Research Instrumentation

东北大学获得的这项机构基础设施奖是 为开发一个强大的网络环境， 工作站和服务器连接计算机科学学院和 工程学院的数字信号处理小组。 基础设施支持多个领域的研究，其中许多领域 他们合作。 用于移动的通信的CDMA涉及几个 活动包括伪随机序列的设计， 最小化通信干扰，设计高效CPM 信号与网格编码，并确定基本限制 多个用户移动的信道的容量。 神经网络研究 nets涉及神经网络和学习的架构 算法 通信网络研究涉及研究 高速局域网和城域网中通信的桥接协议 LAN和分组无线电网络。 更多数学研究 主题包括计算代数和代数模型 编译器正确性 数字信号处理研究涉及 听觉研究，高阶谱，图像处理，自适应 信号处理方法和联合信源编码理论。 信号处理是计算机的一个自然的协作领域 科学家和电气工程师。 替代模拟 数字技术需要更密集地使用 计算，以解释通信。 研究 这项基础设施赠款支持的工作包括如何使 本地网络彼此之间的通信良好， 网络，新算法的发展，以摆脱噪音， 优化通信链路的信息承载能力， 算法的发展将允许计算机网络 和手机网络的工作方式一样， 致力于研究学习的数学基础，代数， 和编译器。

This Institutional Infrastructure award to Northeastern University is for the development of a networked environment of powerful workstations and servers linking the College of Computer Science and the Digital Signal Processing group in the College of Engineering. The infrastructure supports research in a number of areas, many of them collaborative. CDMA for mobile communications involves several activities including the design of pseudorandom sequences for minimizing communication interference, the design of efficient CPM signals with trellis coding, and determining the fundamental limits on the capacity of multiple user mobile channels. Research on neural nets involves both architectures for neural nets and learning algorithms. Communication network research involves studying protocols for communications in high speed LANs and MANs, bridging LANs, and packet radio networks. Research on more mathematical topics includes computational algebra and algebraic models for compiler correctness. Digital signal processing research involves studies of hearing, high order spectra, image processing, adaptive signal processing methods, and joint source coding theory. Signal processing is a natural collaborative area for computer scientists and electrical engineers. The replacement of analog techniques by digital techniques requires a much more intensive use of computation in order to interpret communications. The research supported by this infrastructure grant includes work on how to make local networks communications well amongst themselves and other networks, the development of new algorithms to get rid of noise and to optimize the information carrying capacity of communications links, the development of algorithms that will allow networks of computers to work the same way as cellular phone networks, and more theoretical work in studying the mathematical underpinnings of learning, algebra, and compilers.