Frank Dietrich – författare

Frank and Albert Dietrich were identical twins whose lives took very different directions during World War II. Drafted into the Army Air Corps and trained as a radio operator, Frank was shipped to the Philippines in 1945, where as a sergeant in the Fifth Air Force he prepared for the invasion of Japan. Albert, a pacifist, struggled mightily to become a conscientious objector and spent two years building dams, saving farmland, and helping the poor at Civilian Service Camps in South Dakota, Iowa, and Florida.Raised in a close, religious, Pittsburgh family, Frank and Albert were inseparable as boys, sharing a strong social conscience. Divided by war, they kept in touch by writing hundreds of letters to each other. The correspondence concerns everything from the daily drudgery of service—loneliness, lousy food—to heartfelt debates about war, peace, and patriotism.This absorbing selection of letters offers fresh perspectives on the American experience during World War II. The first published correspondence between GI and CO brothers, the letters are an uncommonly articulate chronicle of military service and life on the home front, including GI marriage and parenthood. Back and forth, Frank and Albert also argued about the uses of armed force and pacifist nonviolence in the face of fascism and Nazism.Frank Dietrich's letters from Manila are vivid descriptions of a liberated city under an uneasy occupation. Albert provides an insider's view of the pacifist experience, especially the protracted efforts pacifists often had to wage to obtain CO status. Together, the letters bring to life different ways Americans chose to serve their country during one of its most dangerous and demanding times.

The new series of Ideen&Argumente subscribes to the ideal of a pluralist and open culture of argument and debate and presents well-produced volumes on topics and questions which make substantive or methodologically important contributions to contemporary philosophy. The publications are designed to effect a productive synergy between the Anglo-Saxon and Continental European philosophical traditions. Ideen&Argumente provides a platform for outstanding systematically oriented original editions and German first editions from all areas of Theoretical and Practical Philosophy. A welcome is extended to programmatic monographs from whatever philosophical direction. The aim is to highlight anew the thematic and methodological richness of contemporary philosophy.

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.In this book, a systematic treatment of this practical design problem is provided for signal processing in the physical layer with multiple antennas. The design of robust signal processing algorithms is based on a description of the errors and the uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations give the necessary background and context to the reader.The book provides detailed derivations and enlightening insights into the related technical problems covering the following topics in detail: An overview of the principles of training-based multiple-input multiple-output (MIMO) channel estimation. Robust minimax estimation of the wireless communication channel. Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency. Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference). Interpolation of band-limited autocovariance sequences. Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, robust vector precoding, nonlinear beamforming).

Optimization of adaptive signal processing algorithms for wireless communications is based on a model of the underlying propagation channel. In practice, this model is never known perfectly. For example, its parameters have to be estimated and are only known with significant errors.In this book, a systematic treatment of this practical design problem is provided for signal processing in the physical layer with multiple antennas. The design of robust signal processing algorithms is based on a description of the errors and the uncertainties in the system's model. It applies principles of modern estimation, optimization, and information theory. Tutorial introductions to relevant literature and mathematical foundations give the necessary background and context to the reader.The book provides detailed derivations and enlightening insights into the related technical problems covering the following topics in detail: An overview of the principles of training-based multiple-input multiple-output (MIMO) channel estimation. Robust minimax estimation of the wireless communication channel. Robust minimax prediction of the wireless communication channel based on the maximum Doppler frequency. Identification of channel and noise correlations (power delay profile, spatial and temporal correlations, spatial correlations of interference). Interpolation of band-limited autocovariance sequences. Robust linear and nonlinear precoding for the multi-user downlink with multiple antennas which is based on incomplete channel state information or channel correlations (performance measures, duality, robust Tomlinson-Harashima precoding, robust vector precoding, nonlinear beamforming).