Seventh International Conference on Computational Harmonic Analysis

第七届计算谐波分析国际会议（ICCHA7）将于2018年5月14日至18日在田纳西州纳什维尔的范德比尔特大学举行，同时举行第33届Shanks年度会议和讲座。会议网站https://my.vanderbilt.edu/iccha7包含会议全体会议发言人名单和其他会议信息。计算谐波分析是分析和表示信息的一种基本工具，尤其受到数据结构复杂、大规模高维的现代应用的推动。计算谐波分析的应用包括许多国家技术感兴趣的领域，如数据科学、神经网络和人工智能、医学成像、雷达信号处理、编码理论和量子计算。会议将讨论计算谐波分析的最新理论突破、实践进展和新兴方向。全体会议发言人包括各种各样的专家，女性和早期职业科学家的代表也很多。会议的一个重要的更广泛的影响是支持学生、早期职业科学家和未被充分代表的少数民族的参与；会议将特别努力邀请这些团体的成员并为其提供旅行支助。将大力优先向没有其他旅费来源的人提供旅费支助，以便使那些否则无法参加会议的人能够参加会议。这将有助于通过在STEM领域培训代表性不足的群体，扩大和多样化美国在数学科学领域的人才库和劳动力。会议讨论的具体技术主题将包括但不限于：压缩感知、相位检索、卷积神经网络、小波和多尺度变换、帧理论、基于图的信号处理、时频分析、模数转换、信号和图像处理、量子计算和数学学习理论。这次会议的一个主要学术价值是提供了一个传播计算谐波分析最新进展的场所。会议将包括全体会议，以及在平行会议上举行的简短会谈和小型专题讨论会。参加者之间将有许多数学互动和合作的机会。这次会议将为从事计算谐波分析的数学家、工程师和其他领域的科学家提供一个跨学科的联系。

The Seventh International Conference on Computational Harmonic Analysis (ICCHA7) will take place at Vanderbilt University in Nashville, TN during May 14-18, 2018, in conjunction with the 33rd Annual Shanks Conference and Lecture. The conference website https://my.vanderbilt.edu/iccha7 contains a list of the conference plenary speakers and other conference information. Computational harmonic analysis is a fundamental tool for analyzing and representing information, and is especially motivated by modern applications where data has complex structure and massively high dimension. Applications of computational harmonic analysis include many areas of national technological interest such as data science, neural networks and artificial intelligence, medical imaging, radar signal processing, coding theory, and quantum computing. The conference will discuss the most recent theoretical breakthroughs, practical advances, and emerging directions in computational harmonic analysis. The plenary speakers include a diverse assortment of experts, and female and early career scientists are well-represented. An important broader impact of the conference is to support the participation of students, early career scientists, and underrepresented minorities; the conference will make a particular effort to invite and provide travel support to members of these groups. Travel support will be strongly prioritized to those without other sources of travel funding, so as to make the conference accessible those who would not otherwise be able to attend. This will contribute to expanding and diversifying the nation's talent pool and workforce in the mathematical sciences by contributing to the training of underrepresented groups in STEM fields.Specific technical topics addressed at the conference will include, but are not limited to: compressed sensing, phase retrieval, convolutional neural networks, wavelets and multiscale transforms, frame theory, graph-based signal processing, time-frequency analysis, analog-to-digital conversion, signal and image processing, quantum computation, and mathematical learning theory. A main intellectual merit of the conference is to provide a venue to disseminate recent advances in computational harmonic analysis. The conference will consist of plenary talks, as well as shorter talks and minisymposia in parallel sessions. There will be numerous opportunities for mathematical interaction and collaboration among the participants. The conference will provide an interdisciplinary link between mathematicians, engineers, and scientists from other fields who are working on computational harmonic analysis.