Recursive implementation of the Gaussian filter

Recursive implementation of the Gaussian filter

Gaussian Particle Flow Implementation of PHD Filter

Particle filter and Gaussian mixture implementations of random finite set filters have been proposed to tackle the issue of jointly estimating the number of targets and their states. The Gaussian mixture PHD (GM-PHD) filter has a closed-form expression for the PHD for linear and Gaussian target models, and extensions using the extended Kalman filter or unscented Kalman Filter have been develope...

Recursive Sparse Estimation Using a Gaussian Sum Filter

We develop a recursive estimator that systematically arrives at sparse parameter estimates. The algorithm is computationally feasible for moderate parameter estimation problems and leverages the Gaussian sum filter to provide both sparse parameter estimates and credible Bayesian intervals for non-zero parameters in a recursive fashion. Simulations show extremely promising accuracy, as well as a...

A Recursive Gaussian Weighted Filter For Impulse Noise Removal

A recursive filter for effective suppression of impulse noise is presented in this paper. The proposed work estimates the noise corruption level and the position of impulses in the first stage. The appropriate filter parameters for a detail-preserving restoration of the corrupted pixels are determined based on these estimations. The filtering process assumes a Gaussian spatial profile in the ne...

Implementation of CDMA receiver using Recursive Digital Matched Filter

Code Division Multiple Access (CDMA) is a multiple access technique widely used in cellular and military communication systems. In Direct Sequence Spread Spectrum (DSSS) communications, data samples are embedded inside Pseudo Noise code (PN code) prior to transmission. Synchronization of this unique code with the incoming data samples forms an important step in data recovery. Single Dwell Seria...