Page 55 and 56: 402.4.2 The Short Time Fourier Tran
- Page 57 and 58: 42It is very clear from Equations 2
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44) Contour plot of the scalogram o
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46where for the DFT, the output SNR
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48Figure 2.23 Input SNR vs 1/mse of
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50to be 15.4 dB. In the case of the
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52(a) Contour plotFigure 2.25 SAR i
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(a) Contour plotFigure 2.27 SAR ima
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Figure 2.28 SAR with 2 moving targe
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58(a) Moving target with synthetic
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CHAPTER 3SPACE-TIME ADAPTIVE PROCES
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62Figure 3.2 Space-time adaptive ar
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64Since the colored noise true cova
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66estimate the covariance matrix. N
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68Figure 3.4 Full-rank GSC processo
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70where x is the data vector, s is
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72L1 i.AUJ VI CbiJ.CJ 1iJJ101-1,y 1
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74Figure 4.1 Reduced-rank MVBoutput
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762. To avoid the complication, of
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784. Similar to Case of the GSC, th
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804.2.1 Analysis of Fixed Transform
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82The density of the CSNR f (p) can
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CHAPTER 5NUMERICAL RESULTSNumerical
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86(a) CSNit vs Hank order - without
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88Figure 5.3 CSNR vs Rank order wit
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Figure 5.5 Probability density of t
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92Figure 5.7 Probability of detecti
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94is unacceptable with one term. Th
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960.8 0.8I0.6 0.6(!) (!)0.4 0.4I0.2
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98The third scenario, shown in Figu
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100Figure 5.12 Post-Doppler range p
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102(a) Training around the target r
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Figure 5.16 Signal cancellation bas
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106radar, where a large number of d
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108the loss incurred by the applica
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APPENDIX BCOLUMN STACKED FIXED TRAN
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APPENDIX Cp COMPARISONIn this appen
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11411. Louis Auslander, C. Buffalan
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37. A Grossmann and J. Monet. Decom
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11862. N. Ahmed, T. Natarajan, and
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120reduced-rank, 73reduced-rank GSC