Description
Scientific calculator. Allows to perform caclulation with high precicion and implements most populatr mathematical functions: sin, cos, tan, asin, acon, atan, exp, log, sqr, floor and ceil. Also it make it possible to define your own function, store results in variables and use variable sin expressions. Calculator store al formuls you have entered. Plot function can be used to draw graph of function with single argument.
More detailed description of calculator is here.
as a message came into prominence with the publication in 1948 of an influential paper by Claude Shannon, "A mathematical Theory of Communication." This paper provides the foundations of information theory and endows the word information not only with a technical meaning but also a measure. If the sending device is equally likely to send any one of a set of N messages, then the preferred measure of "the information produced when one message is chosen from the set" is the base two logarithm of N (This measure is called self-information). In this paper, Shannon cont
《A mathematical theory of communication》，Shannon信息論的開山之作，此文可以看作是現代通信的理論基礎。文中提出熵作為信息的度量，個人認為仍是不可替代的。在量子信息中提出的量子信息熵，可以看作是一種模仿。學理工科的人都應該好好學習看看。當然，同時期的蘇聯科學家從數學的角度（概率論）給出了幾乎一模一樣的結果。只是過程更加抽象與嚴謹。
Bulletin of the American mathematical Society Volume 49 issue 1 1943 [doi 10.1090_s0002-9904-1943-07818-4] Courant, R. -- Variational methods for the solution of problems of equilibrium and vibratio
The field of digital communication has evolved rapidly in the past few
decades, with commercial applications proliferating in wireline communi-
cation networks (e.g., digital subscriber loop, cable, fiber optics), wireless
communication (e.g., cell phones and wireless local area networks), and stor-
age media (e.g., compact discs, hard drives). The typical undergraduate and
graduate student is drawn to the field because of these applications, but is
often intimidated by the mathematical background necessary to understand
communication theory.
In general there are three different techniques for performance evaluation of
systems and networks: mathematical analysis, measurements, and computer
simulation. All these techniques have their strength and weaknesses. In the
literature there are plenty of discussions about when to use which technique,
how to apply it, and which pitfalls are related to which evaluation technique.
Before delving into the details of orthogonal frequency division multiplexing (OFDM), relevant
background material must be presented first. The purpose of this chapter is to provide the necessary
building blocks for the development of OFDM principles. Included in this chapter are reviews of stochastic
and random process, discrete-time signals and systems, and the Discrete Fourier Transform (DFT). Tooled
with the necessary mathematical foundation, we proceed with an overview of digital communication
systems and OFDM communication systems. We conclude the chapter with summaries of the OFDM
wireless LAN standards currently in existence and a high-level comparison of single carrier systems versus
OFDM.
The purpose of this book is to introduce the concept of the Multiple Input Multiple Output
(MIMO) radio channel, which is an intelligent communication method based upon using
multiple antennas. The book opens by explaining MIMO in layman’s terms to help stu-
dents and people in industry working in related areas become easily familiarised with the
concept. Therefore the structure of the book will be carefully arranged to allow a user to
progress steadily through the chapters and understand the fundamental and mathematical
principles behind MIMO through the visual and explanatory way in which they will be
written. It is the intention that several references will also be provided, leading to further
reading in this highly researched technology.
