Noisy Oyster Akron Oh

Zotero [zoh-TAIR-oh] is a free, easy-to-use tool to help you collect, organize, cite, and share your research sources. It lives right where you do your work - in the web browser itself. Zotero is the only research tool that automatically senses content, allowing you to add it to your...

Oh my god! A man has caught so many bugs and put them in the bottles! A bee can only survive 20 seconds without air even butterflies can survive a bit longer they are all going to die ..... BUT WAIT!! What's that? Is that a bird? Is that superma

Moo-O (pronounced as "Moo-OH") is a fun and engaging platform that encourages children to read expressively as they become the characters in the stories. With the help of a webcam and a microphone, Moo-O immerses children in the story that they


Platforms: Mac

Oh no! The reindeer all got out and you have to help get them back in the coral. Reindeer Match'em Up is a matching game with the 8 splendidly drawn reindeer figures. Kids really seem to enjoy the match'em up activity and ask to play it again and again.


Platforms: Mac

Oh no! The aphids are starving and they want to eat flowers. There are many obstacles so they need your help! Don't let them be hungry! Special features:?? ? 3 game worlds with 45 fun levels(a lot more to come)? ? Realistic phy


Platforms: Mac

This function quickly finds local peaks or valleys (local extrema) in a noisy vector using a user defined magnitude threshold to determine if each peak is significantly larger (or smaller) than the data around it. The problem with the strictly derivative based peak finding algorithms is that if...


Platforms: Matlab

This landmark-based audio fingerprinting system is able to match short, noisy snippets to a reference database in near-constant time.This is my implementation of the music audio matching algorithm developed by Avery Wang for the Shazam service. Shazam can identify apparently any commercial music...


Platforms: Matlab

Computes an orthogonal basis from a given criteria. Options are identicalto those of sortwvfrms: basis are computed by signal width, localization, andnoise. The vectors are sorted by the given criteria, projected onto asubspace orthogonal to the previously sorted vectors, and sorted in...


Platforms: Matlab

How to fit a 2D Gaussian function to noisy data in Matlab? Or data with another number of dimensions and arbitrary fit function?It took me a while to find out how Matlab does this by the functions lsqcurvefit, fmincon or fminsearch. This project demonstrates how to use these functions to fit ND...


Platforms: Matlab

PEAKFIND general 1D peak finding algorithm peakfind(x_data,y_data) peakfind(x_data,y_data,upsam) peakfind(x_data,y_data,upsam,gsize,gstd) peakfind(x_data,y_data,upsam,htcut,'cuttype') peakfind(x_data,y_data,upsam,gsize,gstd,htcut,'cuttype') [xpeaks]=peakfind() [xout,yout,peakspos]=peakfind()...


Platforms: Matlab

A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting. It can find and...


Platforms: Matlab

RLS is one of the great adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of RLS algorithm. The weights of the estimated system is nearly identical with the real one.A reference is used to write the algorithm.


Platforms: Matlab

NLMS is one of the adaptive filter algorithms. In this file ,an experiment is made to identify a linear noisy system with the help of NLMS algorithm. The weights of the estimated system is nearly identical with the real one. Also , adaptive learning rate has been applied.A reference is used to...


Platforms: Matlab

The extended Kalman filter can not only estimate states of nonlinear dynamic systems from noisy measurements but also can be used to estimate parameters of a nonlinear system. A direct application of parameter estimation is to train artificial neural networks. This function and an embeded example...


Platforms: Matlab

Noisy environments make difficult the pattern recognition tasks. In this sense, and due to the artifacts that are present in the acquisition process, the most of the biomedical images (i.e. coming from magnetic resonance tests) become noisy and it is complicated even to define a Region Of...


Platforms: Matlab

The spectral Subtraction Method for enhancement of noisy speech signals proposed by Boll 79. The method implements spectral averaging and residual noise reduction proposed in the paper. Note that the first 0.25 sec of the speech signal is assumed to be noise only and is used to model the noise...


Platforms: Matlab

Description of program: I made program for 2 channel filters and 3 functions of non linearity. equalizer is modeled using both LMS and RLS algorithms from the output of the channel filter. And the delayed input is compared to the output of the equalizer and the error is used to model the...


Platforms: Matlab

One way to actuate a SimMechanics model is by providing its Actuator blocks with 'Motion' signals. The input to a 'Motion' actuator is a three-element vector containing position, velocity and acceleration signals.In many applications, the only data that is available is the position. This raises...


Platforms: Matlab

Generate the diffusion gradient vector field as in Xu and Prince 1998dgvf_calc is the three dimensional extension of the 2D version described in Equation 12Xu and Prince 1998,"Snakes, Shapes, and Gradient Vector Flow", IEEE Transactions on Image Processing Vol.7(3)Input:I: three dimensional image...


Platforms: Matlab

This is a simple filter that converts noisy data of arbitrary amplitude to 1s and 0s.The input is an array of the raw data, and a new array of 1s and 0s of equivalent array length is returned.The function uses simple edge detection. The maximum and minimum amplitude of the array is stored, and...


Platforms: Matlab