2020 International Conference on Signal Processing and Communications (SPCOM)最新文献_第8页

Signal Representation Using Ramanujan Subspaces Utilizing A Prior Signal Information 利用先验信号信息的Ramanujan子空间信号表示

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179618

Shaik Basheeruddin Shah, Vijay Kumar Chakka

引用次数: 0

Diffusion Channel Characterization for A Cuboid Container: Some Insights into The Role of Dimensionality and Fluid Boundaries 长方体容器的扩散通道表征:对维度和流体边界作用的一些见解

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179630

Ankit, M. Bhatnagar

{"title":"Diffusion Channel Characterization for A Cuboid Container: Some Insights into The Role of Dimensionality and Fluid Boundaries","authors":"Ankit, M. Bhatnagar","doi":"10.1109/SPCOM50965.2020.9179630","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179630","url":null,"abstract":"Dimensionality of the fluid environment plays a crucial role in characterizing the diffusive channel. It is generally believed that increasing the dimensionality of the fluid medium should negatively affect the hitting probabilities as the degrees of freedom of propagating molecules have been enhanced. This paper has twofold objectives, it provides the diffusion channel characterization of a molecular communication (MC) system in an enclosed cuboid geometry and then studies the effect of dimensionality and the size of the receiver on the obtained channel statistics. The motility probability distribution function (PDF) of the molecules in a constrained cuboid environment with five reflecting and one absorbing wall is derived. The first hitting time (FHT) PDF and the hitting probabilities of the molecules to the absorbing wall are deduced from the same. A comparative analytical study of the derived FHT PDF against the diffusion channel statistics of various bounded and unbounded environments is presented. The comparison quantitatively establishes that an MC system with suitably configured fluid boundaries and transmitter and receiver arrangement can completely eliminate the effect of dimensionality and the size of the receiver on the hitting probabilities. The study may be of use in designing practically efficient and economic MC systems.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130425554","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

Improving Steady-State Performance of the UT-ZA-PNLMS Algorithm for Sparse Systems 改进稀疏系统UT-ZA-PNLMS算法的稳态性能

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179566

K. S. S. Anudeep, Kuldeep Khoria, R. Das

{"title":"Improving Steady-State Performance of the UT-ZA-PNLMS Algorithm for Sparse Systems","authors":"K. S. S. Anudeep, Kuldeep Khoria, R. Das","doi":"10.1109/SPCOM50965.2020.9179566","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179566","url":null,"abstract":"For identifying sparse systems, a recently proposed algorithm called upper threshold based zero attracting proportionate normalized least mean square (UT-ZA-PNLMS) algorithm has shown improved performance in terms of both the convergence rate and steady-state error in comparison to the ZAPNLMS algorithm. The UT-ZA-PNLMS algorithm employs adaptive threshold based gain function in order to improve convergence rate of the active taps, especially the taps with low magnitude, and appends zero attracting term in the update equation in order to bring the inactive taps to their optimum zero level. However, as the UT-ZA-PNLMS algorithm uses uniform shrinkage for that zero attraction, the active taps experience significant bias which limits overall steady-state performance. In this paper, we introduce selective shrinkage for the zero attracting term so that the inactive taps get strong attractive force whereas the active taps would experience negligibly small attractive force, and thus the bias in the active tap is reduced. In particular, we propose three different algorithms incorporating log-sum, $ell_{p^{-}}$ norm and $ell_{0}$-norm penalties to the cost function of the upper threshold based PNLMS algorithm. The resulting algorithms are studied extensively and the simulation results show their improved steady-state performances.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"318 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134262498","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

PhaseSense — Signal Reconstruction from Phase-Only Measurements via Quadratic Programming 相位感知-信号重建从相位测量通过二次规划

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179523

Vinith Kishore, Subhadip Mukherjee, C. Seelamantula

{"title":"PhaseSense — Signal Reconstruction from Phase-Only Measurements via Quadratic Programming","authors":"Vinith Kishore, Subhadip Mukherjee, C. Seelamantula","doi":"10.1109/SPCOM50965.2020.9179523","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179523","url":null,"abstract":"We consider the problem of reconstructing a complex-valued signal from its phase-only measurements. This framework can be considered as a generalization of the well-known one-bit compressed sensing paradigm where the underlying signal is known to be sparse. In contrast, the proposed formalism does not rely on the assumption of sparsity and hence applies to a broader class of signals. The optimization problem for signal reconstruction is formulated by first splitting the linear measurement vector into its phase and magnitude components and subsequently using the non-negativity property of the magnitude component as a constraint. The resulting optimization problem turns out to be a quadratic program (QP) and is solved using two algorithms: (i) alternating directions method of multipliers; and (ii) projected gradient-descent with Nesterov’s momentum. Due to the inherent scale ambiguity of the phase-only measurement, the underlying signal can be reconstructed only up to a global scale-factor. We obtain high accuracy for reconstructing 1–D synthetic signals in the absence of noise. We also show an application of the proposed approach in reconstructing images from the phase of their measurement coefficients. The underlying image is recovered up to a peak signal-to-noise ratio exceeding 30 dB in several examples, indicating an accurate reconstruction.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133439124","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

On Impact of Imperfect CSI over SWIPT Device-to-Device (D2D) MIMO Relay Systems 不完善的CSI对SWIPT设备对设备(D2D) MIMO中继系统的影响

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179633

Parvez Shaik, P. Singya, Nagendra Kumar, Kamal K. Garg, V. Bhatia

{"title":"On Impact of Imperfect CSI over SWIPT Device-to-Device (D2D) MIMO Relay Systems","authors":"Parvez Shaik, P. Singya, Nagendra Kumar, Kamal K. Garg, V. Bhatia","doi":"10.1109/SPCOM50965.2020.9179633","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179633","url":null,"abstract":"Simultaneous wireless information and power transfer (SWIPT) is an efficient solution for the power scarce wireless communications. In this paper, we consider a relay assisted multi-input and multi-output (MIMO) device-to-device (D2D) communications with a practical scenario of imperfect channel state information (CSI) over a generalized Nakagami-m fading channels. Further, at the relay node, energy from the received radio-frequency (RF) signals is harvested by adopting time-switch (TS) protocol for broadcasting a signal to the destination. In a resource limited environment, it is deterrent to use all the MIMO antennas due to increased system complexity with the dedicated RF chain for each active antenna. Thus, transmit antenna selection strategy (TAS) is considered in this work. Framework for the outage probability and asymptotic outage probability of TAS based MIMO D2D relay system is provided. It is observed that the diversity order of the system gets affected with small variation in imperfect CSI correlation coefficient and throughput of the system gets affected severely with increasing rates with imperfect CSI. Further, Monte-Carlo simulations are performed to validate the derived analytical expressions.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128991829","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: 10

Effectiveness of Transfer Learning on Singing Voice Conversion in the Presence of Background Music 背景音乐下迁移学习对歌唱声音转换的影响

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179583

Divyesh G. Rajpura, Jui Shah, Maitreya Patel, Harshit Malaviya, K. Phatnani, H. Patil

{"title":"Effectiveness of Transfer Learning on Singing Voice Conversion in the Presence of Background Music","authors":"Divyesh G. Rajpura, Jui Shah, Maitreya Patel, Harshit Malaviya, K. Phatnani, H. Patil","doi":"10.1109/SPCOM50965.2020.9179583","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179583","url":null,"abstract":"Singing voice conversion (SVC) is a task of converting the perception of the source speaker’s identity to the target speaker without changing lyrics and rhythm. Recent approaches in traditional voice conversion involve the use of the generative models, such as Variational Autoencoders (VAE), and Generative Adversarial Networks (GANs). However, in the case of SVC, GANs are not explored much. The only system that has been proposed in the literature uses traditional GAN on the parallel data. The parallel data collection for real scenarios (with the same background music) is not feasible. Moreover, in the presence of background music, SVC is one of the most challenging tasks as it involves the source separation of vocals from the inputs, which will have some noise. Therefore, in this paper, we propose transfer learning, and fine-tuning-based Cycle consistent GAN (CycleGAN) model for non-parallel SVC, where music source separation is done using Deep Attractor Network (DANet). We designed seven different possible systems to identify the best possible combination of transfer learning and fine-tuning. Here, we use a more challenging database, MUSDB18, as our primary dataset, and we also use the NUS-48E database to pre-train CycleGAN. We perform extensive analysis via objective and subjective measures and report that with a 4.14 MOS score out of 5 for naturalness, the CycleGAN model pre-trained on NUS-48E corpus performs the best compared to the other systems described in the paper.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129005201","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: 5

A ‘Complete Blind’ No-Reference Stereoscopic Image Quality Assessment Algorithm 一种“完全盲”无参考立体图像质量评估算法

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179556

Balasubramanyam Appina

引用次数: 4

Dynamic Subarray Beamforming for Angular Superresolution of Coherent Targets 相干目标角超分辨的动态子阵列波束形成

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179526

M. Sivasankar, R. Hegde

引用次数: 1

Towards Emotion Independent Language Identification System 面向情感独立语言识别系统

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179550

P. Jain, K. Gurugubelli, A. Vuppala

{"title":"Towards Emotion Independent Language Identification System","authors":"P. Jain, K. Gurugubelli, A. Vuppala","doi":"10.1109/SPCOM50965.2020.9179550","DOIUrl":"https://doi.org/10.1109/SPCOM50965.2020.9179550","url":null,"abstract":"Language Identification (LID) is an integral part of multilingual speech systems. There are various conditions under which the performance of LID systems are sub-optimal, such as short duration, noise, channel variation, and so on. There has been effort to improve performance under these conditions, but the impact of speaker emotion variation on the performance of LID systems has not been studied. It is observed that the performance of LID systems degrade in the presence of emotional mismatch between train and test conditions. To that effect, we investigated adaptation approaches for improving the performance of LID systems by incorporating emotional utterances in form of adaptation dataset. Hence, we studied a prosody modification technique called Flexible Analysis Synthesis Tool (FAST) to vary the emotional characteristics of an utterance in order to improve the performance, but the results were inconsistent and not satisfactory. In this work, we propose a combination of Recurrent Convolutional Neural Network (RCNN) based architecture with multi stage training methodology, which outperformed state-ofart LID systems such as i-vectors, time delay neural network, long short term memory, and deep neural network x-vector.","PeriodicalId":208527,"journal":{"name":"2020 International Conference on Signal Processing and Communications (SPCOM)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121190203","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

Joint User Scheduling, and Precoding for Multicast Spectral Efficiency in Multigroup Multicast Systems 多组组播系统中联合用户调度和预编码对组播频谱效率的影响

2020 International Conference on Signal Processing and Communications (SPCOM) Pub Date : 2020-07-01 DOI: 10.1109/SPCOM50965.2020.9179596

Ashok Bandi, R. B. S. Mysore, S. Chatzinotas, B. Ottersten

引用次数: 2