资源列表
[matlab例程] AtarodiAbbasali_SUT_AdvDSP_TH1.2
说明:It solved the contradiction of the convergence rate, tracking capabilities and the steady-state error, but when the error close to zero, step size changes too much, that lead to greater step in steady state<abbas> 在 2025-03-10 上传 | 大小:687kb | 下载:0
[matlab例程] AtarodiAbbasali_SUT_AdvDSP_TH1.1
说明:t improved the convergence speed and tracking speed further. In this paper, a new adaptive variable step size algorithm is proposed based on the LMS filter algorithm of Lorentzian function,<abbas> 在 2025-03-10 上传 | 大小:541kb | 下载:0
[matlab例程] AtarodiAbbasali_SUT_AdvDSP_TH1.15
说明:From the above formulas we can see, when choose the value of the step factor, the steady-state error and convergence rate are contradictory mutually, that is, the smaller step size lead to smaller offset and the sl<abbas> 在 2025-03-10 上传 | 大小:808kb | 下载:0
[matlab例程] AtarodiAbbasali_SUT_AdvDSP_TH1.5
说明:In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached s<abbas> 在 2025-03-10 上传 | 大小:812kb | 下载:0
[matlab例程] AtarodiAbbasali_SUT_AdvDSP_TH1.14
说明:In the beginning of adaption, the big error makes the big step size and fast convergence rate with the adaptive process going on, errors are reduced gradually, step size is also decreased. When adaption reached s<abbas> 在 2025-03-10 上传 | 大小:769kb | 下载:0