| 2007 |
|---|
| 11 | EE | Xiaowen Li,
Xinkai Chen,
Xiang Xie,
Guolin Li,
Li Zhang,
Chun Zhang,
Zhihua Wang:
A Low Power, Fully Pipelined JPEG-LS Encoder for Lossless Image Compression.
ICME 2007: 1906-1909 |
| 10 | EE | Xiaowen Li,
Xinkai Chen,
Xiang Xie,
Guolin Li,
Li Zhang,
Zhihua Wang:
Pre-Processing and Vector Quantization Based Approach for CFA Data Compression in Wireless Endoscopy Capsule.
ISBI 2007: 1172-1175 |
| 9 | EE | XiaoWen Li,
Xiang Xie,
Xinkai Chen,
Guolin Li,
Li Zhang,
Zhihua Wang,
Hong Chen:
Design and Implementation of a Low Complexity Near-lossless Image Compression Method for Wireless Endoscopy Capsule System.
ISCAS 2007: 1321-1324 |
| 8 | EE | Xinkai Chen,
Guolin Li,
Xiang Xie,
XiaoWen Li,
Zhihua Wang,
Hong Chen:
A Low Power Digital Baseband for Wireless Endoscope Capsule.
ISCAS 2007: 2355-2358 |
| 7 | EE | Baoyong Chi,
Jinke Yao,
Shuguang Han,
Xiang Xie,
Guolin Li,
Zhihua Wang:
Low power high data rate wireless endoscopy transceiver.
Microelectronics Journal 38(10-11): 1070-1081 (2007) |
| 2006 |
|---|
| 6 | EE | Baoyong Chi,
Jinke Yao,
Shuguang Han,
Xiang Xie,
Guolin Li,
Zhihua Wang:
A 2.4GHz low power wireless transceiver analog front-end for endoscopy capsule system.
ISCAS 2006 |
| 5 | EE | Xiang Xie,
Guolin Li,
Zhihua Wang:
A new VLSI structure for an improved near-lossless color image compression algorithm inside wireless endoscopy capsule.
ISCAS 2006 |
| 2005 |
|---|
| 4 | EE | Xiang Xie,
Guolin Li,
Dongmei Li,
Chun Zhang,
Zhihua Wang:
A new near-lossless image compression algorithm suitable for hardware design in wireless endoscopy system.
ICIP (1) 2005: 1125-1128 |
| 3 | EE | Lu Liu,
Zhihua Wang,
Guolin Li:
Calculation of intermodulation distortion in CMOS transconductance stage.
ISCAS (4) 2005: 3700-3703 |
| 2 | EE | Xiang Xie,
Guolin Li,
Zhihua Wang,
Chun Zhang,
Dongmei Li,
XiaoWen Li:
A novel method of lossy image compression for digital image sensors with Bayer color filter arrays.
ISCAS (5) 2005: 4995-4998 |
| 1 | EE | Zihong Liu,
Zhihua Wang,
Guolin Li,
Zhiping Yu:
A Novel Solid Neuron-Network Chip Based on Both Biological and Artificial Neural Network Theories.
ISNN (1) 2005: 479-484 |
