2015 IEEE International Conference on Digital Signal Processing (DSP)最新文献_第3页

RRAM based synaptic devices for neuromorphic visual systems 神经形态视觉系统基于RRAM的突触装置

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252074

Jinfeng Kang, B. Gao, Peng Huang, Lifeng Liu, Xiaoyan Liu, H. Y. Yu, Shimeng Yu, H. Wong

引用次数: 10

Wideband DOA estimation by joint sparse representation under Bayesian learning framework 贝叶斯学习框架下联合稀疏表示的宽带DOA估计

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251894

Lu Wang, Lifan Zhao, G. Bi, C. Wan

引用次数: 3

A new delta operator based IIR lattice filter structure 一种新的基于delta算子的IIR晶格滤波器结构

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251327

Chaogeng Huang, Hong Xu, Yanhong Chen, Hongbo Song, Jing Zhang

引用次数: 2

A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm 核仿射投影算法的可重构并行FPGA加速器

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252008

X. Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren

{"title":"A reconfigurable parallel FPGA accelerator for the kernel affine projection algorithm","authors":"X. Ren, Qihang Yu, Badong Chen, Nanning Zheng, Pengju Ren","doi":"10.1109/ICDSP.2015.7252008","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7252008","url":null,"abstract":"Kernel affine projection algorithm (KAPA) is an efficient online kernel learning method, because it not only inherits the advantages of other kernel adaptive filtering (KAF) algorithms, but also reduces the gradient noise significantly. More importantly, it provides a unifying framework for many KAF algorithms. However, suffering from huge computational load, especially when network size is large, it is not suitable for real-time applications. In order to extend its availability, we design a reconfigurable parallel FPGA accelerator for it. The generally used Gaussian kernel is chosen. Moreover, a novel quantization method is adopted to constrain the network size, so as to further reduce computational load and storage overhead. The proposed accelerator allows multiple input data to be processed simultaneously, accelerating the execution rate. Shift registers are used to record the results of different input data. The codebook and coefficients are updated for each input in sequential order along with the shifting of registers constantly. Finally, the FPGA accelerator with eight datapaths, which works at 100MHz, achieves an average speedup of 404.47 versus C code running on a 3GHz Intel(R) Core(TM) i5-2320 CPU.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124132038","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

Are subtle expressions too sparse to recognize? 微妙的表情太稀疏而无法识别吗?

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7252080

A. Ngo, Sze‐Teng Liong, John See, R. Phan

引用次数: 17

WLS design of centro-symmetric 2-D FIR filters using matrix iterative algorithm 用矩阵迭代算法设计中心对称二维FIR滤波器

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251325

Ruijie Zhao

引用次数: 3

Formant excursion in singing synthesis 歌唱合成中的共振峰偏移

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251852

P. Chan, M. Dong, Yi Qian Lim, A. Toh, E. Chong, Mantita Yeo, Megan Chua, Haizhou Li

引用次数: 4

Runtime techniques for efficient Ray-Tracing on heterogeneous systems 异构系统上高效光线追踪的运行时技术

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251838

Chih-Chen Kao, W. Hsu

{"title":"Runtime techniques for efficient Ray-Tracing on heterogeneous systems","authors":"Chih-Chen Kao, W. Hsu","doi":"10.1109/ICDSP.2015.7251838","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251838","url":null,"abstract":"The prevalence of real time multimedia delivery appliances has led to the developments of a wide variety of efficient architectures and supporting software techniques. Specifically, Ray-Tracing, a well-known physically-based rendering algorithm, has been receiving great attentions in research and development with the evolution of multi-core architecture since massive parallelism is inherent in that application. Unfortunately, the type of computation in Ray-tracing is known as an instance of irregular application which possesses attributes that may vary during execution and are often unpredictable, making it difficult to run efficiently on SIMD/SIMT based GPGPU architectures. For example, the irregularity in such applications may cause control flow divergence, load imbalance and low efficiency in the memory hierarchy of heterogeneous computing systems. To address these issues, researchers have been trying different approaches such as MIMD based homogeneous platform or specific hardware solutions. While these approaches tend to emphasize on dedicated special-purpose hardware configurations, our work illustrates that with appropriate analysis and tuning for irregularity within Ray-Tracing, it is possible to achieve high performance and high efficiency on current heterogeneous systems by applying software-based runtime approach. We studied and proposed phase guided dynamic work partitioning, a light-weight and fast analysis technique, to collect information during program phases at runtime in order to guide work partitioning in subsequent phases for more efficient work dispatching on heterogeneous systems. The experiments have shown that the performance gain of this approach can be as high as 5 times faster than the original system.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779713","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

Emotion recognition based on EMD-Wavelet analysis of speech signals 基于emd -小波分析的语音信号情感识别

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251881

C. Shahnaz, S. Sultana, S. Fattah, R. H. M. Rafi, I. Ahmmed, Weiping Zhu, M. Ahmad

{"title":"Emotion recognition based on EMD-Wavelet analysis of speech signals","authors":"C. Shahnaz, S. Sultana, S. Fattah, R. H. M. Rafi, I. Ahmmed, Weiping Zhu, M. Ahmad","doi":"10.1109/ICDSP.2015.7251881","DOIUrl":"https://doi.org/10.1109/ICDSP.2015.7251881","url":null,"abstract":"In this paper, a speech emotion recognition method is proposed based on wavelet analysis on decomposed speech data obtained via empirical mode decomposition (EMD). Instead of analyzing the given speech signal directly, first the intrinsic mode functions (IMFs) are extracted by using the EMD and then the discrete wavelet transform (DWT) is performed only on the selected dominant IMFs. Both approximate and detail DWT coefficients of the dominant IMF are taken into consideration. It is found that some higher order statistics of these EMD-DWT coefficients corresponding to different emotions exhibit distinguishing characteristics and these statistical parameters are chosen as the desired features. For the purpose of classification, K nearest neighbor (KNN) classifier is employed along with the hierarchical clustering. Extensive simulations are carried out on widely used EMO-DB speech emotion database containing four class emotions, namely angry, happy, sad and neutral. Simulation results show that the proposed EMD-Wavelet based feature can provide quite satisfactory recognition performance with reduced feature dimension.","PeriodicalId":216293,"journal":{"name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243221","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: 7

Novel feature for identification of focal EEG signals with k-Means and fuzzy c-means algorithms 基于k-均值和模糊c-均值算法的病灶脑电信号识别新特征

2015 IEEE International Conference on Digital Signal Processing (DSP) Pub Date : 2015-07-21 DOI: 10.1109/ICDSP.2015.7251904

K. Rai, V. Bajaj, Anil Kumar

引用次数: 18