Tempo Tracking by Using a Parallel Particle Filter on the GPU
被引:0
|
作者:
Karamatli, Ertug
论文数: 0引用数: 0
h-index: 0
机构:
Bogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, TurkeyBogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, Turkey
Karamatli, Ertug
[1
]
Cemgil, Ali Taylan
论文数: 0引用数: 0
h-index: 0
机构:
Bogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, TurkeyBogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, Turkey
Cemgil, Ali Taylan
[1
]
机构:
[1] Bogazici Univ, Bilgisayar Muhendisligi Bolumu, TR-80815 Bebek, Turkey
来源:
2014 22ND SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU)
|
2014年
关键词:
Particle Filter;
Tempo Tracking;
Graphics Processing Unit;
MONTE-CARLO;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
Recently, using graphics processing unit (GPU) for accelarating applications is becoming very popular and particle filters are no exception. Tempo tracking is one of the basic problems in music processing. In this paper, we present an implementation of the bar pointer model with a particle filter on CUDA. We describe the algorithms used to implement the parallel particle filter. Then, in order to demonstrate the implementation, we create a simulated observation data and run the filter on it. We also give the running times of the application for different number of particles.