Alan T. Waterman Award

加州理工学院的数学家伊曼纽尔·坎迪斯（Emmanuel Candes）被选为美国国家科学委员会（National Science Board）著名的艾伦·T.沃特曼奖坎迪斯开发了新的数学工具，可以有效地用数字表示波信号，他还发现了将模拟数据转换为更清晰、更紧密的数字形式的新方法，这些工作有望改善大量现代技术中信号的数字处理。随着数字技术的出现，将模拟信息忠实地转换成数字表示一直是一个主要的挑战。转换方法称为采样，必须从模拟对象中选择足够的信息，以便以数字形式充分再现。最近，Candes开发了一种新的采样机制，可以从比传统方法使用的数据位少得多的数据位中忠实地恢复信号和图像。这种新的采样理论可能会成为同时更快地采样和压缩数据的协议的基础。坎迪斯说：“在实践中，这意味着人们可以从几个传感器中获得超分辨率的信号。“年度沃特曼奖旨在表彰由美国国家科学基金会（NSF）支持的任何科学或工程领域的杰出年轻研究人员。候选人不得超过35岁，或获得博士学位后7年。除了奖章外，获奖者还将在3年内获得50万美元的赠款，用于在获奖者选择的机构进行数学，物理，医学，生物，工程，社会或其他科学的科学研究或高级研究。

Emmanuel Candes, a mathematician at the California Institute of Technology, has been selected to receive the National Science Board's prestigious Alan T. Waterman Award. The board cited Candes' development of new mathematical tools that allow efficient digital representation of wave signals, together with his discovery of new methods to translate analog data into a cleaner, tighter digital form--work that promises to improve the digital processing of signals in a vast array of modern technologies.With the advent of digital technologies, translating analog information faithfully into digital representations has been a major challenge. The translating method, called sampling, must select enough information from the analog object to adequately reproduce it in digital form. Otherwise, key information may be lost.Recently, Candes developed a new sampling mechanism that allows the faithful recovery of signals and images from far fewer data bits than traditional methods use. This new sampling theory may come to underlie protocols that sample and compress data simultaneously and much faster. "In practice," Candes said, "this means one could obtain super-resolved signals from just a few sensors."The annual Waterman award recognizes an outstanding young researcher in any field of science or engineering supported by the National Science Foundation (NSF). Candidates may not be more than 35 years old, or seven years beyond receiving a doctorate. In addition to a medal, the awardee receives a grant of $500,000 over a 3-year period for scientific research or advanced study in the mathematical, physical, medical, biological, engineering, social, or other sciences at the institution of the recipient's choice.