The invention discloses a gamma energy spectrum set analysis method for deducting a background based on a WTSVD algorithm. The gamma energy spectrum set analysis method comprises the following steps:S1, performing grading according to a wavelet transform adaptive degree; S2, analyzing the time domain and the frequency domain of the wavelet, judging whether artificial nuclide interference exists or not, if yes, entering the step S3, and if not, directly entering the step S4; S3, eliminating data interfered by artificial nuclide, and performing supplementary measurement; S4, constructing a background training matrix Bn * p, and decomposing the wavelet through Mallat; S5, measuring a gamma energy spectrum, and constructing a gamma energy spectrum set S; S6, performing SVD decomposition, namely unitary matrix decomposition, on the background training matrix Bn * p, and extracting a principal component matrix U; and S7, performing noise reduction on the energy spectrum data set S through bit operation based on the principal component matrix U to obtain a noise reduction energy spectrum set D. The influence of artificial nuclide on the background energy spectrum is accurately reduced through wavelet transform analysis.