There are overshoot and undershoot phenomenon and end swing phenomenon in the cubic spline fitting in Hil- bert-Huang transform. The two problems influence data quality of the empirical mode decomposition seriously. T...There are overshoot and undershoot phenomenon and end swing phenomenon in the cubic spline fitting in Hil- bert-Huang transform. The two problems influence data quality of the empirical mode decomposition seriously. The cubic spline fitting has been analysed, and the causes of producing the overshoot and undershoot phenomenon and the end swing phenomenon have been pointed out in this paper. Two new methods of cubic spline fitting and sine spline fitting and the new technique of handling the end points of the original data curve can completely re- move the overshoot and undershoot phenomenon and the end swing phenomenon on the condition of unchanging original data, and have the advantages of the continuous fitting functions and its continuous one order derivative, the simple and convenient calculations, the small calculation amount and the easy work on it.展开更多
Sprouted potatoes are not allowed for healthy diet.A good knowledge of the sprouting stage of potatoes can help manage the storage conditions and guide market distribution,thus enabling the quality assurance of potato...Sprouted potatoes are not allowed for healthy diet.A good knowledge of the sprouting stage of potatoes can help manage the storage conditions and guide market distribution,thus enabling the quality assurance of potatoes on table.This article presented an intelligent method for precautionary analysis of potato eyes based on hyperspectral imaging technique.Potential potato eyes were classified into two categories according to the time gap to the sprouting date,i.e.by-sprouting and pre-sprouting potato eyes,representing eyes about to sprout and eyes that will take a while to sprout.Features used for classification were extracted by two methods,including successive projections algorithm(SPA)and a newly-developed sine fit algorithm(SFA).Then classifiers of fisher discriminant analysis(FDA)and least square support vector machine(LSSVM)were utilized for classification of potential sprouting potato eyes.Results showed that FDA was more effective than LSSVM in classifying pre-sprouting and by-sprouting potato eyes,and SFA performed well in FDA classifier with the recognition accuracy of 95.3%for prediction set.It is concluded that hyperspectral imaging has the potential for predicting the sprouting stages of potato eyes.展开更多
基金The Foundation Research and Development Programs of China (2004CB418404).
文摘There are overshoot and undershoot phenomenon and end swing phenomenon in the cubic spline fitting in Hil- bert-Huang transform. The two problems influence data quality of the empirical mode decomposition seriously. The cubic spline fitting has been analysed, and the causes of producing the overshoot and undershoot phenomenon and the end swing phenomenon have been pointed out in this paper. Two new methods of cubic spline fitting and sine spline fitting and the new technique of handling the end points of the original data curve can completely re- move the overshoot and undershoot phenomenon and the end swing phenomenon on the condition of unchanging original data, and have the advantages of the continuous fitting functions and its continuous one order derivative, the simple and convenient calculations, the small calculation amount and the easy work on it.
基金supported by the National Key Research and Development Plan of China(2016YFD0701603).
文摘Sprouted potatoes are not allowed for healthy diet.A good knowledge of the sprouting stage of potatoes can help manage the storage conditions and guide market distribution,thus enabling the quality assurance of potatoes on table.This article presented an intelligent method for precautionary analysis of potato eyes based on hyperspectral imaging technique.Potential potato eyes were classified into two categories according to the time gap to the sprouting date,i.e.by-sprouting and pre-sprouting potato eyes,representing eyes about to sprout and eyes that will take a while to sprout.Features used for classification were extracted by two methods,including successive projections algorithm(SPA)and a newly-developed sine fit algorithm(SFA).Then classifiers of fisher discriminant analysis(FDA)and least square support vector machine(LSSVM)were utilized for classification of potential sprouting potato eyes.Results showed that FDA was more effective than LSSVM in classifying pre-sprouting and by-sprouting potato eyes,and SFA performed well in FDA classifier with the recognition accuracy of 95.3%for prediction set.It is concluded that hyperspectral imaging has the potential for predicting the sprouting stages of potato eyes.
