In electron tomographic reconstructions of biological specimens the information about their structure is not directly accessible since most of the signal is buried in noise. An interpretation of the images using surface and volume rendering techniques is difficult due to the noise sensitivity of rendering algorithms. We explore the use of various multiscale representations for denoising 2D and ...

In electron tomographic reconstructions of biological specimens the information about their structure is not directly accessible since most of the signal is buried in noise. An interpretation of the images using surface and volume rendering techniques is difficult due to the noise sensitivity of rendering algorithms. We explore the use of various multiscale representations for denoising 2D and ...

Images are frequently affected because of blurring, data loss occurred by sampling and noise occurrence. The images getting blurred object movement in the scenario, atmospheric misrepresentations optical aberrations. main objective image restoration is to evaluate original from corrupted data. To overcome this issue, Multi-Objective Reptile Search Algorithm proposed for performing an effective ...

the purpose of this study is presenting a model forecasting financial crisis in tehran stock exchange listed companies. to do this, productive firms that had been accepted in tehran stock exchange between 2002 and 2009, were selected as the study sample. first the independent variables were obtained based on financial ratios and then based on article 141 of the law of commerce, the insolvent an...

abstract the global economy faces crisis every so often. in recent years, the financial crisis has affected the global economy; all countries, directly or indirectly, are involved. the purpose of this research is to study the impact of the global economic crisis on the capital structure of listed companies in tehran stock exchange. to test this effect, 87 companies listed in tehran stock exchan...

â  using of prediction models is one of the methods of financial performance prediction. financial ratios are employed as predictive variable in prediction models. the main purpose of this study is to compare the incremental information content of accrual and cash ratios for prediction and evaluation of the financial performance of business entities by data mining models. in align with research...

Current researches define the perfect signal by the inner product of sequence itself and its delay sequence. However, these traditional sequences based on second-order statistics cannot handle colored Gaussian measurement noise automatically. Because higher-order cumulant (HOC) is insensitive to the adding Gaussian noise and symmetrical non-Gaussian noise, a new kind of perfect binary signal wi...

As any process in Nature, seismic records are affected by noise that the analyst would want to eliminate. One of the most common techniques used to minimise this noise effect is the application of linear filters, which reduce the bandwidth of the signal. This method is based on the Fourier Transform, and therefore any perturbation on the coefficients affects the entire record. We have developed...