To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm.
A new cable fault location method based on
wavelet reconstruction is proposed. In this method the
difference between the currents of faulty phase and sound
phase under the high voltage pulse excitation is used as the
measured signal and is decomposed in multi-scale by wavelet
transform, then reconstructed in single scale. Comparing with
traditional fault location method by travelling wave, the
presented method will not be interfered by the reflected wave
from the branch joint of cables or from other positions where
the impedances are not matched and not be influenced by fault
types, otherwise, the reflected waves can be recognized even
the faulty position is near to the measuring terminal, at the
same time, the influence of the wave speed uncertainty can be
reduced. The correctness of the proposed method is proved by
simulation results.
基于OFDM的無線寬帶系統仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
These tools are for use by developers so that they can create more robust applications. Especially of use to those developing multi-threaded applications in C++ with templates. Includes TCMalloc, heap-checker, heap-profiler and cpu-profiler. http://www.soft234.com
Intro/: Directory containing introductory examples.
HelloWorld.c A simple program that draws a box and writes "Hello World" in
HelloWorld.f it.
data The data file for the introductory progressive example.
Lines.c Reads the data from file "data" and plots just the curve with
Lines.f no labels, viewport or anything indicating quantity or units.
Viewport.c Restricts the graph to a viewport and frames the viewport,
Viewport.f leaving the remainder of the area for labels, etc.
CharLbls.c Adds labels for the chart title, X-axis title, and Y-axis
CharLbls.f title.
Tics.c Adds tic marks to the viewport edges, but since clipping was
Tics.f not set correctly, tics extend outside the viewport.
Clip.c Sets clipping such that tic marks are clipped at the viewport
Clip.f boundaries.
TicLabels.c Adds numeric tic labels to the graph this is the final
TicLabels.f installment of the progressive example.
飛機訂票系統，實現訂票，退票，查詢
the banking system relates to multi-threaded, socket programming, and Singleton design pattern. Notes for the complete source Gilmour, documentation, together with the development process
ExcpHook is an open source (see license.txt) Exception Monitor for Windows made by Gynvael Coldwind (of Team Vexillium). t uses a ring0 driver to hook KiExceptionDispatch procedure to detect the exceptions, and then shows information about the exception on stdout (using the ring3 part of the program ofc).
The difference between this method, and the standard debug API method it that this method monitores all of XP processes, and the program does not have to attach to any other process to monitor it, hence it s harder to detect.
The code currently is considered as ALPHA, and it has been reported to BSoD sometimes (on multi core/cpu machines). Take Care!
PlotSphereIntensity(azimuth, elevation)
PlotSphereIntensity(azimuth, elevation, intensity)
h = PlotSphereIntensity(...)
Plots the intensity (as color) of a number of points on a unit sphere.
Input:
azimuth (phi), in degrees
elevation (theta), in degrees
intensity (optional, if not provided, a green sphere is produced)
All inputs must be vectors or matrices of the same size. Data does not have to be evenly spaced. When there aren t enough points to draw a smooth sphere, additional points (with color) are interpolated.
Output:
h - a handle to the patch object
The axes are also plotted:
positive x axis is red
positive y axis is green
positive z axis is blue
A .zip file contains a series of scripts that were used in the MathWorks webinar "Using MATLAB to Develop Portfolio Optimization Models." The scripts generate 3D efficient frontiers for a universe of 44 stocks with time as the third axis. Additional scripts perform various ex-ante and ex-post analyses. Results are generated with and without market adjustments in the data. A readme.txt. file in the .zip folder describes each script and how to use it
