˶ŶкӱʡϢصʵңҪԹҵԶҵŷƵȷоĿǰоԱ9ˣΪ˶ʿѧְƽṹ(3ˡ2ˡʦ4)
ŶӸˣ׳ϢѧԺ Ժʿ/ڣԶרҵʦ
ŶӳԱҦ(˶ʿ/)Ӣ(ʿ/)(ʿ/ʦ)ʤ(/)Ԭ(˶ʿ/ʦ)Ϧ(ʿ/ʦ)ﱦ(ʿ/ʦ)(ʿ/ʦ)
ҪеĿ
ɹתУ
ĿǰŶӺɽܿƼɷ˾ɽºܿƼ˾еĺרת˿ƼԱɳ
Ŀģ
ר
ר |
ר |
ר |
ר |
һԶ滮·װ |
ר |
Ԭ |
ZL 2021 1 1225450.7 |
һֻʶռϵͳ |
ʵ |
Ԭ |
ZL202121493142.8 |
һֻNOMAϵͳĶûⷽ |
ר |
׳ |
2021/07973 |
һֱڰװķܿ |
ʵ |
|
ZL202120595896.8 |
һְӹϴװ |
ʵ |
|
ZL 202022040859.9 |
һֻ˿װ÷ṹ |
ʵ |
ﱦ |
2021101854 |
ҳǣװװװ |
ʵ |
ﱦ |
ZL 2020 2 0739126.1 |
һܻװ |
ר |
|
ZL 2020 2 0522859.X |
ܳ豸Զװ |
ʵ |
Ԭ |
ZL201620151980.X |
һܿŷλװװ |
ʵ |
Ԭ |
Zl202121005077.X |
ˣ׳
ϵ绰180362566961
ַT0499@tsc.edu.cn
λϢɽѧԺϢѧԺ
ַɽдѧ11
оŶ
оŶкӱʡϢصʵҡɽ˶ϵͳصʵҺɽṹصʵңҪ¹ͨżͨоĿǰоԱ5ˣְƽṹ(1ˡ3ˡʦ1)
ŶӸˣϢѧԺ Ժʿ/ڡ
ŶӳԱ(ʿ/)(ʿ/)(ʿ/)ʯ(ʿ/ʦ)
Ŀ
Ŀ |
Ŀ |
Դ |
|
(Ԫ) |
չ |
ZD2021409 |
ṹ˱ӹƫ˲о |
ӱʡ |
|
10 |
|
C20221067 |
ɹӾƫ˲о |
ӱʡ |
|
1 |
|
A202110009 |
ڽӾ˳ƫ˲о |
ɽ |
|
5 |
|
22130216G |
ɽṹӾ˳ƫ˲о |
ɽпƼ |
|
10 |
|
F2018105036 |
ģʽ˷Ŵģȫ̹Ӵ϶˵о |
ӱʡȻѧί |
|
4 |
ѽ |
BJ2017108 |
ģȫ̹Ӵ϶Ʊؼо |
ӱʡ |
|
8 |
ѽ |
F2019105108 |
Ӿƫ˲о |
ӱʡȻѧί |
|
10 |
ѽ |
17130257a |
ڱӹЧӦĹӾƫ˲о |
ɽпƼĿ |
|
0 |
ѽ |
Zc2021033 |
Ӿ˴ų |
ӱʡ |
|
0 |
ѽ |
22130223G |
ʯīϩ϶ƲDSPRӾо |
ɽпƼ |
|
5 |
|
19130220g |
öIJӾ˴о |
ɽпƼ |
|
0 |
|
ר
ˣ
ϵ绰15512048666
ַwangchao_198504@sina.com
λϢɽѧԺϢѧԺ
ַɽдѧ11
5G+ϢŶ
5G+ϢŶкӱʡϢصʵңҪԹũҵϢȷоĿǰоԱ8ˣְƽṹ(5ˣʦ3)
ŶӸˣ ΰ֧ǣʿ/ڣͨŹרҵ
ŶӳԱ(˶ʿ/)һ(˶ʿ/)(ʿ/)(˶ʿ/)(˶ʿ/ʦ)(ʿ/ʦ)ʯ(ʿ/ʦ)
еĿ
ɹתУ
ĿǰŶӺɽԴƼ˾ӱݵӹ˾ȹ˾еĺרת˿ƼԱɳ
Ŀ
|
һ |
/ |
/ļ |
¼ |
Research on improved multiple users detection algorithm in pattern division multiple access system |
ΰ |
2023-03-01 |
DIGITAL SIGNAL PROCESSING |
SCI |
A mathematical model of PCNN for image fusion with non-sampled contourlet transform |
|
2022-05-20 |
Applied Mathematics and Nonlinear Sciences |
EI(JA) |
VMD-SVD-MSRģ͵ӣƷϢ |
|
2022-05-20 |
ɽѧԺѧ |
|
ͼںϼ“ýγ”еĽѧӦ |
|
2022-04-25 |
Ӳ |
|
⼼“ýγ”еĽѧӦ |
|
2022-04-15 |
Ӳ |
|
“ͼ”ۺʵѧĸ봴 —·ѷͼǿΪ |
|
2022-02-15 |
|
|
Performance analysis of PDMA-based hybrid satellite–terrestrial networks with decode-and-forward relaying |
|
2022-01-29 |
Physical Communication |
SCI |
С“ͼ”еĽѧӦ |
|
2022-01-15 |
|
|
¹ͨŹרҵʵѧĸо |
ΰ |
2021-11-30 |
ɽѧԺѧ |
|
¹Ƶġͨԭγ̸ĸ̽ʵ |
ΰ |
2021-11-11 |
ִũƼ |
|
źŴѧʾϵͳ |
|
2021-11-01 |
ɽѧԺѧ |
|
Ӧϡֽʶ㷨 |
һ |
2021-06-01 |
Ӧ |
ͨ |
ֲĽгλܼ㷨 |
һ |
2021-02-11 |
е |
ͨ |
ͨԭγ˼ѧ |
ΰ |
2021-01-02 |
|
|
An Image Reconstruction Model under Poisson Noise Using multiscale Compressed Sensing |
|
2020-09-24 |
INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING |
EI(JA) |
An Image Fusion Algorithm based on Modified Contourlet Transform |
|
2020-07-01 |
INTERNATIONAL JOURNAL OF CIRCUITS, SYSTEMS AND SIGNAL PROCESSING |
EI(JA) |
Activation Detection Algorithms for Pattern Division Multiple Access Uplink Grant-free Transmission |
ΰ |
2020-06-21 |
Journal of Physics Conferences Series |
EI(CA) |
The Design of Receiver with Low Complexity for PDMA System |
ΰ |
2020-06-21 |
Journal of Physics |
EI(CA) |
Design of MIMO-PDMA in 5G mobile communication system |
ΰ |
2020-01-13 |
IET Communications |
SCI |
KNN㷨ָڶλо |
|
2019-11-15 |
|
|
Amorphous㷨ڽڵ㶨λо |
|
2019-08-05 |
ǵý |
|
Grid connection technique based on μ theory for a two-stage PV structure |
ΰ |
2019-06-10 |
IET Power Electronics |
SCI |
GPS˳ϵͳ |
|
2019-05-01 |
ɽѧԺѧ |
|
ר
ר |
ר |
ר |
ר |
һ﮵صԶͨϢϵͳ |
ר |
ΰ |
ZL202010680528.3 |
һֻڷַ·Ӧŷ |
ר |
ΰ |
ZL 2021 1 0555340.0 |
һֶ̬ͨصķϵͳ |
ר |
ΰ |
ZL202010678455.4 |
һͨDZԶװ |
ר |
|
ZL201911228753.7 |
һƻͨѶ |
ʵ |
|
ZL202022810073.0 |
һֵԶ豸ڲṹ |
ʵ |
һ |
ZL202021305313.5 |
һͨŻվɢװ |
ʵ |
ΰ |
ZL202021259979.1 |
һͨʩȫװ |
ר |
|
ZL201911358239.5 |
һִֻ֧ܵ |
ʵ |
ΰ |
ZL202021212213.3 |
һͨѶ÷ |
ʵ |
ΰ |
ZL201922183418.1 |
ˣΰ
ϵ绰18633392176
λϢɽѧԺϢѧԺ
ַɽдѧ11
ܼŶ
ܼŶɽܴؼŶӣҪܴƼɽӦõȷоŶӳԱ15ˣְƽṹ(ְ3ˣְ6ˣмְ6)
ŶӸˣ˶ʿ/
ŶӳԱ׳(ʿ/)(ʿ/)(˶ʿ/ʦ)Ԭ(˶ʿ/ʦ)Ҧ(˶ʿ/)(ʿ/ʦ)ΰ(ʿ/)壨ʿ/ʵʦ)ҫ(˶ʿ/)(˶ʿ/ʦ)ī(˶ʿ/ʦ)Ѧ(˶ʿ/ʦ)ﱦ(ʿ/ʦ)(˶ʿ/ʵʦ)
еĿ
Ŀ |
Ŀ |
Դ |
|
չ |
SZX2020041 |
ӱʡϢصʵ |
ӱʡƼ |
׳ |
|
20140202C |
̼ƺӻϵͳؼо |
ɽпƼ |
Ԭ |
|
|
Դ˾ȹ¯Ŀ |
|
|
|
201808005 |
ɽֲˮһ廯оʾ |
ӱʡƼƻ |
|
|
ZC2022048 |
ʽŷо |
ӱʡߵѧУѧоĿ |
|
|
20130227b |
ְĿŻо |
ɽпƼ |
ﱦ |
|
22130205H |
ڳƶ˵ĿȹƷо |
ɽпƼ |
|
|
ģ
|
һ |
/ |
/ļ |
¼ |
Finite?time tracking control of vibration displacement for continuous casting mold with control saturation |
׳ |
2022.1 |
Journal of the Brazilian Society of Mechanical Sciences and Engineering |
SCI |
PDR-Net Progressive depth reconstruction network for color guided |
|
2022.1 |
Neurocomputing |
SCI |
Deformable Enhancement and Adaptive Fusion for Depth Map Super-Resolution |
|
2022.1 |
IEEE SIGNAL PROCESSING LETTERS |
SCI |
Monocular Depth Estimation with Joint Attention Feature Distillation and Wavelet-Based Loss Function |
|
2021.1 |
Sensors |
SCI |
Joint Attention Mechanisms for Monocular Depth Estimation With Multi-Scale Convolutions and Adaptive Weight Adjustment |
|
2020.9 |
IEEE Access |
SCI |
ҵŨˮùʵ |
|
202011 |
йˮˮʵ |
ĺģCSCD |
Quanserƽ̨תڿϵͳоʵ |
|
2021.11 |
ɽѧԺѧ |
|
ר
ר |
ר |
ר |
ר |
Ƶ㷽źŴװ |
ר |
|
ZL202010245333.6 |
һԶʯͿתʽ꾮װ |
ר |
|
ZL202011431058.3 |
Ƶ㲨źŴװ |
ר |
|
ZL202110583972.8 |
һԶ滮·װ |
ר |
Ԭȡ |
ZL202111225450.7 |
һֻתٱʵָ߷ֱתٿƵķ |
ר |
׳ |
ZL202011164930.2 |
һܻװ |
ʵ |
Ԭȡ׳ |
ZL202020522859.X |
ҳǣװװװ |
ʵ |
Ԭȡﱦ |
ZL202020739126.1 |
һֻʶռϵͳ |
ʵ |
Ԭ |
ZL202121493142.8 |
һֿ˫·ңز |
ʵ |
׳ |
ZL202022421641.8 |
һܿŷλװװ |
ʵ |
ﱦ |
ZL202121005077.X |
һֱڰװķܿ |
ʵ |
ﱦ |
ZL202120595896.8 |
һְӹϴװ |
ʵ |
ﱦԬ |
ZL202022040859.9 |
һڿɽ̻ĽԼˮ |
ʵ |
|
ZL201820079080.8 |
ŶĿǰɽƼչ˾ɽºܿƼ˾չŶӺɽƼչ˾˿ƼԱɳ
ŶĿǰɵijɹת
ͬ |
Ŀ |
|
(Ԫ) |
ͬ |
2018033 |
ɽֲˮһ廯оɹת |
|
30 |
ת |
2022157 |
202111225450.7һԶ滮·װáרת |
Ԭ |
0.8 |
רȨת |
ˣ
ϵ绰18903382648
ַdingaihua1308@163.com
λϢɽѧԺϢѧԺ
ַɽдѧ11