In 'Memoir of William Watts McNair' by J. E. Howard, readers are immersed in a deeply personal account of the life of William Watts McNair, a man of great significance in the literary world. The book is written in a poignant and reflective style, allowing readers to connect with the emotions and experiences of the subject. It provides a unique insight into the literary context of the time, shedding light on McNair's contributions and impact on his contemporaries. The vivid descriptions and vivid characterizations make this memoir not only a captivating read but also a valuable literary resource. Howard's attention to detail and the intricate narrative structure enhances the reading experience, making it a must-read for lovers of biographical literature. J. E. Howard, known for his insightful writing and detailed research, delves into the life of McNair with passion and sincerity. His fascination with McNair's character and achievements is evident throughout the book, demonstrating his dedication to preserving the legacy of this literary figure. Howard's expertise in the field of biography shines through in this meticulously crafted memoir, offering readers a comprehensive and engaging account of McNair's life and work. I highly recommend 'Memoir of William Watts McNair' to anyone interested in exploring the life of a renowned literary figure from a bygone era. Howard's masterful storytelling and intimate portrayal of McNair make for a captivating and enlightening read, sure to leave a lasting impression on all who delve into its pages.

The functional design of a decision-theoretic adaptive radar (DTAR) is outlined with a comparison among scanning, multiple-beam, and parallel-antenna-element transmitting and receiving systems. Decision-theoretic antenna processing is operationally contrasted with conventional processing. The performance of DTAR is evaluated for single-target detection and estimation and contrasted with the performance of conventional processors. Average Bayes risk is used as a performance criterion. The multiple-target hypothesis testing and estimation problem is formulated and solved for a uniform clutter environment. A suboptimum estimator is developed to ease computational difficulties. A simplified decision tree is developed and proved optimum. Range and velocity measurements are designed by analogy with antenna array theory. A frequency-sampling coherent radar results. (Author).

The target-detection capability of a proposed decision-theoretic processing array is compared with that of highly sophisticated conventional arrays. The decision-theoretic system performs a multidimensional hypothesis test on the vector of outputs of the elements of the array, while the conventional radar system performs a similar, but one-dimensional, test on the summed outputs of the elements. The quality criterion used is the average risk, or the average probability of error in decision making. The test is between target present or target absent in a background of heavy ground clutter. Probability-of-error computations show that the decision-theoretic array is always superior to the conventional array. Its performance is essentially independent of the location of the target; it detects targets anywhere within the field of view, requires no scanning, and is fixed relative to the vehicle that carries it. The effect on overall risk of various types of errors made in assuming a priori probability distributions, both uniform and peaked, is also considered for decision theoretic systems. The proposed system is shown to be relatively insensitive to the types of errors considered. The instrumentation of such a system is illustrated by a system block diagram developed for an a priori uniform probability distribution of target position. (Author).