2017 2nd International Conference on Computing and Communications Technologies (ICCCT) 2017
DOI: 10.1109/iccct2.2017.7972295
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Analysis of some two dimensional functions using two dimensional Fourier transforms: Image reconstruction and physical significance

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Cited by 3 publications
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“…To verify the applicability of the proposed synchronous transmission method for array signals, the throughput and accuracy of the synchronous transmission were analyzed through contrastive experiments [30]. The proposed method was compared with the carrier-based synchronous transmission method for wireless signals (Method 1) [1], and the synchronous transmission method for energy and signals with a parallel inductive structure of fundamental energy channel and harmonic energy channel (Method 2) [2]. Figure 3, the throughputs of Method 1 and Method 2 both decreased first and then increased, while the throughput of our method remained above 150MPa and that of the two contrastive method.…”
Section: Experiments and Results Analysismentioning
confidence: 99%
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“…To verify the applicability of the proposed synchronous transmission method for array signals, the throughput and accuracy of the synchronous transmission were analyzed through contrastive experiments [30]. The proposed method was compared with the carrier-based synchronous transmission method for wireless signals (Method 1) [1], and the synchronous transmission method for energy and signals with a parallel inductive structure of fundamental energy channel and harmonic energy channel (Method 2) [2]. Figure 3, the throughputs of Method 1 and Method 2 both decreased first and then increased, while the throughput of our method remained above 150MPa and that of the two contrastive method.…”
Section: Experiments and Results Analysismentioning
confidence: 99%
“…Jagatheswari et al [1] proposed a carrier-based synchronous transmission method for wireless signals. First, system modeling was performed by the coupling theory to analyze the features and efficiency of signal synchronous transmission.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, X. Zhou et al have applied deep belief network (DBN) to learn striation-based sonar fringe images and proposed shared latent sparse feature (SLS) to represent the interference fringe [7]. The two-dimensional Fourier transform decomposes an image into the sum of several complex plane waves [8][9][10]. When the intensity of complex plane wave component forming the fringe pattern to be measured is small, the fringe pattern will be submerged in the noise.…”
Section: Introductionmentioning
confidence: 99%