Example - 3-D Stem Plot of an FFTFor example, fast Fourier transforms are calculated at points around the unit circle on the complex plane. So, it is interesting to visualize the plot around the unit circle. Calculating the unit circle.
Core JSP
In recent years, a large amount of software development activity has migrated from
the client to the server. The client-centric model, in which a client executes complex
programs to visualize and manipulate data, is no longer considered appropriate for the
majority of enterprise applications. The principal reason is deployment—it is a
significant hassle to deploy client programs onto a large number of desktops, and to
redeploy them whenever the application changes. Instead, applications are redesigned
to use a web browser as a "terminal". The application itself resides on the server,
formatting data for the user as web pages and processing the responses that the user fills into web forms.
Advanced_modelling_in_finance_using_Excel_and_VBA(pdf) The book adopts a step-by-step approach to understanding the more sophisticated aspects of Excel macros and VBA programming, showing how these programming techniques can be used to model and manipulate financial data, as applied to equities, bonds and options. The book is essential for financial practitioners who need to develop their financial modelling skill sets as there is an increase in the need to analyse and develop ever more complex what if scenarios.
PTypes (C++ Portable Types Library) is a simple alternative to the STL that includes multithreading and networking. It defines dynamic strings, variants, character sets, lists and other basic data types along with threads, synchronization objects, IP sockets and named pipes. PTypes also offers message queues as an alternative method of thread synchronization. Its main `target audience is developers of complex network daemons, robots or non-visual client/server applications of any kind
Just what is a regular expression, anyway?
Take the tutorial to get the long answer. The short answer is that a regular expression
is a compact way of describing complex patterns in texts. You can use them to search
for patterns and, once found, to modify the patterns in complex ways. You can also use
them to launch programmatic actions that depend on patterns.
A tongue-in-cheek comment by programmers is worth thinking about: "Sometimes you
have a programming problem and it seems like the best solution is to use regular
expressions now you have two problems." Regular expressions are amazingly
powerful and deeply expressive. That is the very reason writing them is just as
error-prone as writing any other complex programming code. It is always better to
solve a genuinely simple problem in a simple way when you go beyond simple, think
about regular expressions.
Tutorial: Using regular expressions
Real-Time Digital Signal Processing
Implementations, Applications, and Experiments with the TMS320C55x
John Wiley & Sons, Inc. 2001
By Sen M. Kuo and Bob H. Lee
4.6.1 Experiment 4A - Twiddle Factor Generation
4.6.2 Experiment 4B - complex Data Operation
4.6.3 IExperiment 4C - mplementation of DFT
4.6.4 Experiment 4D - Experiment Using Assembly Routines
This file contains a selection of VHDL source files which serve to illustrate the diversity and power of the language when used to describe various types of hardware. The examp
terms of basic logic gates, to more complex systems, such as a behavioural model of a microprocessor and associated memory. All of the examples can be simulated using any
synthesised using current synthesis tools.
ofdm信道特性
Channel transmission simulator
Channel transmission simulator
%
% inputs:
% sig2 - noise variance
% Mt - number of Tx antennas
% Mr - number of Rx antennas
% x - vector of complex input symbols (for MIMO, this is a matrix, where each column
% is the value of the antenna outputs at a single time instance)
% H - frequency selective channel - represented in block-Toeplitz form for MIMO transmission
% N - number of symbols transmitted in OFDM frame
%
% outputs:
% y - vector of channel outputs (matrix for MIMO again, just like x matrix)
% create noise vector sequence (each row is a different antenna, each column is a
% different time index) note: noise is spatially and temporally white