Browsing by Author "Chen, Sao-Jie"

Now showing 1 - 2 of 2

A Tiling-Scheme Viterbi Decoder in Software Defined Radio for GPUs
(2011)
Lin, Chih-Sheng
;
Liu, Wei-Lun
;
Yeh, Wei-Ting
;
Chang, Li-Wen
;
Hwu, Wen-Mei W.
In this paper, we propose a parallel design of Viterbi decoder for Software-Defined Radio (SDR). Our method implements a divide-and-conquer approach by tiling decoding sequences, performing independent speculated Viterbi decoding, and merging partial candidate paths into the final path. For each independent Viterbi decoding, the best path is selected by calculating Hamming distances trellis-by-trellis in parallel. Our method shows up to 14.6x speedup on an NVIDIA 8800 GTX over a sequential C implementation on a 2.4GHz Intel Core 2 CPU. Also, compared with existing GPU-based implementation in [3], our method outperforms up to 2.5x.
Using Back-Propagation Neural Network for Automatic Wheezing Detection
(2015)
Lin, Bor-Shing
;
Jan, Gene Eu
;
Wu, Huey-Dong
;
Lin, Bor-Shyh
;
Chen, Sao-Jie
This study describes the design of a fast and high performance wheeze recognition system. The proposed wheezing detection algorithm is based on order truncate average (OTA) and back-propagation neural network (BPNN). Some features are then extracted from the processed spectra to train a BPNN. Eventually, the new testing samples go through the trained BPNN to recognize whether they are wheezing sounds. Experimental results show a high sensitivity of 0.946 and a specificity of 1.0 in qualitative analysis of wheeze recognition.