Preface |
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vii | |
1. Introduction |
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1 | (14) |
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1.1 Nonlinear systems in engineering |
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1 | (2) |
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3 | (2) |
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1.3 Chapter by chapter overview |
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5 | (6) |
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11 | (4) |
2. Cellular Neural/Nonlinear Networks |
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15 | (30) |
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15 | (6) |
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16 | (2) |
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18 | (3) |
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21 | (6) |
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2.2.1 Chua-Yang CNN model |
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21 | (1) |
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2.2.2 State controlled CNN (SC-CNN) model |
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22 | (1) |
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2.2.3 Full-range CNN model |
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22 | (2) |
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2.2.4 Reaction-diffusion CNN model |
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24 | (1) |
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2.2.5 Generalized CNN models |
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25 | (5) |
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2.2.5.1 A generalized CNN model: nonlinear and delay CNNs |
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25 | (1) |
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2.2.5.2 Another generalized CNN model |
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26 | (1) |
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2.2.5.3 A generalized CNN based on Chua's circuit |
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27 | (1) |
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2.3 CNN universal machine: a visual microprocessor |
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27 | (3) |
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2.4 New research directions in CNNs |
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30 | (14) |
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2.4.1 Wave computing algorithm |
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30 | (2) |
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2.4.2 Coupled local minimizers |
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32 | (3) |
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2.4.3 Pattern formation on the ACE16k CNN Chip |
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35 | (5) |
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2.4.3.1 Experimental results: Autowaves |
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38 | (1) |
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2.4.3.2 Experimental results: Spiral waves |
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39 | (1) |
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2.4.4 Propagation of autowaves on the inhomogeneous CNN arrays |
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40 | (4) |
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44 | (1) |
3. Multi-Scroll Chaotic and Hyperchaotic Attractors |
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45 | (60) |
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46 | (12) |
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3.1.1 Chaos in Chua's circuit |
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47 | (10) |
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3.1.1.1 The Shilnikov method |
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47 | (5) |
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3.1.1.2 Harmonic balance method |
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52 | (5) |
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3.1.2 Realization of Chua's circuit |
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57 | (1) |
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3.2 Generalized Chua's circuit |
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58 | (15) |
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3.2.1 Realization of n-scroll attractors from generalized Chua's circuits |
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63 | (10) |
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3.2.1.1 Realization of 3- and 5-scroll attractors |
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64 | (5) |
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3.2.1.2 On the realization of n-scroll attractors |
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69 | (2) |
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3.2.1.3 Alternative realizations of n-scroll attractors |
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71 | (2) |
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3.3 Families of scroll grid attractors |
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73 | (18) |
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3.3.1 A new family of n-scroll attractors |
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75 | (2) |
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3.3.2 2-D scroll grid attractors |
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77 | (4) |
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3.3.3 3-D scroll grid attractors |
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81 | (2) |
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3.3.4 Circuit realizations |
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83 | (6) |
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3.3.5 Alternative realizations |
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89 | (2) |
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3.4 Multi-scroll hyperchaotic attractors |
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91 | (3) |
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3.4.1 Hyperchaotic n-scroll attractors |
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91 | (1) |
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3.4.2 n-Scroll hypercube attractors |
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92 | (2) |
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3.5 Scroll maps from n-scroll attractors |
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94 | (6) |
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3.5.1 1-Scroll and 2-scroll maps |
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95 | (3) |
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3.5.2 Circuit realization of a 1-scroll map |
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98 | (2) |
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3.6 Lur'e representations |
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100 | (4) |
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104 | (1) |
4. Synchronization of Chaotic Lur'e Systems |
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105 | (50) |
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105 | (4) |
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4.2 Master-slave synchronization: autonomous case |
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109 | (4) |
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4.2.1 Full static state error feedback |
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109 | (2) |
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4.2.2 Dynamic output feedback |
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111 | (2) |
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4.3 Robust synchronization |
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113 | (5) |
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4.3.1 Full static state error feedback |
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114 | (2) |
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4.3.2 Dynamic output feedback |
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116 | (2) |
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4.4 Time-delay synchronization scheme |
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118 | (7) |
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4.4.1 Error system for the time-delay synchronization scheme |
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119 | (2) |
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4.4.2 Delay-dependent synchronization criterion |
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121 | (3) |
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4.4.3 Full static state feedback together with time delay |
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124 | (1) |
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4.5 Nonlinear Hinfinity synchronization: non-autonomous case |
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125 | (6) |
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4.5.1 Full static state error feedback |
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125 | (4) |
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4.5.2 Dynamic output feedback |
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129 | (2) |
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4.6 Robust nonlinear Hinfinity synchronization |
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131 | (4) |
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4.6.1 Full static state error feedback |
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131 | (3) |
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4.6.2 Dynamic output feedback |
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134 | (1) |
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4.7 Impulsive synchronization |
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135 | (3) |
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4.7.1 State feedback case |
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136 | (1) |
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4.7.2 Measurement feedback case |
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137 | (1) |
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138 | (4) |
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4.8.1 Master-slave synchronization |
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139 | (1) |
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4.8.2 Robust synchronization |
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140 | (1) |
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4.8.3 Synchronization with time-delay |
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140 | (1) |
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4.8.4 Nonlinear Hinfinity synchronization |
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141 | (1) |
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4.8.5 Robust nonlinear Hinfinity synchronization |
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141 | (1) |
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142 | (12) |
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4.9.1 Master-slave synchronization of two unidirectionally coupled Chua's circuits |
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142 | (3) |
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4.9.2 Experimental confirmation of time-delay synchronization scheme |
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145 | (4) |
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4.9.3 Experimental confirmation of nonlinear Hinfinity synchronization for Chua's circuit and 5-scroll attractors |
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149 | (5) |
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154 | (1) |
5. Engineering Applications |
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155 | (46) |
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5.1 Chaos in communications |
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155 | (5) |
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5.1.1 Modulation and demodulation based on chaos |
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156 | (3) |
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5.1.1.1 Static modulation methods |
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157 | (1) |
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5.1.1.2 Dynamic modulation methods |
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157 | (2) |
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5.1.2 The role of new synchronization schemes |
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159 | (1) |
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5.2 Chaotic systems in optimization |
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160 | (6) |
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162 | (1) |
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5.2.2 Coupled chaotic annealing |
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162 | (2) |
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5.2.3 Illustrative examples |
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164 | (2) |
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5.3 Random number generators and cryptography |
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166 | (20) |
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5.3.1 TRNG from a double scroll attractor |
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168 | (10) |
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170 | (3) |
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5.3.1.2 De-skewing and setting the threshold |
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173 | (2) |
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5.3.1.3 Statistical tests |
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175 | (3) |
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5.3.2 Binary pseudorandom pattern generation on CNN-UM |
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178 | (8) |
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5.3.2.1 PPGs from 1-D rules |
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180 | (2) |
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5.3.2.2 PPGs from 2-D rules |
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182 | (1) |
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5.3.2.3 Experimental results on the CNN-UM chip |
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182 | (2) |
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5.3.2.4 A general comparison |
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184 | (2) |
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5.4 Image/Video authentication on CNN-UM |
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186 | (8) |
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5.4.1 Fragile watermarking |
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187 | (2) |
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5.4.2 Fragile watermarking on the CNN-UM for image authentication |
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189 | (1) |
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5.4.3 Fragile watermarking on the CNN-UM for video authentication |
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190 | (1) |
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5.4.4 Experimental results on the CNN-UM chip |
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190 | (4) |
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194 | (4) |
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5.5.1 Erroneous chip behavior and template robustness |
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194 | (2) |
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196 | (2) |
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198 | (3) |
6. General Conclusions and Future Work |
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201 | (2) |
Bibliography |
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203 | (22) |
Notation |
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225 | (4) |
Index |
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229 | |