In this paper, we optimize a proposed all-optical quantization scheme based on soliton self-frequency shift(SSFS)and pre-chirp spectral compression techniques. A 10m-long high-nonlinear photonic crystal fiber(PCF) is ...In this paper, we optimize a proposed all-optical quantization scheme based on soliton self-frequency shift(SSFS)and pre-chirp spectral compression techniques. A 10m-long high-nonlinear photonic crystal fiber(PCF) is used as an SSFS medium relevant to the power of the sampled optical pulses. Furthermore, a 10m-long dispersion flattened hybrid cladding hexagonal-octagonal PCF(6/8-PCF) is utilized as a spectral compression medium to further enhance the resolution. Simulation results show that 6-bit quantization resolution is still obtained when a 100m-long dispersion-increasing fiber(DIF)is replaced by a 6/8-PCF in spectral compression module.展开更多
This work studies the feasibility of implementing a system for diagnosis of electrical insulation in the field based on ultrasonic noise and artificial neural networks.Such system,proved functional under laboratory co...This work studies the feasibility of implementing a system for diagnosis of electrical insulation in the field based on ultrasonic noise and artificial neural networks.Such system,proved functional under laboratory conditions,extracts spectral information from the ultrasonic noise emitted by the corona discharges in electric equipments,and correlates it with previously defined degrees of pollution.To achieve this classification,artificial neural networks are employed.The results show the viability of the method in the site;nevertheless they also show that its reliability is proportional to the size and diversity of the available database.展开更多
According to the decline of recognition rate of speech recognition system in the noise environments, an improved perceptually non-uniform spectral compression feature extraction algorithm is put forward in this paper....According to the decline of recognition rate of speech recognition system in the noise environments, an improved perceptually non-uniform spectral compression feature extraction algorithm is put forward in this paper. This method can realize an effective compression of the speech signals and make the training and recognition environments more matching, so the recognition rate can be improved in the noise environments. By experimenting on the intelligent wheelchair platform, the result shows that the algorithm can effectively enhance the robustness of speech recognition, and ensure the recognition rate in the noise environments.展开更多
该文提出一种基于非负张量分解的高光谱图像压缩算法。首先将高光谱图像的每个谱段进行2维离散5／3小波变换，消除高光谱图像的空间冗余。然后将所有谱段的每级小波变换的4个小波子带看作为4个张量。对每个小波子带张量采用改进HALS（Hi...该文提出一种基于非负张量分解的高光谱图像压缩算法。首先将高光谱图像的每个谱段进行2维离散5／3小波变换，消除高光谱图像的空间冗余。然后将所有谱段的每级小波变换的4个小波子带看作为4个张量。对每个小波子带张量采用改进HALS（Hierarchical Alternating Least Squares）算法进行非负分解，来消除光谱冗余和空间残余冗余，同时保护了光谱信息。最后，将分解的因子矩阵进行熵编码。实验结果表明，该文提出的压缩算法具有良好压缩性能，在压缩比32：1-4：1范围内，平均信噪比高于40dB，与传统高光谱图像压缩算法比较，平均峰值信噪比提高了1．499dB。有效地提高了高光谱图像压缩算法的压缩性能和保护了光谱信息。展开更多
文摘In this paper, we optimize a proposed all-optical quantization scheme based on soliton self-frequency shift(SSFS)and pre-chirp spectral compression techniques. A 10m-long high-nonlinear photonic crystal fiber(PCF) is used as an SSFS medium relevant to the power of the sampled optical pulses. Furthermore, a 10m-long dispersion flattened hybrid cladding hexagonal-octagonal PCF(6/8-PCF) is utilized as a spectral compression medium to further enhance the resolution. Simulation results show that 6-bit quantization resolution is still obtained when a 100m-long dispersion-increasing fiber(DIF)is replaced by a 6/8-PCF in spectral compression module.
文摘This work studies the feasibility of implementing a system for diagnosis of electrical insulation in the field based on ultrasonic noise and artificial neural networks.Such system,proved functional under laboratory conditions,extracts spectral information from the ultrasonic noise emitted by the corona discharges in electric equipments,and correlates it with previously defined degrees of pollution.To achieve this classification,artificial neural networks are employed.The results show the viability of the method in the site;nevertheless they also show that its reliability is proportional to the size and diversity of the available database.
基金supported by the International Science and Technology Cooperation Program of China (2010DFA12160)the National Natural Science Foundation of China (51075420),the National Natural Science Foundation of China (60905066)the Science & Technology Research Project of Chongqing CSTC(2010AA2055)
文摘According to the decline of recognition rate of speech recognition system in the noise environments, an improved perceptually non-uniform spectral compression feature extraction algorithm is put forward in this paper. This method can realize an effective compression of the speech signals and make the training and recognition environments more matching, so the recognition rate can be improved in the noise environments. By experimenting on the intelligent wheelchair platform, the result shows that the algorithm can effectively enhance the robustness of speech recognition, and ensure the recognition rate in the noise environments.
文摘该文提出一种基于非负张量分解的高光谱图像压缩算法。首先将高光谱图像的每个谱段进行2维离散5／3小波变换，消除高光谱图像的空间冗余。然后将所有谱段的每级小波变换的4个小波子带看作为4个张量。对每个小波子带张量采用改进HALS（Hierarchical Alternating Least Squares）算法进行非负分解，来消除光谱冗余和空间残余冗余，同时保护了光谱信息。最后，将分解的因子矩阵进行熵编码。实验结果表明，该文提出的压缩算法具有良好压缩性能，在压缩比32：1-4：1范围内，平均信噪比高于40dB，与传统高光谱图像压缩算法比较，平均峰值信噪比提高了1．499dB。有效地提高了高光谱图像压缩算法的压缩性能和保护了光谱信息。
