The　noise　often　degrades　the　accuracy　and　precision　of　the　results　in　instrument　analysis.　Wavelet　transforms　are　multiresolution　decompositions　that　can　be　used　for　signal　denoising.　In　this　paper,　a　new　wavelet　denoising　method　-　spatial　correlation　filtering　(SCF)　is　proposed　to　processing　chemical　signal.　Based　on　the　fact　that　the　wavelet　coefficients　module　of　signal　and　noise　after　wavelet　decomposition　have　different　characteristics　with　the　wavelet　scale.　Therefore,　directly　comparing　the　spatial　correlation　module　with　the　wavelet　module　at　different　scales　can　reduce　the　noise　contents　from　the　chemical　signal.　SCF　needs　no　denoising　threshold　selection　and　has　the　advantages　of　simplicity,　swiftness　and　little　signal　distortion.　The　simulation　and　inductiveyl　coupled　plasma-atomic　emission　spectroscopy　experiment　results　prove　its　effective.