Abstract Different tasks in the computational pipeline of single-particle cryo-electron microscopy (cryo-EM) require enhancing quality highly noisy raw images. To this end, we develop an efficient algorithm for signal enhancement cryo-EM The enhanced images can be used a variety downstream tasks, such as two-dimensional classification, removing uninformative images, constructing ab initio model...

Simplification of triangulation structure plays an important role in constructing three-dimensional modeling. In this paper, we study all of triangulation-simplify algorithm in use these days, and introduce an algorithm which is very useful in many areas, named TIN simplification based on Vertex Decimation, to actual simplification of three-dimensional terrain. For the huge data of three-dimens...

With magnetic storage devices already achieving storage densities of up to 400 Gigabits per square inch (Gb/in), the state of the art is rapidly approaching theoretical limits (dictated by thermal stability concerns). Hence, there is an effort in the industry to develop alternative magnetic storage technologies. Two-dimensional magnetic recording (TDMR) is one such candidate technology. In cont...

introduction automatic human emotion recognition is one of the most interesting topics in the field of affective computing. however, development of a reliable approach with a reasonable recognition rate is a challenging task. the main objective of the present study was to propose a robust method for discrimination of emotional responses thorough examination of heart rate variability (hrv). in t...

background: the second processing cycle for adding the artificial teeth to heat-polymerized acrylic resin denture bases may result in dimensional changes of the denture bases. the aim of thisstudy was to evaluate the dimensional changes of the heat-polymerized acrylic resin denture bases with one and two-cycle processing methods. materials and methods: a metal edentulous maxillary arch was used...

Ultra high bandwidth properties of fiber-optic signal processing systems could provide the necessary processing power for computationally demanding two-dimensional signal processing applications. The techniques of fiber-optic signal processing so far have not been applied to the area of two-dimensional signal processing. Further the matured fields of integrated optics and integrated photonics a...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

Although traditional signal-based structural health monitoring algorithms have been successfully employed for small structures, their application for large and complex bridges has been challenging due to non-stationary signal characteristics with a high level of noise. In this paper, a promising damage detection algorithm is proposed by incorporation of adaptive signal processing and Artificial...

background: this paper proposes a new emotional stress assessment system using multi-modal bio-signals. electroencephalogram (eeg) is the reflection of brain activity and is widely used in clinical diagnosis and biomedical research. methods: we design an efficient acquisition protocol to acquire the eeg signals in five channels (fp1, fp2, t3, t4 and pz) and peripheral signals such as blood volu...

Many concepts that are used in multi{dimensional signal processing are derived from one{dimensional signal processing. As a consequence , they are only suited to multi{dimensional signals which are intrinsically one{dimensional. We claim that this restriction is due to the restricted algebraic frame used in signal processing, especially to the use of the complex numbers in the frequency domain....