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About 10,000 papers for “Window function”

dSTDP window function.

Youwei Zheng (523313), Lars Schwabe (369722) · Figshare · 2015

<p>The relative modification of synaptic weight varies as a function of interspike interval ( ms).</p>

Cited by 0Open access

An Excellent 2D Window Function

Yun Long Wang, Shi Hu Wang · Applied Mechanics and Materials · 2014

In the aid of sinc sum function and matrix equation a new 2D window function is obtained. It is as simple as a 2D cosine window function. Comparison shows that the new 2D window function can provide much better 2D FIR filters than 2D Hamming window function. Maximum passband ripples are about 2.5-3.5 times smaller and maximum stopband ripples are about 1.5 times smaller with equal or very small different passband and stopband edge frequencies.

Cited by 0

Analysis of Common Window Function Selection Strategies for FIR Filter Design Using Window Function Methods

Junze Xie · Science and Technology of Engineering Chemistry and Environmental Protection · 2026

Digital Signal Processing (DSP) technology, as a crucial discipline in communications and computer processing, has found extensive application across various fields. As a core and fundamental component in the field of digital signal processing technology, the primary function of a filter lies in the effective processing of signals. Based on the characteristics of the unit impulse response over time, filters can be categorized into two main types: finite impulse response (FIR) digital filters and infinite impulse response (IIR) digital filters. This paper first introduces the principles of FIR filters, then explains the window function method for filter design. It subsequently focuses on analyzing the characteristics and advantages/disadvantages of the five commonly used window functions in FIR filter design. By doing so, it identifies the practical applications of each window function and derives selection strategies for choosing the appropriate window function when designing FIR filters under different conditions. This approach better addresses challenges encountered in the practical design of FIR filters. At the same time, this paper looks forward to future optimizations and improvements.

Cited by 0Open access

SAR Azimuth Low Sidelobe Window Function Design

Youshan Tan, Lei Wang, Hong Yang An et al. · IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium · 2022

High sidelobe of strong scattering points usually submerges weak targets nearby and affects the quality of SAR image. Therefore, SAR image usually requires sidelobe control. Common window functions have limited improvement on PSLR performance when the image resolution is required to be guaranteed. Combining Min-Max weighted ISL technique, this paper proposes an azimuth low sidelobe window function design method for SAR. Simulation results show that PSLR of the designed window is nearly −10dB lower than hanning window with a −45dB ISL level, and main lobe width is almost equal to hanning window.

Cited by 1

Super-Gaussian window function and its applications

Hui Zhang, Zhao Guiliang, Dejung Wang · 2002

Describes a new window function which is called Super-Gaussian window function. The most simple window function is rectangular window, it causes sharp discontinuities at the window edges and gives rise to the ringing in the transform. On the other hand, one can use an artificial window function with rounded corners that gradually reduces the function to zero at the endpoints. The details of the characteristics of the Super-Gaussian (SG) window function and some applications are discussed. It is shown that the SG function is a very good window function and easy to use.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 2

Memristor model based on fuzzy window function

Abdel-Kader, Rabab Farouk, Abuelenin, Sherif M. · arXiv (Cornell University) · 2016

Memristor (memory-resistor) is the fourth passive circuit element. We introduce a memristor model based on a fuzzy logic window function. Fuzzy models are flexible, which enables the capture of the pinched hysteresis behavior of the memristor. The introduced fuzzy model avoids common problems associated with window-function based memristor models, such as the terminal state problem, and the symmetry issues. The model captures the memristor behavior with a simple rule-base which gives an insight of how memristors work. Because of the flexibility offered by the fuzzy system, shape and distribution of input and output membership functions can be tuned to capture the behavior of various real memristors.

Cited by 0Open access

Design a FIR Filter Using Window Function

Min Ge Chen · Applied Mechanics and Materials · 2011

The paper presents an approach of designing FIR filter using window function. The method proposed is simulated in MATLAB. The simulated results show that the approach of designing FIR filter presented can meet the design requirements illustrated, and it has a higher efficiency compared to traditional methods. The major advantage of the designing processing is easy to be deployed in applications. The approach presented can be used in project design, or as a model taught in educational institute.

Cited by 1

A new window on c-Myb function

Timothy P. Bender · Blood · 2010

The c-Myb transcription factor is required for adult hematopoiesis.[1][1] c-Myb is abundantly produced by hematopoietic stem cells and progenitors and is down-regulated in terminally differentiated hematopoietic cells. Expression of c-Myb increases in naive T and B lymphocytes after activation but

Cited by 3

A Memristor Model with Piecewise Window Function

Juntang Yu, Xiaomu Mu, Xiangming Xi et al. · Brno University of Technology Digital Library (Brno University of Technology) · 2013

In this paper, we present a memristor model with piecewise window function, which is continuously differentiable and consists of three nonlinear pieces. By introducing two parameters, the shape of this window function can be flexibly adjusted to model different types of memristors. Using this model, one can easily obtain an expression of memristance depending on charge, from which the numerical value of memristance can be readily calculated for any given charge, and eliminate the error occurring in the simulation of some existing window function models.

Cited by 28Open access

Gabor Dual Frames with Characteristic Function Window

M. A. Hasankhani Fard · SHILAP Revista de lepidopterología · 2021

The duals of Gabor frames have an essential role in reconstruction of signals. In this paper we find a necessary and sufficient condition for two Gabor systems $\left(\chi_{\left[c_1,d_1\right)},a,b\right)$ and $\left(\chi_{\left[c_2,d_2\right)},a,b\right)$ to form dual frames for $L_2\left(\mathbb{R}\right)$, where $a$ and $b$ are positive numbers and $c_1,c_2,d_1$ and $d_2$ are real numbers such that $c_1<d_1$ and $c_2<d_2$.

Cited by 0Open access

An Adaptive Window Function based Memristor Model

Y. R. Ananda, Arkadeep Hajra, Gaurav Trivedi · 2023

In the proposed work, a new window function for the memristor model is developed, incorporating an intelligent adaptive system. For the first time, an adaptive constant parameter for the window function is proposed in this paper, which introduces higher nonlinearity at the boundaries as compared to classical window functions. This parameter depends on the input voltage and frequency to generate a pinched hysteresis loop (PHL). It enhances the nonlinearity of the memristor model for a wide range of voltages and frequencies. The memristor model using the proposed window function provides an acceptable PHL from 0.01 Hz to 10 kHz for various voltage levels compared to other available window functions based memristor models.

Cited by 0