Frequency domainComputational complexitySpline adaptive filter (SAF) is a kind of simple and effective nonlinear system online identification method. When the length of FIR filter, which represents the linear sub-model, is very long, the computational complexity will increase dramatically. In order to...
whereH(z)stands for the channel effect. In the case of convolutive mixture,H(z) = (hij(z)) becomes aq×pcomplex polynomial matrix. In the following, we consider that the channel is a linear and causal one and that the coefficientshij(z) are RIF filters, (where the coefficients are ev...
5 Time-Optimal Rendezvous Guidance In this section, based on the previously analyzed results, we introduce a method to reformulate the time-optimal con- trol for spacecraft rendezvous using a frequency domain approach and a time-delay filter. The proposed approach transforms the optimal control ...
domain low-pass filter characteristics, underlying signal-independent kernels which are applied to mitigate the signal cross-terms[31–36], offer limited benefits against an exceedingly noisy ambiguity function (AF). On the other hand, missing samples can misguide the signal-dependent adaptive kernels...
The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often non-stationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). T
(12) has been rewritten regularly to use spline interpolation of the wavelet and circumvent the FT entirely70,71. Spline interpolation, also known as polynomial interpolation, defines a wavelet by only a few evenly spaced sampling points across the domain. Because the number of points is ...
(typically 8-12 taps) which do not have to be truncated. However, the Daubechies filters are non-symmetrical. This can lead to difficulties in reconstructing signal and image edges. If symmetrical wavelets are required, the spline wavelets developed are normally used such as those of Battle, ...
Frequency domain maximum correntropy criterion spline adaptive filteringWenyan GuoYongfeng ZhiKai Feng
Linear filtering based on filters with variable cut-off frequency was initially suggested for off-line processing of ECG signals [22] and later extended for use in on-line processing [23]. Other approaches to linear, time-variant filtering have also been described based on adaptive, LMS techniqu...
3.1). Several techniques and approaches have been developed and evaluated for removing such interference, as band-stop FIR and IIR filtering, adaptive filters, subtraction of estimated components, wavelet transform, and advanced techniques, which handle variations in power line frequency (Sörnmo and...