Decoding latency of the turbo decoder has been a serious problem in real-time processing of communication systems. This paper presents a novel procedure of reducing the latency of the turbo decoder which has been implemented with GPU (Graphic Processing Unit). The main contribution of this paper is to present an efficient procedure of reducing the latency of GPU-based turbo decoder through an efficient parallel processing of maximum a posteriori (MAP). Through experimental tests, we have verified that the proposed turbo decoder reduces the latency from 34,767μs to 273μs per iteration
In this paper, we present two new hardware architectures for Turbo Code decoding that combine functi...
The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently...
This paper gives a general overview of the implementation aspects of turbo decoders. Although the pa...
Parallel implementations of Turbo decoding has been studied extensively. Traditionally, the number o...
This paper presents a 3GPP LTE compliant turbo decoder accelerator on GPU. The challenge of implemen...
Abstract: As a class of high-performance forward error correction codes, turbo codes, which can appr...
In this study, the authors discuss the implementation of a low latency decoding algorithm for turbo ...
This paper compares two implementations of reconfigurable and high-throughput turbo decoders. The fi...
To meet the high throughput requirement of communication systems, the design of high-throughput low-...
Turbo codes comprising a parallel concatenation of upper and lower convolutional codes are widely em...
Turbo codes are error-correcting codes with performance that is close to the Shannon theoretical lim...
© 2017 IEEE. Implementation of an efficient turbo decoder with low complexity, short delay and insig...
This thesis is aimed to implement turbo decoder with various iteratie decoding algorithms, and to co...
The graphics processor unit (GPU) is able to provide a low-cost and flexible software-based multi-co...
As a class of high-performance forward error correction codes, turbo codes, which can approach the c...
In this paper, we present two new hardware architectures for Turbo Code decoding that combine functi...
The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently...
This paper gives a general overview of the implementation aspects of turbo decoders. Although the pa...
Parallel implementations of Turbo decoding has been studied extensively. Traditionally, the number o...
This paper presents a 3GPP LTE compliant turbo decoder accelerator on GPU. The challenge of implemen...
Abstract: As a class of high-performance forward error correction codes, turbo codes, which can appr...
In this study, the authors discuss the implementation of a low latency decoding algorithm for turbo ...
This paper compares two implementations of reconfigurable and high-throughput turbo decoders. The fi...
To meet the high throughput requirement of communication systems, the design of high-throughput low-...
Turbo codes comprising a parallel concatenation of upper and lower convolutional codes are widely em...
Turbo codes are error-correcting codes with performance that is close to the Shannon theoretical lim...
© 2017 IEEE. Implementation of an efficient turbo decoder with low complexity, short delay and insig...
This thesis is aimed to implement turbo decoder with various iteratie decoding algorithms, and to co...
The graphics processor unit (GPU) is able to provide a low-cost and flexible software-based multi-co...
As a class of high-performance forward error correction codes, turbo codes, which can approach the c...
In this paper, we present two new hardware architectures for Turbo Code decoding that combine functi...
The use of many-core processors such as general purpose Graphic Processing Units (GPUs) has recently...
This paper gives a general overview of the implementation aspects of turbo decoders. Although the pa...