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Proceedings of the 2020 4th International Conference on Digital Signal Processing最新文献

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AUV Path Planning with Kinematic Constraints in Unknown Environment Using Reinforcement Learning 基于强化学习的未知环境下具有运动约束的AUV路径规划
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408183
Xuyang Hou, Jun Du, Jingjing Wang, Yong Ren
{"title":"AUV Path Planning with Kinematic Constraints in Unknown Environment Using Reinforcement Learning","authors":"Xuyang Hou, Jun Du, Jingjing Wang, Yong Ren","doi":"10.1145/3408127.3408183","DOIUrl":"https://doi.org/10.1145/3408127.3408183","url":null,"abstract":"Path planning has been considered as a challenging and critical issue in the management of autonomous underwater vehicle (AUV) systems. Although in the past years, the study of AUV path planning has obtained numerous achievements, many researches only considered the optimal path in a known grid-based environment, and ignored nonlinear kinematic characteristics of AUVs, which is unrealistic. In this paper, a reinforcement learning based path planning algorithm is proposed, with the nonlinear kinematic constraints of the AUV in unknown continuous environments. The proposed algorithm utilizes the sonar array to detect the randomly placed obstacles and plans a collision-free path that connects the start and target points even the map data is not known in advance. Extensive analysis and simulations are conducted in unknown continuous environments, and verify the validity and efficiency of the proposed algorithm.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115532639","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A Joint Algorithm for Carrier Phase and Timing Synchronization in Non-binary LDPC Coded CPM Systems 非二进制LDPC编码CPM系统中载波相位与时序同步的联合算法
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408165
Xiaolin Liu, Yong Liu, Rui Xu, Jianchao Yang
{"title":"A Joint Algorithm for Carrier Phase and Timing Synchronization in Non-binary LDPC Coded CPM Systems","authors":"Xiaolin Liu, Yong Liu, Rui Xu, Jianchao Yang","doi":"10.1145/3408127.3408165","DOIUrl":"https://doi.org/10.1145/3408127.3408165","url":null,"abstract":"Traditional convolutional coded minimum shift keying (CC-MSK) scheme has the problems of poor reliability and low communication rate under the narrow band and low signal noise ratio (SNR) conditions, a novel scheme of non-binary low density parity check coded continuous phase modulation (LDPC-CPM) is introduced in order to increase reliability and effectiveness. At the same time, the receiver introduces iterative detection mechanism to achieve the compromise between reliability and complexity, and as a key module of the receiver, how to complete synchronization for the signals is a problem worthy of study. This paper proposes a maximum-mean likelihood ratio (MMLR) joint algorithm based on the logarithmic domain, which uses the soft information output by LDPC decoder to complete carrier phase synchronization and timing synchronization simultaneously during a synchronization process. Theoretical research and simulation results show that the proposed algorithm has high effectiveness in large synchronization range and high reliability under low SNR conditions. Compared with serial synchronization, the proposed algorithm can also effectively shorten the synchronization time.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132821252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improved wavelet domain centroid-based adaptive audio steganography 改进的基于小波域质心的自适应音频隐写
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408133
Dingwei Tan, Yuliang Lu, Xuehu Yan, Longlong Li
{"title":"Improved wavelet domain centroid-based adaptive audio steganography","authors":"Dingwei Tan, Yuliang Lu, Xuehu Yan, Longlong Li","doi":"10.1145/3408127.3408133","DOIUrl":"https://doi.org/10.1145/3408127.3408133","url":null,"abstract":"The discrete wavelet transform has strong stability, and small modifications to the audio have a little impact on the coefficients in the DWT domain. Centroid refers to the center of energy distribution and also has strong stability. Therefore, this paper proposes an improved adaptive steganography based on wavelet domain centroid, which can be used to hide secret information in digital audio. The secret information in the scheme is mainly represented by XOR operation and adaptive hiding. The original audio is decomposed by a 2-level integer wavelet transform, which is then divided into a number of segments to calculate the centroid of each segment. The secret information is then embedded into each of the low frequency wavelet coefficients by a three-bit XOR result. If the XOR result is not equal to the secret information, the next bit of the centroid bit is flipped. The scheme has a considerable capacity. Compared with the existing methods, it has better robustness, and the imperceptibility is also acceptable.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130075631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Generate Keyphrases by Combining Hidden Context and Word Context 通过组合隐藏上下文和单词上下文生成关键短语
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408171
Tianshuo Huang, Lei Zhang
{"title":"Generate Keyphrases by Combining Hidden Context and Word Context","authors":"Tianshuo Huang, Lei Zhang","doi":"10.1145/3408127.3408171","DOIUrl":"https://doi.org/10.1145/3408127.3408171","url":null,"abstract":"As the network develops, highly generalized indexing information becomes more and more important. Keyphrases are multiple words that can simply summarize the semantics of an article. Keyphrase generation is the basis for many natural language processing tasks. Although there are many tasks for keyword generation, they consider hidden layer information and almost ignore each independent word information in the source text. So we attach word-level information to the model and combine this information with hidden layer information. Experimental results show that our model can effectively improve the accuracy of the generated keyphrases.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"875 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116159689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
AT-GAN: Attention Transfer GAN for Image-to-Image Translation AT-GAN:用于图像到图像翻译的注意力转移GAN
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408177
Xinxiong Xie, Yuhan Dong, Yali Li, Shengjin Wang
{"title":"AT-GAN: Attention Transfer GAN for Image-to-Image Translation","authors":"Xinxiong Xie, Yuhan Dong, Yali Li, Shengjin Wang","doi":"10.1145/3408127.3408177","DOIUrl":"https://doi.org/10.1145/3408127.3408177","url":null,"abstract":"Recently, unsupervised image-to-image translation task have attracted great attention. In this paper, we propose a novel method for this task based on a new attention module and a new attention transfer mechanism. The attention module guides discriminator to focus on discriminative regions between source and target domains by the auxiliary classifier. The attention transfer mechanism computes attention map in corresponding discriminator and transfer it to help the generator focus on the most discrepant regions. We also introduce a Layer Normalization method in last two layers of generator to achieve match of global statistics. Both qualitative and quantitative experimental results comparison against state-of-the-art methods on benchmark datasets show the superiority of AT-GAN.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121413667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
An Original Domain based Acceleration Algorithm of Logarithmic Binary Arithmetic Coding 一种基于原始域的对数二进制算术编码加速算法
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408139
Zhenyu Wang, Kui Fan, Ronggang Wang, Hongbin Cao, Bingjie Han, Wen Gao
{"title":"An Original Domain based Acceleration Algorithm of Logarithmic Binary Arithmetic Coding","authors":"Zhenyu Wang, Kui Fan, Ronggang Wang, Hongbin Cao, Bingjie Han, Wen Gao","doi":"10.1145/3408127.3408139","DOIUrl":"https://doi.org/10.1145/3408127.3408139","url":null,"abstract":"In the series of AVS coding standard, logarithmic domain based adaptive binary arithmetic coder (LBAC) is used with a high data-compression ratio and a hardware-efficient structure. However, the existing software implementation of LBAC is of high complexity, especially for the decoder. Based on the analysis of the mapping mechanism between the logarithmic domain and the original domain, this paper proposes an original domain based acceleration algorithm for LBAC (ODB-LBAC). This algorithm simplifies the existing decoding process of LBAC and is friendly for software implementation. Experimental results show that, ODB-LBAC achieves a speedup of 5.65% and 18.28% in a fully optimized AVS2 decoder, for random-access and all-intra configurations, respectively. At present, this algorithm has been adopted into the AVS3 reference software as the reference implementation of LBAC.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122782068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Speech Enhancement Based on Adaptive Harmonic Model Using Maximum Likelihood Method 基于最大似然法自适应谐波模型的语音增强
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408134
Xizhong Shen, Lei Zhang
{"title":"Speech Enhancement Based on Adaptive Harmonic Model Using Maximum Likelihood Method","authors":"Xizhong Shen, Lei Zhang","doi":"10.1145/3408127.3408134","DOIUrl":"https://doi.org/10.1145/3408127.3408134","url":null,"abstract":"Speech enhancement is a hot topic in the modern society due to its extensive applications such as automatic speech recognition, mobile communication, etc. Spectral subtraction is a very valid and direct denoising algorithm, but it is still needed to be further developed due to complex application. In this paper, we firstly assume adaptive harmonic model to model the speech signal. Speech enhancement is then achieved by spectral subtraction. To further enhance the speech intelligibility, we attempt to estimate the harmonic model. Maximum likelihood method is considered to derive the phase and amplitude update formulae of the modelled harmonic signal, which are aimed to depress the distortion due to spectral subtraction. Different from convention spectral subtraction, both the amplitude and phase parameters of adaptive harmonic model are combined to be updated. We assume the additive noise is correlated along the time sequence. By the optimal solution of maximum likelihood method, we obtain the updated version of speech enhancement. Simulation results show the effectiveness of the new algorithm, and further improvement of spectral subtraction.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123025578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Clutter Subspace Based Contaminated Sample Detecting Method for Arbitrary Antenna Array 基于杂波子空间的任意天线阵列污染样本检测方法
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408170
Guodong Wang, Zhanye Chen
{"title":"Clutter Subspace Based Contaminated Sample Detecting Method for Arbitrary Antenna Array","authors":"Guodong Wang, Zhanye Chen","doi":"10.1145/3408127.3408170","DOIUrl":"https://doi.org/10.1145/3408127.3408170","url":null,"abstract":"For the airborne radar, the statistic space-time adaptive processing method is always contaminated by the interference-targets (outliers) in heterogeneous environment. The non-homogeneity detector is a useful method for outlier detecting and eliminating. However, when the array is not the sidelooking uniform linear array, the traditional non-homogeneity detector has significant performance degradation because of the error estimation of the covariance matrix. This paper proposed a clutter subspace based contaminated sample detecting method for the arbitrary antenna. The signal model for the arbitrary antenna array is proposed first. Combined with the new signal model, a proposition has been introduced to construct the clutter subspace, and then the contaminated sample detecting method is proposed by another proposition and the clutter subspace. Numerical results illustrate the effectiveness and validity of the proposed method.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126966380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on DF Technique for UAV Signal 无人机信号的DF技术研究
Proceedings of the 2020 4th International Conference on Digital Signal Processing Pub Date : 2020-06-19 DOI: 10.1145/3408127.3408132
Yuanqing Zhu, Jin-Feng Wang, Heng Chai
{"title":"Research on DF Technique for UAV Signal","authors":"Yuanqing Zhu, Jin-Feng Wang, Heng Chai","doi":"10.1145/3408127.3408132","DOIUrl":"https://doi.org/10.1145/3408127.3408132","url":null,"abstract":"Aiming at the demand of DF to UAV signal for jamming guidance, this paper analyzes the characteristics of UAV signal, then provides an interferometer DF method of linear array deployment based on virtual baseline, and comes up with one phase stage-by-stage solving-ambiguity method based on FFT, which can effectively increase the correctness of phase calculation and algorithm stability. The simulation results of that algorithm indicate that when SNR=0dB, the DF accuracy of interferometer DF method based on virtual baseline can be 1.7° (r.m.s), which can satisfy the requirement for jamming guidance.","PeriodicalId":383401,"journal":{"name":"Proceedings of the 2020 4th International Conference on Digital Signal Processing","volume":"14 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125849647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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