Do you want to publish a course? Click here

Developing Lower Bounder for The Spectral Radius of a Numerical Matrix

تحسين الحدود الدنيا لنصف القطر الطيفي لمصفوفة عددية

1378   2   2   0 ( 0 )
 Publication date 2000
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

This paper is concerned with the calculation of the spectral radius of an arbitrary real matrix A If rank A = m = 2 then (١) and (٢) are equalities. In addition, we provide the numerical radius r(A) of an n×n matrix whose diagonal entries are complex numbers.



References used
F. R. Gantmacher ,The theory of matrices, Chelsea, New York1977
R.A. Horn and C.L. Giles, An experimental comparison of recurrent neural networks, MIT Press1995
M.Marcus and H. minc, A survey of Matrix theory and Matrix inequalities, Dover, New York1964
rate research

Read More

In this paper, we propose spectral modification by sharpening formants and by reducing the spectral tilt to recognize children's speech by automatic speech recognition (ASR) systems developed using adult speech. In this type of mismatched condition, the ASR performance is degraded due to the acoustic and linguistic mismatch in the attributes between children and adult speakers. The proposed method is used to improve the speech intelligibility to enhance the children's speech recognition using an acoustic model trained on adult speech. In the experiments, WSJCAM0 and PFSTAR are used as databases for adults' and children's speech, respectively. The proposed technique gives a significant improvement in the context of the DNN-HMM-based ASR. Furthermore, we validate the robustness of the technique by showing that it performs well also in mismatched noise conditions.
Speech denoising is a field of engineering that studies techniques used to recover the original signal from the noisy signal corrupted with different types of noise, such as broadband noise and narrowband noise, and other types present in environme nt, but the spectral subtraction technique consider the most prominent in this area . In this search we will discuss the parameters impact of the modified spectral subtraction algorithm and the time window length in the enhancement of speech that corrupted with broadband noise. We done the study and determine the ideal parameters values and the ideal window length with different values for the signal -to-noise ratio SNR for noisy speech and we discuss 18 case for each value. We done the simulation using MATLAB software and the results were compared based on improving the value of SNR for each case .
The present study aimed to compare the epithelium tissue of mucosa layer of gastrointestinal tract in three types of lower vertebrates: Scyliorhinus canicula, Sparus aurata, Salamandra infraimmaculata. The results of the histological and comparativ e study showed that the majority of digestion system parts were lined with simple epithelium tissue while others were lined by pseudostratified epithelium tissue. Goblet cells were distributed in all studied parts of digestion systems with density in some locations. Esophagus was characterized by ciliated epithelium tissue, and the tubular glands were presents in the stomach mucosa. Concerning the Lumina properia, it was visible in all digestive system parts with some differences according to the animal species studied.
In this paper, an iterative numerical method for obtaining approximate values of definite single, double and triple integrals will be illustrated. This method depends on approximating the single integral function by spline polynomial of fifth degre e, while Gauss Legendre points as well as spline polynomials are used for finding multiple integrals. The study shows that when the method are applied to single integrals is convergent of order sixth, as well as when applied to triple integrals is convergent of order sixth for three Gauss Legendre points or greater. Errors estimates of the proposed method alongside numerical examples are given to test the convergence and accuracy of the method.
In this paper, we present a numerical algorithm for solving linear integro differential Volterra-Friedholm equations by using spline polynomials of degree ninth with six collocation points. The Fredholm-Volterra equation is converted into a system of first-order linear differential equations, which is solved by applying polynomials and their derivatives with collocation points. The convergence of the proposed method is demonstrated when it is applied to above problem. To test the effectiveness and accuracy of this method, two test problems were resolved where comparisons could be used with other results taken from recent references to the high resolution provided by spline approximations.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا