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关键词： 电子信息   大数据   数字信号处理技术  

摘要： 我国电子信息工程研究起步较晚,相关信息设备的集中处理仍存在很大的优化空间,为了确保电子信息装置更稳定、更高效的运行,本文将围绕数字信号处理技术进行分析讨论,阐述其应用在电子信息工程不同领域的具体内容,并提出加强应用效果的相关措施,从而推动电子信息工程进一步发展,切实解决运用过程中存在的经济性、安全性问题.

关键词： 电子信息工程   信号处理系统   DSP技术   计算机   科学技术  

摘要： 随着社会经济的发展,科学技术发展水品的提升,DSP技术已经在通信、电子以及计算机等多个领域中得到广泛的应用。其中,基于DSP的信号处理系统在电子信息工程中的应用,表现出了非常突出的优势。本文重点针对基于DSP的信号处理系统在电子信息工程中的应用进行了详细的分析,以供参考。

关键词： 数字信号处理技术   电子信息工程   应用现状  

摘要： 在电子信息工程当中,数字信息处理技术具有非常重要的作用,推动电子信息工程获得更加高效的发展。在本次研究中,则主要针对数字信号处理技术在电子信息工程中的应用情况展开了探讨与分析。

关键词： 科技技术   数字信号处理技术   机器人   电子信息工程   应用思考  

摘要： 在科技技术快速发展的背景下，电子信息工程也随之发展起来，数字信号处理技术在电子信息工程中运用可以促进社会和谐发展。基于此，本文主要分析电子信号处理基础概述，并进一步阐述数字信号处理技术的优势与现状，最后探讨数字信号处理技术在电子信息工程的具体应用与数字信号处理技术的优化对策，希望可以为相关人士提供参考和借鉴。

关键词： 电子信息   数字信号   处理技术   工程应用  

摘要： 随着我国科学技术水平不断提升,在各个行业领域当中信息化建设已经成为了主要发展趋势.而对于信息化来说,其中最为重要的就是信息处理工作,只有做好信息处理才能够确保整个系统运行更加稳定、安全.因此需要加强对数字信号处理技术的重视程度,并且将其有效运用到实际操作过程当中去,从而使得各项数据得到科学合理地处理与分析.本文重点研究电子信息工程中数字信号处理技术的应用,提出若干建议,逐步提高电子信息工程质量和水平.

关键词： 数字信号处理技术   电子信息工程   应用  

摘要： 本文主要是对于数字信号处理技术在电子信息工程中运用进行探究,首先简单概述数字信号处理技术,对此项技术有一定的了解,然后分析数字信号处理技的具体应用,充分发挥出此项技术在电子信息工程中的作用,并促进其得以良好发展.

关键词： Electroencephalography   Machine learning   Support vector machines   Supervised learning   Brain modeling   Unsupervised learning   Mathematical model   Machine learning   eeg   survey   medical applications   signal processing   signal analysis  

摘要： Electroencephalography (EEG) has been a staple method for identifying certain health conditions in patients since its discovery. Due to the many different types of classifiers available to use, the analysis methods are also equally numerous. In this review, we will be examining specifically machine learning methods that have been developed for EEG analysis with bioengineering applications. We reviewed literature from 1988 to 2018 to capture previous and current classification methods for EEG in multiple applications. From this information, we are able to determine the overall effectiveness of each machine learning method as well as the key characteristics. We have found that all the primary methods used in machine learning have been applied in some form in EEG classification. This ranges from Naive-Bayes to Decision Tree/Random Forest, to Support Vector Machine (SVM). Supervised learning methods are on average of higher accuracy than their unsupervised counterparts. This includes SVM and KNN. While each of the methods individually is limited in their accuracy in their respective applications, there is hope that the combination of methods when implemented properly has a higher overall classification accuracy. This paper provides a comprehensive overview of Machine Learning applications used in EEG analysis. It also gives an overview of each of the methods and general applications that each is best suited to.

关键词： Wireless Technology   Electronics   Medical   Signal Processing   Computer-Assisted  

ISBN: (纸本)9781771888837

摘要： "With the rapid growth of wireless communications, this book meets a strong demand for information and new research in the area of antenna, signal processing, and microelectronics engineering. Providing an interdisciplinary platform for discussing innovations, trends, and advances as well as the challenges encountered in this field, Advances in Antenna, Signal Processing, and Microelectronics Engineering brings together leading academicians, scientists, and researchers to share their knowledge and research in the area. The chapters in this volume address the functional framework in the area of antenna, signal processing, and microelectronics engineering and explore the concepts from the basic to advanced level. The diverse topics include estimation of diversity and muliple-input multiple-output parameters of multiple-element printed inverted F-antenna in the presence of the human body; the design of reversible combinational and sequential circuits using qualitative comparative analysis; the use of carbon-generated materials in new devices that interconnects technologies and nano-antennas in microelectronics; use of deep learning process for introducing the theoretical and practical aspects of cellular neural networks; monolithic microwave integrated circuit antennas; a new approach for deriving analytical models for front and back gate threshold voltages by solving Laplace and Poisson's equation in multilayer structure of FD SOI MOSFETs; robot navigation in incoherent environments; sensor architecture, and much more. Key features: Addresses the functional framework in the area of antenna, signal processing, and microelectronics engineering Explores the concepts from the basic to advanced level Covers the major challenges, issues, and advances in antennas, signal processing, and microelectronics engineering Explores optimization techniques for smart antenna and microelectronics for different applications Explores different materials and design techniques in the area of antennas and microelectronics"--Provided by publisher.

关键词： 新工科   通信工程专业   信号处理课程群   建设  

摘要： 就现阶段我国各高校通信工程专业信号处理课程设置教学实际情况来看,课程教学存在一些问题,导致学生学习水平难以实现质的飞跃。基于此,将从新工科视角来分析通信工程专业信号处理课程设置存在的问题,进而探讨通信工程专业信号处理课程群建设与改革的做法,希望对提高通信工程专业教学水平有所帮助。

关键词： 电子信息工程   信号处理   应用处理  

摘要： 伴随科技信息的飞速进步,电子信息技术也逐渐占据了电脑数据处理中的重要部分.很多的电子信息工程已经逐步为大众所接受,并且其也被用于生活当中的每一个角落之中.当然也包括信号处理系统.它也越来越多地出现在人们的日常生活之中,下文主要就电子信息工程信号处理运用于生活中的事例进行了分析.并且提出了一些棘手问题的处理办法,仅供参考.