电气和计算机工程理学硕士-通信和信号处理

Master of Science in Electrical and Computer Engineering - Communications and Signal Processing Research

加州大学圣塔芭芭拉分校

University of California Santa Barbara

美国

学历文凭
Masters Degree
专业院系
Department of Electrical and Computer Engineering
开学时间
课程时长
课程学费
学费可能有所更新，
请与您的顾问联系
获取最新信息

国际学生入学条件

Applicants who have conducted their post-secondary education outside of the United States must have completed an undergraduate degree program equivalent to a University of California bachelor's degree by the beginning of their graduate program at UCSB. Equivalent undergraduate degrees usually include a minimum four years of university work and above-average scholarship. The degree must be awarded by an accredited institution. Satisfaction of minimal standards does not, however, guarantee admission, since the number of qualified applicants far exceeds the number of spaces available. An excellent command of written and spoken English is required prior to enrollment at UCSB. Applicants whose native language is not English are required to take the Test of English as a Foreign Language (TOEFL), the International English Language Testing System (IELTS), or the Duolingo English Test (DET). TOEFL paper-based test (PBT) 550, TOEFL internet-based test (iBT) and TOEFL iBT Home Edition 80, IELTS Academic and IELTS Indicator - Overall Band Score of 7.

展开

IDP—雅思考试联合主办方
雅思考试总分
7.0
了解更多
雅思考试指南

雅思总分：7
托福网考总分：80
托福笔试总分：550
其他语言考试：Duolingo English Test (DET) - 120

CRICOS代码：
申请截止日期：请与IDP顾问联系以获取详细信息。

课程简介

通信对现代社会来说与电力一样重要，它提供了连接性（手机，WiFi，互联网）和存储（硬盘，闪存）。通信领域涵盖用于收发器设计的信号处理和错误控制编码，用于确定基本性能基准的信息论以及网络协议的设计。信号处理是指用于生成，转换和分析信号（例如，无线电波，声音，图像，视频，EEG，MRI）的硬件和软件，是工程和科学领域中每个学科的基本工具。复杂的数字信号处理算法（利用摩尔定律降低了实现成本）是越来越多的设备（包括通信设备（手机，WiFi），数字音乐/视频播放器，电视，GPS）的核心接收器，雷达和声纳系统以及医学
The field of Signal Processing is concerned with the design and implementation of algorithms for manipulating, forecasting or classifying signals containing information. Examples include classification of objects (e.g., faces) in an image, speech recognition and synthesis, video compression, medical diagnosis from biological signals such as the heartbeat in wearable devices, or learning a detailed map of the area surrounding an autonomous vehicle to allow safe navigation in unknown environments. Signal processing techniques are ubiquitous in engineering systems, including but not limited to communications devices (cell phones, WiFi), digital music/video players, televisions, GPS receivers, radar and sonar systems, the Internet of Things (IoT), and medical imaging and monitoring systems.<br><br>Communications is as essential to modern society as electricity, providing technologies for both high speed connectivity (cellular, WiFi, Internet) and efficient storage (hard drive, flash memory). The field of communications spans signal processing and error control coding for transceiver design, information theory to identify fundamental performance benchmarks, and the design of communication network protocols.

展开