The extraordinary growth of the World Wide Web has been fueled by the ability it gives authors to easily and cheaply distribute electronic documents to an international audience. As Web documents have become larger and more complex, however, Web content providers have begun to experience the limitations of a medium that does not provide the extensibility, structure, and data checking needed for large-Scale commercial publishing. The ability of Java applets to embed powerful data manipulation capabilities in Web clients makes even clearer the limitations of current methods for the transmittal of document data.
This code was used for making the practical measurements in section 2.3 of my thesis. This Matlab code allows an OFDM signal to be generated based on an input data file. The data can be random data, a grey Scale image, a wave file, or any type of file. The generated OFDM signal is stored as a windows wave file, allowing it to be viewed, listened to and manipulated in other programs. The modified wave file can then be decoded by the receiver software to extract the original data. This code was developed for the experiments that I performed in my honours thesis, and thus has not been fully debugged.
This is the original code developed for the thesis and so has several problems with it. The BER performance given by the simulations is infact Symbol Error Rate.
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.
我用matlab寫的一個corner detector, 效果比現在流行的harris，susan，CSS等效果要好。
Algorithm is derived from:
X.C. He and N.H.C. Yung, Curvature Scale Space Corner Detector with Adaptive Threshold and Dynamic Region of Support , Proceedings of the 17th International Conference on Pattern Recognition, 2:791-794, August 2004.
Improved algorithm has been included in A Corner Detector based on Global and Local Curvature Properties and submitted to Optical Engineering.
The goal of our final project was to design an efficient elevator simulator that can accept input from a user and mechanically operate (on a small Scale) a system of 4 floors and 3 elevators using pulleys and stepper motors. Users enter input using physical pushbuttons or the computer. This input is then processed by the MCU and orders are given to the elevators. We attempted to devise an algorithm that can optimally handle any number of floors. This project seemed like a fun challenge and something that had practical applications. Both of us have been frustrated at times by the inefficiency of some of the elevators here at Cornell, and we wanted to see if we could do a better job.
This directory includes matlab interface of the curvelet transform
using usfft.
Basic functions
fdct_usfft.m -- forward curvelet transform
afdct_usfft.m -- adjoint curvelet transform
ifdct_usfft.m -- inverse curvelet transform
fdct_usfft_param.m -- returns the location of each curvelet in phase-space
Useful tools
fdct_usfft_dispcoef.m -- returns a matrix contains all curvelet coefficients
fdct_usfft_pos2idx.m -- for fixed Scale and fixed direction, returns
the curvelet which is closest to a certain point on the image
Demos
fdct_usfft_demo_basic.m -- display the shape of a curvelet
fdct_usfft_demo_recon.m -- partial reconstruction using curvelet
fdct_usfft_demo_disp.m -- display all the curvelet coefficients of an image
fdct_usfft_demo_denoise.m -- image denoising using curvelet
This a simple database management system. It doesn t use any other code (i.e. ODBC, ADO, etc.) and has it s own database file format. I wrote it because I found the other DBMSs code too bulky and hard to debug. It s designed for small applications and I doubt it could handle anything on a large Scale. A sample program included in the .zip shows how everything works. The database project is a library project, so you ll have to compile and link with the .lib file to get everything working. Pros: - You have the source code so you know exactly what it is doing - Database files are very small - Small and fast code Cons: - Can t handle large amounts of records (more than 65000ish) - Doesn t support SQL (you have to search the database by cycling through the records and testing them against your constraints) - Each database file can only have one table.
