in the present paper‎, ‎we propose an iterative algorithm for‎ ‎solving the generalized $(p,q)$-reflexive solution of the quaternion matrix‎ ‎equation $overset{u}{underset{l=1}{sum}}a_{l}xb_{l}+overset{v} ‎{underset{s=1}{sum}}c_{s}widetilde{x}d_{s}=f$‎. ‎by this iterative algorithm‎, ‎the solvability of the problem can be determined automatically‎. ‎when the‎ ‎matrix equation is consistent over...

the principle of dimensionality reduction with pca is the representation of the dataset ‘x’in terms of eigenvectors ei ∈ rn  of its covariance matrix. the eigenvectors oriented in the direction with the maximum variance of x in rn carry the most      relevant information of x. these eigenvectors are called principal components [8]. assume that n images in a set are originally represented in mat...

Iterative reconstruction can optimize radiation dose and improve image quality on CT scan. This research method is quantitative analytic with the analysis of results head examination parameters associated to changes in variations 80 kV, 100 120 kV use iterative reconstruction. Image measurements are Hounsfield Unit (HU) value, standard deviation, Signal Noise Ratio (SNR) using Radiant Viewers. ...

The technique of SNR estimation is one of the key technologies in adaptive frequency hopping system. The methods of channel quality estimation for nonlinear continuous phase modulation (CPM) signals have some limitations. Therefore, the algorithm of channel quality estimation for CPM signals is worthy of further study. Some similar phase characteristics between sampling CPM and MPSK motivate us...

Image restoration is the process of estimating original image content from a degraded picture. In this paper, Richardson-Lucy iterative algorithm was developed to improve quality medical images. It has been assumed that images are exposed two types degradation. The first type blur function in Gaussian form with different widths, i.e. σ = 1 , 2, and 3. second degradation be independent white noi...

A new robust algorithm for isolated word recognition in low SNR environments is suggested. The algorithm, called WSP, is described here for left to right models with no skips. It is shown that the algorithm outperforms the conventional HMM in the SNR range of 5 to 20db, and the PMC algorithm in the range 0 to-9db.

در این مقاله، روش جدیدی برای تخمین نسبت سیگنال به نویز (snr) سیگنال ترکیب ارائه شده است که بر پایه روش آنالیز ترکیب شنیداری محاسباتی (casa) است. در روش ارائه شده، ماسک باینری ایده آل (ibm) که به طور معمول هدف محاسباتی سیستم های مبتنی بر casa است، برای تخمین snr سیگنال گفتار نویزی به کار گرفته می شود. روش پیشنهادی با استفاده از ibm و چندین ماسک شبه ibm ارزیابی شده است. این روش، ساده و از نظر محا...

An Automatic Modulation Recognition (AMR) process using the Discrete Wavelet Transform (DWT) is presented in this work. The AMR algorithm involves the use of wavelet domain signal templates derived from digitally modulated signals that are used to transmit binary data. The signal templates, locally stored in a receiver, are cross-correlated with the incoming noisy, received signal after it has ...

Suppression of noise and artifacts is a necessary step in biomedical data processing. Adaptive filtering is known as useful method to overcome this problem. Among various contaminants, there are some situations such as electrical activities of muscles contribute to impulsive noise. This paper deals with modeling real-life muscle noise with α-stable probability distribution and adaptive filterin...