{"doi":"10.1109/mwscas.2006.382241","title":"Nonuniform Discrete Short-Time Fourier Transform A Goertzel Filter Bank versus a FIR Filtering Approach","abstract":null,"journal":"2006 49th IEEE International Midwest Symposium on Circuits and Systems","year":2006,"id":657226,"datarank":1.227206442996541,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"self_citation_contribution":0.32958368660043297,"citation_network_contribution":0.897622756396108,"self_endowment_contribution":0.32958368660043297,"citer_contribution":0.897622756396108,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":8,"citers_with_citation_signal":6,"citers_with_endowment":6,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1715670,"name":"Marvi Teixeira","orcid":null,"position":1,"is_corresponding":false},{"id":1715671,"name":"Luis Vicente","orcid":null,"position":2,"is_corresponding":false},{"id":1715672,"name":"Yamil Rodriguez","orcid":null,"position":3,"is_corresponding":false},{"id":1715669,"name":"Miguel A. De Jesus","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Nonuniform Discrete Short-Time Fourier Transform A Goertzel Filter Bank versus a FIR Filtering Approach","abstract":"It is well known that the discrete Short Time Fourier Transform (STFT) can be considered from the perspective of a Discrete Fourier Transform (DFT) taken over short time sections of the signal (the window is fixed) or from the perspective of a filtering operation at a given frequency (the frequency is fixed). We have proposed a mixed approach where the spectrum of each finite short time section of the signal is estimated by realizing a DFT through a bank of IIR Goertzel Filters centered at the specified frequencies. This approach allows computing the time varying spectrum at precisely the frequencies of interest. The Goertzel algorithm can be adjusted to implement the Nonuniform Discrete Fourier Transform (NDFT). Within the NDFT framework the estimation of the spectrum at the desired frequency it is not conditioned to the requirement that the DFT index, k, be an integer. We have termed this implementation of the discrete STFT the \"Nonuniform Discrete Short Time Fourier Transform\" (NSTFT). A MATLAB program was written and validated using this technique, then the methods were compared for different windows size and different number of frequencies of interest, to a MATLAB FIR filtering view implementation.","is_dataset_classified":null,"base_score":2.1972245773362196,"endowment":2.1972245773362196,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19162232","pmcid":null,"openalex_id":"https://openalex.org/W2002136255","authors":[],"funders":[],"total_grants":0,"fwci":0.2709,"citation_percentile":0.43995937,"influential_citations":0,"citation_trend":[{"year":2012,"count":1},{"year":2014,"count":1},{"year":2015,"count":1},{"year":2018,"count":1},{"year":2019,"count":3}],"oa_status":"closed","license":"https://doi.org/10.15223/policy-029","oa_locations":[{"url":"http://xplorestaging.ieee.org/ielx5/4267031/4267246/04267319.pdf?arnumber=4267319","host_type":"publisher"},{"url":"https://doi.org/10.1109/mwscas.2006.382241","host_type":""}],"fields_of_study":["Image and Signal Denoising Methods","Advanced Electrical Measurement Techniques","Blind Source Separation Techniques"],"mesh_terms":[],"keywords":["Short-time Fourier transform","Discrete Fourier transform (general)","Infinite impulse response","Algorithm","Fractional Fourier transform","Non-uniform discrete Fourier transform","Discrete-time Fourier transform","Computer science","Discrete sine transform","Finite impulse response","Fourier transform","Spectral density estimation","Filter (signal processing)","Harmonic wavelet transform","Filter bank","Fast Fourier transform","Mathematics","Digital filter","Fourier analysis","Mathematical analysis","Artificial intelligence","Discrete wavelet transform","Computer vision"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-12T00:17:18.970808Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}