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Digital Communication Systems Using SystemVue Da Vinci Engineering Press, Thomson Delmar Publishing 2006 SystemVue models of baseband and bandpass modulation and demodulation systems, time, frequency and code division multiplexing, synchronization and equalization, channel models, frequency hopping and discrete sequence spread spectrum, orthogonal frequency division multiplexing and baseband ...
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Department of Management Information Systems, Temple University
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Employer Engagement The Center for Student Professional Development (CSPD) supports the recruiting efforts of our employer partners through in-person and virtual programming, job postings and promotions. Contact us to develop your recruitment strategy for both undergraduate and graduate business students.
https://admissions.temple.edu/honors/academics/challenge-choice/honors-senior-project
The Honors Senior Project allows students to devote time, energy, and imagination to independent research under the guidance of a faculty member. This can be a passion project. Something you have always wanted to do. This is also an important and unique opportunity to pursue individual research interests and to really dig into a topic and understand it deeply. It is a chance to create ...
https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf
Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...
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Counseling and Therapy in Video provides an online collection of video available for the study of social work, psychotherapy, psychology, and psychiatric counseling. Videos include counseling sessions and demonstrations, consultations, lectures, presentations, and interviews. Includes some Psychotherapy.net videos.
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https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206750%20Camera%20Ready%20Version.pdf
1 Introduction Federated learning (FL) [Koneˇcn ́y et al., 2017], a widely-used framework for distributed machine learning, is a signif-icant research focus. Most FL algorithms, such as the clas-sic FedAvg, fall into Synchronous Federated Learning (SFL). They require the server to wait for all selected clients’ lo-cal training and uploads before aggregating updates, and as-sume uniform ...