2021
DOI: 10.1007/s11276-021-02762-4
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Wavelet transform based non-hermitian symmetry OFDM technique for indoor MIMO-VLC system with an imaging receiver

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Cited by 9 publications
(6 citation statements)
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“…For any digital multimedia video image, each reconstruction vector c l can be deduced according to formula (13), and all c l obtained can be calculated to generate a table a [20].…”
Section: Wavelet Transform and Vector Quantization Of Multi-resolutio...mentioning
confidence: 99%
See 1 more Smart Citation
“…For any digital multimedia video image, each reconstruction vector c l can be deduced according to formula (13), and all c l obtained can be calculated to generate a table a [20].…”
Section: Wavelet Transform and Vector Quantization Of Multi-resolutio...mentioning
confidence: 99%
“…Analyze the data calculated by formula (20), understand, and master the distribution range and distribution law of digital multimedia video image pixels, so as to realize faulttolerant coding [24].…”
Section: Multiresolution Image Coding Based On Waveletmentioning
confidence: 99%
“…9 Commercially available LEDs have modulation bandwidths ranging from 2 to 20 MHz. 10 To realize high-speed data transfer in VLC, the low LED modulation bandwidth (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19)(20) necessitates the use of multi-carrier modulation (MCM) methods. 11 Nowadays, orthogonal frequency division multiplexing (OFDM) has been widely utilized as an MCM technique in VLC.…”
Section: Introductionmentioning
confidence: 99%
“…16 For this, it may be useful to take advantage of the signal's Hermitian symmetry (HS) in the frequency domain. 17 In the literature, several approaches are presented for getting a non-negative signal. They are DCO-OFDM, ACO-OFDM, flip-OFDM, and pulse amplitude-modulation-discrete multi-tone (PAM-DMT).…”
Section: Introductionmentioning
confidence: 99%
“…The Wavelet Transform theory, as a time-domain analysis method developed by inheriting the Fourier Transform, has gradually emerged and has been applied to the extraction technology of vital signs in recent years [ 16 ]. Wavelet Transform can perform a time-frequency joint analysis of signals, with high resolution, and can effectively denoise and extract non-stationary signals [ 17 , 18 ]. Kumar used Wavelet Transform to process ECG signals with an improved threshold algorithm to remove the influence of baseline drift, power frequency interference and EMG interference [ 19 ].…”
Section: Introductionmentioning
confidence: 99%