基于忆阻器的高斯滤波器近似

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

摘要翻译：
高斯滤波器是具有高斯函数脉冲响应的滤波器。这些滤波器在二维信号的图像处理中是有用的，因为它消除了不必要的噪声。此外，它们可能有助于数据传输（例如，GMSK调制）。在实际应用中，高斯滤波器可以通过几种方法进行近似设计。其中一种方法是借助忆阻器和RLC电路构造类高斯滤波器。因此，本课题的目标是利用上述器件，寻找并设计出合适的类高斯滤波器模型。最后，本文设计并分析了一种可能的基于忆阻器的类高斯滤波器模型。
---
英文标题：
《Memristor-based Approximation of Gaussian Filter》
---
作者：
Alex Pappachen James, Aidyn Zhambyl, Anju Nandakumar
---
最新提交年份：
2018
---
分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
--

---
英文摘要：
  A Gaussian filter is a filter with impulse response of Gaussian function. These filters are useful in image processing of 2D signals, as it removes unnecessary noise. Also, they could be helpful for data transmission (e.g. GMSK modulation). In practice, the Gaussian filters could be approximately designed by several methods. One of these methods are to construct Gaussian-like filter with the help of memristors and RLC circuits. Therefore, the objective of this project is to find and design appropriate model of Gaussian-like filter, by using mentioned devices. Finally, one possible model of Gaussian-like filter based on memristor designed and analysed in this paper.
---
PDF链接：
https://arxiv.org/pdf/1805.06643

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏0 回帖

关键词：滤波器 Applications Optimization Transmission Application 方法 模型 based methods 基于