Aggregate edge detection is the basis of creating concrete mesoscale model, which is applied to analyze concrete mesoscale characteristics. A concrete digital image edge detection method using DIS operator is presented in this paper. Mean filter, multi-scale filter, and Gaussian filter are compared on the effect of concrete image noise reduction. Based on the result, Gaussian filter is the most...

Gaussian pulse shaping filters plays an important role in digital communications due to its intersymbol interference free property. The pulse shaping filter is a useful means to shape the signal spectrum and avoid Interferences. In this paper a Gaussian filter has been presented for pulse shaping in wireless communication systems. The proposed filter has been designed and simulated using Matlab...

State estimation in high dimensional systems remains a challenging part of real time analysis. The ensemble Kalman filter addresses this challenge by using Gaussian approximations constructed from a number of samples. This method has been a large success in many applications. Unfortunately, for some cases, Gaussian approximations are no longer valid and the filter does not work so well. In this...

The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori knowledge of the noise statistics. This paper introduces a new modified particle filter called adaptive unscented particle filter (AUPF) to overcome th...

The Gaussian filter has been used extensively in image processing and computer vision for many years. In this survey paper, we discuss the various features of this operator that make it the filter of choice in the area of edge detection. Despite these desirable features of the Gaussian filter, edge detection algorithms which use it suffer from many problems. We will review several linear and no...

In this paper we present a general formalism for the establishment of the family of selective partial update affine projection algorithms (SPU-APA). The SPU-APA, the SPU regularized APA (SPU-R-APA), the SPU partial rank algorithm (SPU-PRA), the SPU binormalized data reusing least mean squares (SPU-BNDR-LMS), and the SPU normalized LMS with orthogonal correction factors (SPU-NLMS-OCF) algorithms...

In this paper, we use a modified Gaussian filter to improve enlargement accuracy of the arbitrary scale LP enlargement method, which is based on the Laplacian pyramid representation (so called “LP method”). The parameters of the proposed algorithm are extracted through a theoretical analysis and an experimental estimation. Experimental results show that the proposed modified Gaussian filter is ...

Fig. 3: Radiological readings of the 4 methods: (a) SENSE recon (black); (b) adaptive combine with Gaussian filter (red); (c) unwrap and Gaussian filter (green); (d) adaptive combine with homodyne filter (blue). Horizontal axis is the filter width (1-3 mm from left to right for methods a-c; 192-64 pixels (kspace) for method d). The best image quality were methods (a) and (b) with a filter betwe...

A Median filter is used for eliminating Salt & Pepper Impulse noise and Wiener filter is used for eliminating Gaussian noise. This paper presents a hybrid filter for removal of both types of noises. Two Hybrid filters are presented for eliminating Salt and Pepper noise and Gaussian noise simultaneously from a noisy image. The first filter is a combination of a variant of Median filter and Wiene...