In this paper a novel coding method based on fuzzy vector quantization for noised image with Gaussian white-noise pollution is presented. By restraining the high frequency subbands of wavelet image the noise is signif...In this paper a novel coding method based on fuzzy vector quantization for noised image with Gaussian white-noise pollution is presented. By restraining the high frequency subbands of wavelet image the noise is significantly removed and coded with fuzzy vector quantization. The experimental result shows that the method can not only achieve high compression ratio but also remove noise dramatically.展开更多
自适应光正交频分复用符号分解串行传输(Adaptive Optical Orthogonal Frequency Division Multiplexing Symbol Decomposition with Serial Transmission,O-OFDM-ASDST)可以抑制O-OFDM系统非线性失真,但在接收端将分解符号合并时会增...自适应光正交频分复用符号分解串行传输(Adaptive Optical Orthogonal Frequency Division Multiplexing Symbol Decomposition with Serial Transmission,O-OFDM-ASDST)可以抑制O-OFDM系统非线性失真,但在接收端将分解符号合并时会增大加性高斯白噪声(Additive White Gaussian Noise,AWGN),因此设计一种能够抑制AWGN的新型接收机.分析了O-OFDM分解符号的结构特征和可观测到的AWGN的最大偏移分量,基于此对接收分解符号进行预处理,尽可能恢复出原本等于限幅门限和零值的时域抽样值,再根据O-OFDM分解符号特征,重构接收分解符号.最后采用蒙特卡洛(Monte Carlo)误码率仿真方法,验证了接收机的有效性.展开更多
文摘In this paper a novel coding method based on fuzzy vector quantization for noised image with Gaussian white-noise pollution is presented. By restraining the high frequency subbands of wavelet image the noise is significantly removed and coded with fuzzy vector quantization. The experimental result shows that the method can not only achieve high compression ratio but also remove noise dramatically.
文摘自适应光正交频分复用符号分解串行传输(Adaptive Optical Orthogonal Frequency Division Multiplexing Symbol Decomposition with Serial Transmission,O-OFDM-ASDST)可以抑制O-OFDM系统非线性失真,但在接收端将分解符号合并时会增大加性高斯白噪声(Additive White Gaussian Noise,AWGN),因此设计一种能够抑制AWGN的新型接收机.分析了O-OFDM分解符号的结构特征和可观测到的AWGN的最大偏移分量,基于此对接收分解符号进行预处理,尽可能恢复出原本等于限幅门限和零值的时域抽样值,再根据O-OFDM分解符号特征,重构接收分解符号.最后采用蒙特卡洛(Monte Carlo)误码率仿真方法,验证了接收机的有效性.
基金Supported by the Key Project of Universities Natural Science Research of Anhui Province (KJ2021A0638, KJ2020A0509)the National Natural Science Foundation of China (61573034, 61327807, 11705003)the National Natural Science Foundation of Anhui Province (gxbjZD2021063)。
