21st European Signal Processing Conference (EUSIPCO 2013)最新文献_第6页

Adaptive sinusoidal modeling of percussive musical instrument sounds 打击乐器声音的自适应正弦建模

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43434

Marcelo F. Caetano, George P. Kafentzis, A. Mouchtaris, Y. Stylianou

{"title":"Adaptive sinusoidal modeling of percussive musical instrument sounds","authors":"Marcelo F. Caetano, George P. Kafentzis, A. Mouchtaris, Y. Stylianou","doi":"10.5281/ZENODO.43434","DOIUrl":"https://doi.org/10.5281/ZENODO.43434","url":null,"abstract":"Percussive musical instrument sounds figure among the most challenging to model using sinusoids particularly due to the characteristic attack that features a sharp onset and transients. Attack transients present a highly nonstationary inharmonic behaviour that is very difficult to model with traditional sinusoidal models which use slowly varying sinusoids, commonly introducing an artifact known as pre-echo. In this work we use an adaptive sinusoidal model dubbed eaQHM to model percussive sounds from musical instruments such as plucked strings or percussion and investigate how eaQHM handles the sharp onsets and the nonstationary inharmonic nature of the attack transients. We show that adaptation renders a virtually perceptually identical sinusoidal representation of percussive sounds from different musical instruments, improving the Signal to Reconstruction Error Ratio (SRER) obtained with a traditional sinusoidal model. The result of a listening test revealed that the percussive sounds modeled with eaQHM were considered perceptually closer to the original sounds than their traditional-sinusoidal-modeled counterparts. Most listeners reported that they used the attack as cue.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116741517","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

Energy efficiency in MIMO large scale two-tier networks with beamforming and adaptive modulation 具有波束形成和自适应调制的MIMO大规模两层网络的能量效率

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43731

Raul Hernandez-Aquino, D. McLernon, M. Ghogho, Syed Ali Raza Zaidi

引用次数: 5

Facial image clustering in 3D video using constrained Ncut 基于约束Ncut的三维视频人脸图像聚类

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43742

G. Orfanidis, N. Nikolaidis, I. Pitas

引用次数: 5

Event detection in short duration audio using Gaussian Mixture Model and Random Forest Classifier 基于高斯混合模型和随机森林分类器的短时间音频事件检测

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43595

Anurag Kumar, R. Hegde, Rita Singh, B. Raj

引用次数: 11

Leaf segmentation and parallel phenotyping for the analysis of gene networks in plants 植物基因网络的叶片分割与平行表型分析

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43589

Olivier Janssens, Jonas De Vylder, J. Aelterman, S. Verstockt, W. Philips, D. Straeten, S. Hoecke, R. Walle

引用次数: 12

Bandwidth efficient localization for sustainable and safe building environments 带宽高效定位可持续和安全的建筑环境

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43585

A. Kalis, M. Milis, A. Kounoudes, A. Constantinides

{"title":"Bandwidth efficient localization for sustainable and safe building environments","authors":"A. Kalis, M. Milis, A. Kounoudes, A. Constantinides","doi":"10.5281/ZENODO.43585","DOIUrl":"https://doi.org/10.5281/ZENODO.43585","url":null,"abstract":"The objective of this work is to propose the use of innovative low-cost wireless sensor network nodes equipped with smart antennas, so as to meet the goal of creating a sustainable and safe building environment. The proposed wireless sensor network system can provide information on people density within building areas, information that can be used in a number of applications such as energy footprint optimization, predictive maintenance and building safe evacuation. The unique design of the proposed sensor nodes can be supportive to the aforementioned applications by providing people location information and building area usage in a bandwidth efficient way, in order to enable such systems to be integrated into existing low-bandwidth in-building communication systems, such as fire alert and automation networks. Node architecture is based on the use of low-cost and low-complexity switched beam antennas and the use of a localization estimation algorithm based on angle of arrival measurements which, as opposed to popular received signal strength based algorithms, are not affected by the severe multipath environment of indoor communications systems.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127239210","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

Generalized Non-linear Sparse Classifier 广义非线性稀疏分类器

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43381

A. Majumdar, R. Ward, T. Aboulnasr

{"title":"Generalized Non-linear Sparse Classifier","authors":"A. Majumdar, R. Ward, T. Aboulnasr","doi":"10.5281/ZENODO.43381","DOIUrl":"https://doi.org/10.5281/ZENODO.43381","url":null,"abstract":"In a recent study a novel classification algorithm called the Sparse Classifier (SC) assumes that if a test sample belongs to class k then it can be approximately represented by a linear combination of the training samples belonging to k. Good face recognition results were obtained by the SC method. This paper proposes two generalizations of the aforesaid assumption. The first generalization assumes that the test sample raised to a power can be approximated by a linear combination of the training samples of that class raised to the same powers. The second generalization assumes that the test samples raised to a power can be approximately represented by a non-linear combination of the training samples raised to the same power. The first generalization requires solving a group-sparse optimization problem with linear constraints while the second assumption requires solving a group-sparse optimization problem with non-linear constraints. We propose two greedy sub-optimal algorithms to solve the said problems. The classifiers developed in this work are used for single-image-per-person face recognition. We find that our first generalization leads to an improvement of 2-3% in recognition accuracy over SC, while the second generalization improves the recognition accuracy even further; about 6-7% better than the first generalization.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878090","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 game-theoretic analysis of content-adaptive steganography with independent embedding 独立嵌入的内容自适应隐写博弈论分析

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43653

Pascal Schöttle, Aron Laszka, Benjamin Johnson, Jens Grossklags, Rainer Böhme

{"title":"A game-theoretic analysis of content-adaptive steganography with independent embedding","authors":"Pascal Schöttle, Aron Laszka, Benjamin Johnson, Jens Grossklags, Rainer Böhme","doi":"10.5281/ZENODO.43653","DOIUrl":"https://doi.org/10.5281/ZENODO.43653","url":null,"abstract":"We provide a game-theoretic analysis of a scenario from the field of content-adaptive steganography. Alice, a steganographer, wants to embed a secret message into a random binary sequence with a known distribution in which the value of each position is independently but non-identically distributed. Eve, a steganalyst, observes the sequence and wants to determine whether it contains a hidden message. Alice is allowed to flip binary values independently at random, with the constraint that the expected number of changes is a fixed constant. Eve may choose to classify each sequence as either unmodified (cover) or modified (stego). The payoff for Eve in the game is the probability that her classification is correct; and the payoff for Alice is the probability that Eve's classification is incorrect, so that the game is constant-sum. We show that Eve's best response strategy in this game can be expressed as a linear aggregation threshold formula similar to those used in practical steganalysis. We give a general formula for Alice's best response strategy; and we compute explicit pure strategy equilibria for the special case of changing one bit in a length-two sequence.","PeriodicalId":400766,"journal":{"name":"21st European Signal Processing Conference (EUSIPCO 2013)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132660060","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: 13

Analysis of textural features for face biometric anti-spoofing 人脸生物识别抗欺骗的纹理特征分析

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43537

Muhammad-Adeel Waris, Honglei Zhang, I. Ahmad, S. Kiranyaz, M. Gabbouj

引用次数: 16

Improved amr wideband error concealment for mobile communications 改进了移动通信的amr宽带错误隐藏

21st European Signal Processing Conference (EUSIPCO 2013) Pub Date : 2013-09-09 DOI: 10.5281/ZENODO.43321

Sai Han, Florian Pflug, T. Fingscheidt

引用次数: 7