Results 41 to 50 of about 2,903,310 (399)
Non-iterative Filter Bank Phase (Re)Construction [PDF]
Signal reconstruction from magnitude-only measurements presents a long-standing problem in signal processing. In this contribution, we propose a phase (re)construction method for filter banks with uniform decimation and controlled frequency variation. The suggested procedure extends the recently introduced phase-gradient heap integration and relies on ...
arxiv +1 more source
Analysis and application of digital spectral warping in analog and mixed-signal testing [PDF]
Spectral warping is a digital signal processing transform which shifts the frequencies contained within a signal along the frequency axis. The Fourier transform coefficients of a warped signal correspond to frequency-domain 'samples' of the original ...
Allen, W. R. M.+3 more
core +1 more source
Integration of Brillouin and passive circuits for enhanced radio-frequency photonic filtering
Signal processing using on-chip nonlinear or linear optical effects has shown tremendous potential for RF photonic applications. Combining nonlinear and linear elements on the same photonic chip can further enable advanced functionality and enhanced ...
Yang Liu+12 more
doaj +1 more source
Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing
In order to reduce random errors of the lidar signal inversion, a low-pass parabolic fast Fourier transform filter (PFFTF) was introduced for noise elimination.
Zhongke Jiao+3 more
doaj +1 more source
FIR to FIR Model Reduction with Linear Group Delay in Passband by SDP Optimization
Filter model reduction is an important optimization method in digital signal processing. A method of FIR to FIR model reduction using SDP optimization is proposed in this paper. At first, we use SDP to design an original FIR filter.
Haijiang Hu+2 more
doaj +1 more source
The design and implementation of folded adaptive lattice filter structures in FPGA for ECG signals
An adaptive filter is the utmost essential filter castoff in statistical signal dealing. The fine-tuning of the filter factor in relation to the response signal is the adaptive filter's key feature due to fewer calculations, Least Mean Square (LMS ...
Kalamani C.+3 more
doaj +1 more source
Unified Linearization-based Nonlinear Filtering [PDF]
This letter shows that the following three classes of recursive state estimation filters: standard filters, such as the extended Kalman filter; iterated filters, such as the iterated unscented Kalman filter; and dynamically iterated filters, such as the dynamically iterated posterior linearization filters; can be unified in terms of a general algorithm.
arxiv
On semi shift invariant graph filters [PDF]
In graph signal processing, one of the most important subjects is the study of filters, i.e., linear transformations that capture relations between graph signals. One of the most important families of filters is the space of shift invariant filters, defined as transformations commute with a preferred graph shift operator. Shift invariant filters have a
arxiv
Review of Fundamental Active Current Extraction Techniques for SAPF
The field of advanced digital signal processing methods is one of the fastest developing scientific and technical disciplines, and is important in the field of Shunt Active Power Filter control methods.
Jan Baros+6 more
doaj +1 more source
Application of Derivative Transform Spectroscopy in Gas Detection [PDF]
Digital filtering technique is of great significance in real-time signal processing and analysis, but the stability, efficiency and flexibility of filter algorithm are important indicators to reflect its application value.
Chen Tingting+3 more
doaj +1 more source