In past decades, there has been a growing interest in the discussion and study of using underwater acoustic channel as the physical layer for communication systems, ranging from point-to-point communications to underw...In past decades, there has been a growing interest in the discussion and study of using underwater acoustic channel as the physical layer for communication systems, ranging from point-to-point communications to underwater multicarrier modulation networks. A series of review papers were already available to provide a history of the development of the field until the end of the last decade. In this paper, we attempt to provide an overview of the key developments, both theoretical and applied, in the particular topics regarding multicarrier communication for underwater acoustic communication such as the channel and Doppler shift estimation, video and image transmission throw multicarrier techniques, etc. This paper also includes acoustic propagation properties in seawater and underwater acoustic channel representation.展开更多
We present a novel approach to solve the problem of single channel source separation (SCSS) based on filterbank technique and sparse non-negative matrix two dimensional deconvolution (SNMF2D). The proposed approach do...We present a novel approach to solve the problem of single channel source separation (SCSS) based on filterbank technique and sparse non-negative matrix two dimensional deconvolution (SNMF2D). The proposed approach does not require training information of the sources and therefore, it is highly suited for practicality of SCSS. The major problem of most existing SCSS algorithms lies in their inability to resolve the mixing ambiguity in the single channel observation. Our proposed approach tackles this difficult problem by using filterbank which decomposes the mixed signal into sub-band domain. This will result the mixture in sub-band domain to be more separable. By incorporating SNMF2D algorithm, the spectral-temporal structure of the sources can be obtained more accurately. Real time test has been conducted and it is shown that the proposed method gives high quality source separation performance.展开更多
Reconstruction of a continuous time signal from its periodic nonuniform samples and multi-channel samples is fundamental for multi-channel parallel A/D and MIMO systems. In this paper,with a filterbank interpretation ...Reconstruction of a continuous time signal from its periodic nonuniform samples and multi-channel samples is fundamental for multi-channel parallel A/D and MIMO systems. In this paper,with a filterbank interpretation of sampling schemes,the efficient interpolation and reconstruction methods for periodic nonuniform sampling and multi-channel sampling in the fractional Fourier domain are presented. Firstly,the interpolation and sampling identities in the fractional Fourier domain are derived by the properties of the fractional Fourier transform. Then,the particularly efficient filterbank implementations for the periodic nonuniform sampling and the multi-channel sampling in the fractional Fourier domain are introduced. At last,the relationship between the multi-channel sampling and the filterbank in the fractional Fourier domain is investigated,which shows that any perfect reconstruction filterbank can lead to new sampling and reconstruction strategies.展开更多
Conventional Synthetic Aperture Radar (SAR) systems cannot obtain high-resolution and wide-swath illumination area due to the well-known minimum antenna area constraint. Single Phase Center MultiBeam (SPCMB) technique...Conventional Synthetic Aperture Radar (SAR) systems cannot obtain high-resolution and wide-swath illumination area due to the well-known minimum antenna area constraint. Single Phase Center MultiBeam (SPCMB) technique can overcome this limitation by adding spatial sampling through multiple receivers in azimuth direction. Unfortunately, this approach will lead to an increase of azimuth ambiguities (interbeam ambiguities), because each receive beam’s mainlobe overlaps with the other ones’ sidelobes. This paper proves that the front part of SPCMB SAR systems can be considered to be a hybrid filterbank. Therefore, the azimuth signal can be reconstructed and the interbeam am- biguities can be effectively suppressed by a well-designed hybrid filterbank.展开更多
The processing of sound signals is significantly improved recently.Technique for sound signal processing focusing on music beyond speech area is getting attention due to the development of deep learning techniques.Thi...The processing of sound signals is significantly improved recently.Technique for sound signal processing focusing on music beyond speech area is getting attention due to the development of deep learning techniques.This study is for analysis and process of music signals to generate tow-dimensional tabular data and a new music.For analysis and process part,we represented normalized waveforms for each of input data via frequency domain signals.Then we looked into shorted segment to see the difference wave pattern for different singers.Fourier transform is applied to get spectrogram of the music signals.Filterbank is applied to represent the spectrogram based on the human ear instead of the distance on the frequency dimension,and the final spectrogram has been plotted by Mel scale.For generating part,we created two-dimensional tabular data for data manipulation.With the 2D data,any kind of analysis can be done since it has digit values for the music signals.Then,we generated a new music by applying LSTM toward the song audience preferred more.As the result,it has been proved that the created music showed the similar waveforms with the original music.This study made a step forward for music signal processing.If this study expands further,it can find the pattern that listeners like so music can be generated within favorite singer’s voice in the way that the listener prefers.展开更多
空中接口标准在移动通信网络中是最关键部分,而空中接口中最核心的是多址与复用技术。首先给出了第5代移动通信系统(5G)对空中接口技术的新要求,然后对OFDM(orthogonal frequency division multiplexing)存在的问题进行了分析,在此基础...空中接口标准在移动通信网络中是最关键部分,而空中接口中最核心的是多址与复用技术。首先给出了第5代移动通信系统(5G)对空中接口技术的新要求,然后对OFDM(orthogonal frequency division multiplexing)存在的问题进行了分析,在此基础上,重点讨论了滤波器组多载波传输(filterbank based multi carrier,FBMC),通用滤波多载波(universal filtered multi carrier,UFMC)和广义频分复用传输(generalized frequency division multiplexing,GFDM)等3种基于OFDM改进的新型多址与复用技术。展开更多
文摘In past decades, there has been a growing interest in the discussion and study of using underwater acoustic channel as the physical layer for communication systems, ranging from point-to-point communications to underwater multicarrier modulation networks. A series of review papers were already available to provide a history of the development of the field until the end of the last decade. In this paper, we attempt to provide an overview of the key developments, both theoretical and applied, in the particular topics regarding multicarrier communication for underwater acoustic communication such as the channel and Doppler shift estimation, video and image transmission throw multicarrier techniques, etc. This paper also includes acoustic propagation properties in seawater and underwater acoustic channel representation.
文摘We present a novel approach to solve the problem of single channel source separation (SCSS) based on filterbank technique and sparse non-negative matrix two dimensional deconvolution (SNMF2D). The proposed approach does not require training information of the sources and therefore, it is highly suited for practicality of SCSS. The major problem of most existing SCSS algorithms lies in their inability to resolve the mixing ambiguity in the single channel observation. Our proposed approach tackles this difficult problem by using filterbank which decomposes the mixed signal into sub-band domain. This will result the mixture in sub-band domain to be more separable. By incorporating SNMF2D algorithm, the spectral-temporal structure of the sources can be obtained more accurately. Real time test has been conducted and it is shown that the proposed method gives high quality source separation performance.
基金Supported by the National Natural Science Foundation of China for Distinguished Young Scholars (Grant No. 60625104)the National Natural Science Foundation of China (Grant Nos. 60890072, 60572094)the National Key Basic Research Program Founded by MOST (Grant No. 2009CB724003)
文摘Reconstruction of a continuous time signal from its periodic nonuniform samples and multi-channel samples is fundamental for multi-channel parallel A/D and MIMO systems. In this paper,with a filterbank interpretation of sampling schemes,the efficient interpolation and reconstruction methods for periodic nonuniform sampling and multi-channel sampling in the fractional Fourier domain are presented. Firstly,the interpolation and sampling identities in the fractional Fourier domain are derived by the properties of the fractional Fourier transform. Then,the particularly efficient filterbank implementations for the periodic nonuniform sampling and the multi-channel sampling in the fractional Fourier domain are introduced. At last,the relationship between the multi-channel sampling and the filterbank in the fractional Fourier domain is investigated,which shows that any perfect reconstruction filterbank can lead to new sampling and reconstruction strategies.
文摘Conventional Synthetic Aperture Radar (SAR) systems cannot obtain high-resolution and wide-swath illumination area due to the well-known minimum antenna area constraint. Single Phase Center MultiBeam (SPCMB) technique can overcome this limitation by adding spatial sampling through multiple receivers in azimuth direction. Unfortunately, this approach will lead to an increase of azimuth ambiguities (interbeam ambiguities), because each receive beam’s mainlobe overlaps with the other ones’ sidelobes. This paper proves that the front part of SPCMB SAR systems can be considered to be a hybrid filterbank. Therefore, the azimuth signal can be reconstructed and the interbeam am- biguities can be effectively suppressed by a well-designed hybrid filterbank.
文摘The processing of sound signals is significantly improved recently.Technique for sound signal processing focusing on music beyond speech area is getting attention due to the development of deep learning techniques.This study is for analysis and process of music signals to generate tow-dimensional tabular data and a new music.For analysis and process part,we represented normalized waveforms for each of input data via frequency domain signals.Then we looked into shorted segment to see the difference wave pattern for different singers.Fourier transform is applied to get spectrogram of the music signals.Filterbank is applied to represent the spectrogram based on the human ear instead of the distance on the frequency dimension,and the final spectrogram has been plotted by Mel scale.For generating part,we created two-dimensional tabular data for data manipulation.With the 2D data,any kind of analysis can be done since it has digit values for the music signals.Then,we generated a new music by applying LSTM toward the song audience preferred more.As the result,it has been proved that the created music showed the similar waveforms with the original music.This study made a step forward for music signal processing.If this study expands further,it can find the pattern that listeners like so music can be generated within favorite singer’s voice in the way that the listener prefers.
文摘空中接口标准在移动通信网络中是最关键部分,而空中接口中最核心的是多址与复用技术。首先给出了第5代移动通信系统(5G)对空中接口技术的新要求,然后对OFDM(orthogonal frequency division multiplexing)存在的问题进行了分析,在此基础上,重点讨论了滤波器组多载波传输(filterbank based multi carrier,FBMC),通用滤波多载波(universal filtered multi carrier,UFMC)和广义频分复用传输(generalized frequency division multiplexing,GFDM)等3种基于OFDM改进的新型多址与复用技术。