TY - GEN
T1 - An Application of fuzzy hypothesis testing to signal integration
AU - Leung, S. W.
AU - Minett, J. W.
AU - Lee, M. K.
PY - 2000/5
Y1 - 2000/5
N2 - A method of fuzzy likelihood-ratio hypothesis testing is applied to binary signal integration. Imprecise parameters of the distribution under each hypothesis are modeled as fuzzy numbers. The false alarm rate and detection rate are therefore also imprecise. The effects of parameter imprecision on integration performance are examined using an example; the method is applied to envelope detection and integration of fixed amplitude signals in additive white Gaussian noise. For low parameter imprecision, the integration system produces performance which is nearly crisp. However, as parameter imprecision increases significantly, the performance quickly becomes so imprecise that the system may no longer be of practical use. © 2000 IEEE
AB - A method of fuzzy likelihood-ratio hypothesis testing is applied to binary signal integration. Imprecise parameters of the distribution under each hypothesis are modeled as fuzzy numbers. The false alarm rate and detection rate are therefore also imprecise. The effects of parameter imprecision on integration performance are examined using an example; the method is applied to envelope detection and integration of fixed amplitude signals in additive white Gaussian noise. For low parameter imprecision, the integration system produces performance which is nearly crisp. However, as parameter imprecision increases significantly, the performance quickly becomes so imprecise that the system may no longer be of practical use. © 2000 IEEE
UR - https://www.scopus.com/pages/publications/0033715488
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0033715488&origin=recordpage
U2 - 10.1109/FUZZY.2000.838655
DO - 10.1109/FUZZY.2000.838655
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-7803-5877-5
VL - 1
SP - 181
EP - 184
BT - The Ninth IEEE International Conference on Fuzzy Systems
PB - IEEE
T2 - 9th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2000)
Y2 - 7 May 2000 through 10 May 2000
ER -