This book was written as a first treatment of statistical com
munication theory and communication systems at a senior graduate
level. The only formal prerequisite is a knowledge of ele mentary
calculus; however, some familiarity with linear systems and
transform theory will be helpful. Chapter 1 is introductory and
contains no substantial techni cal material. Chapter 2 is an
elementary introduction to probability theory at a nonrigorous and
non abstract level. It is essential to the remainder of the book
but may be skipped (or reviewed has tily) by any student who has
taken a one-semester undergraduate course in probability. Chapter 3
is a brief treatment of random processes and spec tral analysis. It
includes an introduction to shot noise (Sections 3.14-3.17) which
is not subsequently used explicitly. Chapter 4 considers linear
systems with random inputs. It includes a considerable amount of
material on narrow-band sys tems and on the representation of
random processes. Chapter 5 treats the matched filter and the
linear least mean-squared-error filter at an elementary level but
in some detail. Numerous examples are provided throughout the book.
Many of these are of an elementary nature and are intended merely
to illustrate textual material. A reasonable number of problems of
varying difficulty are provided. Instructors who adopt the text for
classroom use may obtain a Solutions Manual for most of the
problems by writing to the author."
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