Freeware Downloads for "Noisy Maxtor"

The Maxtor Central Axis adds storage to your network, backs up files across every compatible computer on your network, streams music, videos and photos from your drive to your home entertainment system, and allows you to remotely access and share backed up files via the web.

In order to successfully install Maxtor Central Axis Manager Client onto your PC you need to follow these steps:

1. After downloading and burning the CD ISO image to disk, run the CD and click on the Install Maxtor Central Axis Icon.

  • Platform: Windows
  • Publisher: Seagate
  • Date:
  • Size: 403927 KB

This version of the Maxtor Manager software, and firmware converts your Maxtor Shared Storage II into a Maxtor Central Axis, allowing you to securely access and share the contents of your Maxtor Shared Storage II over the Internet.

Give Maxtor Shared Storage II to Central Axis a try to fully assess its capabilities!.

  • Platform: WinOther
  • Publisher: seagate
  • Date:
  • Size: 186368 KB

If you own a Maxtor Shared Storage Drive you'll need Maxtor Shared Storage Quick Start in order to access the features for drag and sort and more. The device must be running Firmware Revision 2.4.2 or newer..

  • Platform: WinOther
  • Publisher: seagate.com
  • Date:
  • Size: 19742 KB

In order to have Maxtor Shared Storage II 2000/XP and Mediacenter properly installed onto your computer you have to follow these simple steps:

1. After downloading and burning the CD ISO image to disk, or if you are using the zip version (unzip the files into a new folder). Insert the CD and click Run Launch.exe after the AutoPlay box displays.

2. From the main menu, click Install Software.

3. Click Yes when prompted to continue. The software will prepare to install.

  • Platform: WinOther
  • Publisher: seagate
  • Date:
  • Size: 126136 KB

Calculates the average log-spectral distance between CLEAN and NOISY signals. It has the capability of calculating this distance for a specified sub-band as well. This measure is used for evaluation of processed speech quality in comparison to the original speech..

Wiener Filter for Noisy Speech Enhancement, implemented as proposed by Scalart 1996. Uses a decision directed method to track the a priori SNR. Note that the first 0.25sec of the signal is used to model the noise, that is, it is assumed that speech starts after that 0.25sec.

Spectral Subtraction method proposed by berouti for enhancement of noisy speech signals..

Calculates the average log-spectral distance between CLEAN and NOISY signals. Has the option of calculating this distance for speech active periods only. Also you can select a frequency range to study the distance in a sub-band..

In order to haveMaxtor Shared Storage II Vista properly installed onto your computer you have to follow these simple steps:

1. After downloading and burning the CD ISO image to disk, or if you are using the .zip version from the web site. Insert the CD and click Run Launch.exe after the AutoPlay box displays.

Note: In the event that the AutoPlay window does not open, click Start Computer. Browse to and select the drive letter associated with the MSS II software. Double-click Launch (may appear as Launch.

  • Platform: WinOther
  • Publisher: seagate
  • Date:
  • Size: 152115 KB

Free high-quality video denoiser plugin for VirtualDub. Easy to use.
The filter is designed for noisy video stream processing, video quality improvement, or video preprocessing, e.g. for preprocessing before compression or deinterlacing.
Allows flexible denoising level setup in temporal and spatial dimensions.
The filter suppresses noise in both spatial and temporal domains. For each type of denoising different properties could be set in the propery box. With specific combinations, spatial-only or temporal-only denoising could be enabled.

Test your hard disk drive with this Festplatten-Info.de windows application. The program supports following hard drive types: Western Digital, Samsung, Trekstor, Freecom, Seagate, Maxtor and IBM hard disks. The Festplatten Test Tool shows hard drive information of internal and external hard disk drives. For example it displays information about the partitions. Externe Festplatten Tests, Bewertungen - Testsieger, Angebote und Vergleich von externen Festplatten. Gadget and technology news..

Modern CD-ROM drives tend to be noisy and spin down too quickly. If your drive supports it, CD-ROM Tool can slow your drive down and keep it ready to read data for longer periods of time..

SIGPROC - a collection of signal processing programs developed forpulsar data reduction has been developed and maintained since 1999.The package is used to search for and visualize the presence ofpulsed signals in noisy radio astronomy data..

T33nyMUD. A TinyMUD compatible mud server, with options for just how old school you want it. No posing? Noisy whisper? You got it!.

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 track from a short snippet recorded via your cell phone in a noisy bar. I don't have the database to check if my version is quite that good, but it is able to rapidly match and locate a poor-quality excerpt from within a database of (at least) hundreds of tracks.

  • Platform: Matlab, Scripts
  • Publisher: Dan Ellis
  • Date: 09-04-2013
  • Size: 154 KB

clickfit_OH.m lets you mouse-click a series of datapoints on top of a (noisy) scatterplot and returns a spline or polynomial regression through the clicked dataseries. In addition the clicked series itself is returned. clickfit_OH.m uses an altered version of ginput.m (ginput_OH.m) that from the first click onward connects the mouse-pointer to the previous mouse click location by a line. USES: * ginput_OH by Oscar Hartogensis (inlcuded in zip-file) which includes the selectable cursor pointer option from MYGINPUT by F.

  • Platform: Matlab, Scripts
  • Publisher: Oscar Hartogensis
  • Date: 24-03-2013
  • Size: 61 KB

Computes an orthogonal basis from a given criteria. Options are identical to those of sortwvfrms: basis are computed by signal width, localization, and noise. The vectors are sorted by the given criteria, projected onto a subspace orthogonal to the previously sorted vectors, and sorted in that subspace, then projected, etc. For example, in the case that 'width' is used as a sorting option, this function first finds the most 'compact' waveform among the entire set: that is, the waveform with with the smallest width.

  • Platform: Matlab, Scripts
  • Publisher: Joshua Carmichael
  • Date: 24-05-2013
  • Size: 10 KB

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 data with ND functions. Several tests are compiled in the file fit_test.m. Reading and trying out this file will explain a lot. fit_nl.m and fit_nl_ex.m are written around the matlab functions lsqcurvefit/ fmincon/fminsearch.

  • Platform: Matlab, Scripts
  • Publisher: Jan
  • Date: 24-05-2013
  • Size: 31 KB

Non Convex Optimization Algorithms for Group Sparsity Solves a dummy OFDM sparse channel estimation problem Reweighted Lm,p algorithm for noiseless case min||x||_m,p s.t. y = Ax Reweighted Lm,p algorithm for noisy case min||x||_2,p s.t. ||y - Ax||_q Smoothed L2,0 algorithm solves a smooth version of min||x||_2,0 s.t. y = Ax Reweigted Lm,p is an extension of the Lp algorithm proposed in: Rick Chartrand and Wotao Yin, "Iteratively reweighted algorithms for compressive sensing", in 33rd International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008 Smoothed L2,0 is the group version of the SL0 algorithm: Hossein Mohimani, Massoud Babaie-Zadeh, Christian Jutten, "A fast approach for overcomplete sparse decomposition based on smoothed L0 norm", IEEE Transactions on Signal Processing, Vol.

  • Platform: Matlab, Scripts
  • Publisher: Angshul Majumdar
  • Date: 06-05-2013
  • Size: 10 KB

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() This function finds peaks without taking first or second derivatives, rather it uses local slope features in a given data set. The function has four basic modes. Mode 1: peakfind(x_data,y_data) simply finds all peaks in the data given by 'xdata' and 'ydata'.

  • Platform: Matlab, Scripts
  • Publisher: Tristan Ursell
  • Date: 11-02-2013
  • Size: 10 KB

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