FIR to FIR Model Reduction with Linear Group Delay in Passband by SDP Optimization
Journal of Electrical and Computer Engineering, 2020 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
Integration of Brillouin and passive circuits for enhanced radio-frequency photonic filtering
APL Photonics, 2019 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
Personalized Graph Signal Processing for Collaborative Filtering
Proceedings of the ACM Web Conference 2023, 2023 The collaborative filtering (CF) problem with only user-item interaction information can be solved by graph signal processing (GSP), which uses low-pass filters to smooth the observed interaction signals on the similarity graph to obtain the prediction signals.
Jiahao Liu +6 more
openaire +2 more sources
On the generalization of linear least mean squares estimation to quantum systems with non-commutative outputs [PDF]
, 2015 The purpose of this paper is to study the problem of generalizing the Belavkin-Kalman filter to the case where the classical measurement signal is replaced by a fully quantum non-commutative output signal.
Amini, Nina H. +4 more
core +3 more sources
Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing
Sensors, 2015 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
Effects of Multirate Systems on the Statistical Properties of Random Signals [PDF]
, 1993 In multirate digital signal processing, we often encounter time-varying linear systems such as decimators, interpolators, and modulators. In many applications, these building blocks are interconnected with linear filters to form more complicated systems.
Sathe, Vinay P., Vaidyanathan, P. P.
core +2 more sources
The design and implementation of folded adaptive lattice filter structures in FPGA for ECG signals
Automatika, 2023 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
Programming of digital linear phase filter in ARMv8 architecture
Труды Института системного программирования РАН, 2019 We consider the problem of using processors with an ARMv8 architecture to speed up the operation of multimedia algorithms and digital processing when solving problems of signal recovery in the filtering process.
A. M. Vodovozov, D. S. Poletaev
doaj +1 more source
Rating Prediction via Graph Signal Processing
IEEE Transactions on Signal Processing, 2018 This paper develops new designs for recommendation systems inspired by recent advances in graph signal processing. Recommendation systems aim to predict unknown ratings by exploiting the information revealed in a subset of user-item observed ratings ...
Weiyu Huang +2 more
semanticscholar +1 more source
Robust Inference for State-Space Models with Skewed Measurement Noise [PDF]
, 2015 Filtering and smoothing algorithms for linear discrete-time state-space models with skewed and heavy-tailed measurement noise are presented. The algorithms use a variational Bayes approximation of the posterior distribution of models that have normal ...
Ardeshiri, Tohid +3 more
core +2 more sources