{"ID":2836529,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2511.21615","arxiv_id":"2511.21615","title":"SIR Analysis for Affine Filter Bank Modulation","abstract":"The signal-to-interference ratio (SIR) of the Affine Filter Bank Modulation (AFBM) waveform is analyzed under minimum mean square error (MMSE) equalization in two domains; namely, the affine domain and the filtered time-domain (TD). Due to the incorporation of the discrete affine Fourier transform (DAFT) and despreading/mapping, an interesting and counter-intuitive cancellation of the unwanted combination of the channel induced interference with the orthogonality approximation error is seen in the filtered TD, a process which does not occur in the affine domain. The direct impact on bit error rate (BER) provides a thorough validation of the proposed analysis and explains the substantial gains in performance of the filtered TD detection scheme as opposed to its affine domain equivalent","short_abstract":"The signal-to-interference ratio (SIR) of the Affine Filter Bank Modulation (AFBM) waveform is analyzed under minimum mean square error (MMSE) equalization in two domains; namely, the affine domain and the filtered time-domain (TD). Due to the incorporation of the discrete affine Fourier transform (DAFT) and despreadin...","url_abs":"https://arxiv.org/abs/2511.21615","url_pdf":"https://arxiv.org/pdf/2511.21615v1","authors":"[\"Henrique L. Senger\",\"Gustavo P. Gonçalves\",\"Bruno S. Chang\",\"Hyeon Seok Rou\",\"Kuranage Roche Rayan Ranasinghe\",\"Giuseppe Thadeu Freitas de Abreu\",\"Didier Le Ruyet\"]","published":"2025-11-26T17:37:33Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false}