Abstract—Traditional space-time adaptive processing (STAP) algorithm not only have a big computation, but also cannot suppress the multiple narrowband jammer and the narrowband jammer which come from the same direction with the useful signal. Focus on these problems, an improved GPS anti-jam multistage nested Wiener filter (MSNWF) method which combines with multistage IIR lattice notch filter w...

In this paper we present an adaptive microphone array to suppress coherent as well as incoherent noise in disturbed speech signals. We use a generalized sidelobe cancelling (GSC) structure implemented in the frequency domain, because it allows a separate handling of determining the adaptive look direction response to suppress incoherent noise and adjusting the adaptive filters for cancellation ...

the error of inertial navigation systems increase versus time, therefore for achieving higher accuracy specially in long time navigations we have to use an aiding system. global positioning system is the best aiding system in this case. in this paper we first simulate a gps and ins; then simulate tightly integration and finally review adaptation method of kalman filtering a fuzzy adaptive kalma...

View synthesis prediction has been studied to achieve efficient inter-view prediction. Existing view synthesis prediction methods generate the predicted pictures by using pictures decoded at the other views and geometric information of the scene. However, it is difficult to obtain such geometric information correctly. In addition, these conventional methods have no ability to compensate the int...

The Wiener filter is analyzed for stationary complex Gaussian signals from an information-theoretic point of view. A dual-port analysis of the Wiener filter leads to a decomposition based on orthogonal projections and results in a new multistage method for implementing the Wiener filter using a nested chain of scalar Wiener filters. This new representation of the Wiener filter provides the capa...

In this paper, we provide a new theoretical analysis of the amount of musical noise generated via Wiener filter based on higher-order statistics. Spectral subtraction and Wiener filter are the most commonly used noise reduction methods, and in our previous study a musical noise assessment theory limited to the spectral subtraction was proposed. Therefore, in this paper, we propose a new theoret...

We propose a two-stage adaptive filtering process for canceling narrowband interference from a wideband signal process, based on a reference signal consisting of a Doppler shifted version of the interference. The first stage uses the timevarying behavior of NLMS with large step-size to produce an estimate of the interference signal, in which the Doppler shift is mitigated. The second stage uses...

Restoration of images is a significant area of research as presence of noise is unavoidable. Noises are modeled as Gaussian noise predominantly in all fields of image processing on images acquired from all spectrums. The global method of Adaptive Wiener Filter seems to perform the best amongst all the filters available. Numerous studies have established this fact. We have tried to develop a loc...

We present a new patch-based image restoration algorithm using an adaptive Wiener filter (AWF) with a novel spatial-domain multi-patch correlation model. The new filter structure is referred to as a collaborative adaptive Wiener filter (CAWF). The CAWF employs a finite size moving window. At each position, the current observation window represents the reference patch. We identify the most simil...