本帖最后由 wanglei_86 于 2010-5-12 10:48 编辑 $ j; x2 L6 F9 c6 q) }% ^ * E- {& w B Z: y" N& J欢迎大家一起研究S变换0 q- E7 A6 g' K
2 j* @" D# n9 G! T' O9 S7 l- `) CA new approach to voltage sag detection based on wavelet transform.pdf ! v7 e% ]+ s# g6 b9 e, K1 h: s& U5 ?2 `6 b# d/ Y, w- L- `! ^
An expert system based on S-transform and neural network for automatic classification of power quality disturbances.pdf 8 e2 l) W1 j5 d, `6 p ' ?0 s; L0 y& @- vDetection and classification of power quality disturbances using S-transform and modular neural network.pdf; {4 Q) y6 Z2 z- D
5 N- }1 r# y" g, {( q6 UIEEE Recommended Practice for Monitoring Electric Power Quality.pdf ' s: K4 t1 X1 [1 `. u / |$ R! V6 g$ X9 RLocalization of the Complex SpectrumThe S Transform.pdf . V+ k' s: f3 T3 I 2 O H/ f" P8 i N4 ` b3 G* zPattern recognition of power signal disturbances using S Transform and TT Transfom.pdf, A$ h* y: d; R+ t
. M% f0 d* ]. P+ n- d4 Z {8 V; i
Power quality disturbance classification utilizing S-transform and binary feature matrix method.pdf 6 ?5 g6 s( }7 |, p9 p5 U/ |' H8 }5 r& \9 {0 Q
Rule based system for power quality disturbance classification incorporating S-transform features.pdf7 S( v2 n: w3 a! S3 U1 G
9 i O. D0 c" `) k6 O3 k% L
Short duration disturbance classifying based on S-transform maximum similarity.pdf