2019 National Conference on Communications (NCC)最新文献_第3页

Conditions for Optimality of Superposition Coding in Discrete Memoryless Broadcast Channels 离散无记忆广播信道中叠加编码的最优性条件

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732209

Harikumar Krishnamurthy, Parikshit Hegde, A. Thangaraj

引用次数: 0

Probability Mass Functions for which Sources have the Maximum Minimum Expected Length 源具有最大最小期望长度的概率质量函数

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732264

Shivkumar K. Manickam

引用次数: 0

Channels with Action Dependent States and Common Reconstructions 具有动作依赖状态的通道及其共同重构

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732230

Viswanathan Ramachandran, S. R. Pillai, V. Prabhakaran

{"title":"Channels with Action Dependent States and Common Reconstructions","authors":"Viswanathan Ramachandran, S. R. Pillai, V. Prabhakaran","doi":"10.1109/NCC.2019.8732230","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732230","url":null,"abstract":"In channels with action dependent states, a common message is conveyed using two encoders operating sequentially, viz. an action encoder and a channel encoder. The actions drive the output of a discrete-memoryless channel (DMC), which in turn forms the state process for the DMC between the channel encoder and receiver. Assuming non-causal knowledge of the state-process at the channel encoder, a single letter characterization of the capacity is known in the discrete memoryless case. We consider the action dependent state channel with a common message and an additional private message at the channel encoder, along with common reconstructions (CR) of the state process at the channel encoder and the decoder. Capacity characterizations for the discrete memoryless and Gaussian versions are presented. As a consequence, we settle the capacity characterization of the Gaussian action dependent channel with only a common message and CR. Moreover, by identifying a connection to degraded message sets multiple access channel (deg-MAC) models studied in literature, we establish the capacity regions for the discrete and Gaussian versions of deg-MAC with CR constraints.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"168 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83532131","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

Signal design and detection algorithms for quick detection under false alarm rate constraints 虚警率约束下快速检测的信号设计与检测算法

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732228

Alamuru Pavan Kumar, B. S. Vineeth

引用次数: 0

Power Domain NOMA Design Based on MBER Criterion 基于MBER准则的功率域NOMA设计

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732248

A. Dutta

引用次数: 4

Data-pooling and multi-task learning for enhanced performance of speech recognition systems in multiple low resourced languages 基于数据池和多任务学习的低资源语言语音识别系统性能提升

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732237

A. Madhavaraj, A. Ramakrishnan

{"title":"Data-pooling and multi-task learning for enhanced performance of speech recognition systems in multiple low resourced languages","authors":"A. Madhavaraj, A. Ramakrishnan","doi":"10.1109/NCC.2019.8732237","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732237","url":null,"abstract":"We present two approaches to improve the performance of automatic speech recognition (ASR) systems for Gujarati, Tamil and Telugu. In the first approach using data-pooling with phone mapping (DP-PM), a deep neural network (DNN) is trained to predict the senones for the target language; then we use the feature vectors and their alignments from other source languages to map the phones from the source to the target language. The lexicons of the source languages are then modified using this phone mapping and an ASR system for the target language is trained using both the target and the modified source data. This DP-PM approach gives relative improvements in word error rates (WER) of 5.1% for Gujarati, 3.1% for Tamil and 3.4% for Telugu, over the corresponding baseline figures. In the second approach using multi-task DNN (MT-DNN) modeling, we use feature vectors from all the languages and train a DNN with three output layers, each predicting the senones of one of the languages. Objective functions of the output layers are modified such that during training, only those DNN layers responsible for predicting the senones of a language are updated, if the feature vector belongs to that language. This MT-DNN approach achieves relative improvements in WER of 5.7%, 3.3% and 5.2% for Gujarati, Tamil and Telugu, respectively.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"118 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90259290","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: 6

Outage Analysis of an Asymmetric dual hop PLC-VLC system for Indoor Broadcasting 非对称双跳PLC-VLC室内广播系统的中断分析

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732211

Manan Jani, P. Garg, Akash Gupta

引用次数: 2

Full-Reference Video Quality Assessment Using Deep 3D Convolutional Neural Networks 使用深度3D卷积神经网络的全参考视频质量评估

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732265

D. V. S. Reddy, Gokul Krishnappa, Sumohana S. Channappayya

{"title":"Full-Reference Video Quality Assessment Using Deep 3D Convolutional Neural Networks","authors":"D. V. S. Reddy, Gokul Krishnappa, Sumohana S. Channappayya","doi":"10.1109/NCC.2019.8732265","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732265","url":null,"abstract":"We present a novel framework called Deep Video QUality Evaluator (DeepVQUE) for full-reference video quality assessment (FRVQA) using deep 3D convolutional neural networks (3D ConvNets). DeepVQUE is a complementary framework to traditional handcrafted feature based methods in that it uses deep 3D ConvNet models for feature extraction. 3D ConvNets are capable of extracting spatio-temporal features of the video which are vital for video quality assessment (VQA). Most of the existing FRVQA approaches operate on spatial and temporal domains independently followed by pooling, and often ignore the crucial spatio-temporal relationship of intensities in natural videos. In this work, we pay special attention to the contribution of spatio-temporal dependencies in natural videos to quality assessment. Specifically, the proposed approach estimates the spatio-temporal quality of a video with respect to its pristine version by applying commonly used distance measures such as the l1 or the l2 norm to the volume-wise pristine and distorted 3D ConvNet features. Spatial quality is estimated using off-the-shelf full-reference image quality assessment (FRIQA) methods. Overall video quality is estimated using support vector regression (SVR) applied to the spatio-temporal and spatial quality estimates. Additionally, we illustrate the ability of the proposed approach to localize distortions in space and time.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"55 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85682478","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

Differential Phase Encoding Scheme for Measurement-Device-Independent Quantum Key Distribution 测量设备无关量子密钥分配的差分相位编码方案

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732260

S. Ranu, A. Prabhakar, Prabha Mandayam

{"title":"Differential Phase Encoding Scheme for Measurement-Device-Independent Quantum Key Distribution","authors":"S. Ranu, A. Prabhakar, Prabha Mandayam","doi":"10.1109/NCC.2019.8732260","DOIUrl":"https://doi.org/10.1109/NCC.2019.8732260","url":null,"abstract":"This paper proposes a measurement-device-independent quantum key distribution (MDI-QKD) scheme based on differential phase encoding. The differential phase shift MDI-QKD (DPS-MDI-QKD) couples the advantages of DPS-QKD with that of MDI-QKD. The proposed scheme offers resistance against photon number splitting attack and phase fluctuations as well as immunity against detector side-channel vulnerabilities. The design proposed in this paper uses weak coherent pulses in a superposition of three orthogonal states, corresponding to one of three distinct paths in a delay-line interferometer. The classical bit information is encoded in the phase difference between pulses traversing successive paths. This 3-pulse superposition offers enhanced security compared to using a train of pulses by decreasing the learning rate of an eavesdropper and unmasking her presence with an increased error rate upon application of intercept and resend attack and beamsplitter attack. The proposed scheme employs phase locking of the sources of the two trusted parties so as to maintain the coherence between their optical signal, and uses a beamsplitter (BS) at the untrusted node (Charlie) to extract the key information from the phase encoded signals.","PeriodicalId":6870,"journal":{"name":"2019 National Conference on Communications (NCC)","volume":"62 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73560506","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

Error performance of QAM GFDM waveform with CFO under AWGN and TWDP fading channel AWGN和TWDP衰落信道下带CFO的QAM GFDM波形误差性能研究

2019 National Conference on Communications (NCC) Pub Date : 2019-02-01 DOI: 10.1109/NCC.2019.8732207

Sapta Girish Neelam, P. R. Sahu

引用次数: 5