A Web Tutorial on Discrete Features of Bayes Decision Theory
This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as the priors, and the conditional likelihoods of each feature with respect to each class, the changing decision boundary will be displayed.
This a generic PCI express device driver that enable user to access the device without caring much of the PCI express protocol in user mode. An utility program was built to help user in developing the application based on the given skeleton.
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 code is described in "Computational Geometry in C" (Second Edition),
Chapter 8. It is not written to be comprehensible without the
explanation in that book.
Prints out one arm configuration to reach given target.
Assumes number of links >= 3.
Input:
nlinks Number of links
L1 L2 ... Ln Link lengths
x0 y0 target0
x1 x2 target1
* acousticfeatures.m: Matlab script to generate training and testing files from event timeseries.
* afm_mlpatterngen.m: Matlab script to extract feature information from acoustic event timeseries.
* extractevents.m: Matlab script to extract event timeseries using the complete run timeseries and the ground truth/label information.
* extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic event timeseries for a given run and set of nodes.
* sfm_mlpatterngen.m: Matlab script to extract feature information from esmic event timeseries.
* ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module.
?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module.
?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
A major goal of this book is to show to make devices that are inherently reliable by design. While a lot of attention has been given to “quality improvement,” the majority of the emphasis has been placed on the processes that occur after the design of a product is complete. Design deficiencies are a significant problem, and can be exceedingly difficult to identify in the field. These types of quality problems can be addressed in the design phase with relatively little effort, and with far less expense than will be incurred later in the process. Unfortunately, there are many hardware designers and organizations that, for various reasons, do not understand the significance and expense of an unreliable design. The design methodology presented in this text is intended to address this problem.
獨立flash播放器！This the developer’s wiki for Gnash and related projects. Content on these pages may not represent the official position of the Gnash team. You must register and be given access by the administrator to be able to write to the wiki registration is free, it’s friendly, and it stops spammers.
This a GUI based system. The GUI is invoked from the command line by typing "ui_start". The GUI is self explanatory.
Tool tips are given in blue color. The cursor needs to be positioned on these for detailed explanation. The main file is
"runsim.m". In these simulations the SISO option is not explicitly given. This is because the SISO result for a particular
type of modulation is shown in every plot for purposes of comparison.
This software has been tested on MATLAB version 6.0 and above with signal processing and communication toolbox options.
This chapter contains sample programs for determining capacity. The reader is advised to go through the coding. The
file "capacity_water.m" is for measuring the waterfilling capacity. It should be made to work with a file similar to
"capacity_plot_main.m". The latter file deals with all the other capacity plots given in the book in Chapter 2.
All programs are verified with MATLAB versions 6.0 and above with signal processing and communications toolboxes.
MS-Clustering is designed to rapidly cluster large MS/MS datasets. The program merges similar spectra (having similar m/z values ?within a given tolerance), and creates a single consensus spectrum as a representative. The input formats accepted are: dta, mgf, mzXML. The output format is mgf.
