Current time: 26-10-2014, 03:05 AM Hello There, Guest! LoginRegister)
View New Posts | View Today's Posts


Some Information About

matlab code for eeg signal

is hidden..!! Click Here to show matlab code for eeg signal's more details..
Do You Want To See More Details About "matlab code for eeg signal" ? Then

.Ask Here..!

with your need/request , We will collect and show specific information of matlab code for eeg signal's within short time.......So hurry to Ask now (No Registration , No fees ...its a free service from our side).....Our experts are ready to help you...

.Ask Here..!

In this page you may see matlab code for eeg signal related pages link And You're currently viewing a stripped down version of content. open "Show Contents" to see content in proper format with attachments
Page / Author tags

matlab code for eeg signal generation


Posted by:
Created at: Monday 03rd of December 2012 11:42:34 PM
Last Edited Or Replied at :Sunday 03rd of February 2013 11:46:33 PM
eeg signal generation , matlab code for eeg signal, help for codes for generation of eeg signal using matlab , matlab code for eeg signal generation, matlab code for eeg signals , seminar for eeg, seminarprojects net matlab code for eeg generation , eeg signals using matlab, matlab coding for eeg signal , coding for eeg signals, signal generation seminar ,
Times [/si..................[:=> Show Contents <=:]



cognitive radio systems


Posted by: computer science crazy
Created at: Sunday 20th of September 2009 05:35:46 AM
Last Edited Or Replied at :Sunday 20th of March 2011 09:27:11 AM
cognitive radio for flexible mobile multimedia communications , cognitive radio forum, cognitive radio for dummies , cognitive radio femtocell, cognitive radio fcc , cognitive radio for smart grid communications, cognitive radio energy detection , cognitive radio emergency services, cognitive radio explained , cognitive radio bbc, cognitive radio block diagram , cognitive radio basics, cognitive radio book , cognitive radio benefits, cognitive radio blog , cognitive radio brain empowered wireless communications, cognitive radio , systems, radio , cognitive, cognitive radio basics , easy seminar topic in cognitive radio ieee, cognitive radio , seminar topics on cognetive radio, cognitive , classification of cognitive radio, seminar topics on applications of cognitive radio in intelligent transportation system , neural networks sinr channel gain in cognitive radio, pictures of cognitive radio , matlab code energy based spectrum sensing in cognitive radio energy threshold based algorithm, congntive radio , cognitive radio networks, cognitive radios , cognitve radipo energy efficiency matlab codings, power allocation in cognitive radio networks ,
sensing task among the coordinating nodes as

well as spectrum access to determine the timing for transmission.

Spectrum mobility: If a PU is detected in the specific portion of the spectrum in use, CR usersshould vacate the spectrum immediately and continue their communications in another vacant portion of the spectrum. For this, either a new spectrum must be chosen or the affected links may be circumvented entirely. Thus, spectrum

mobility necessitates a spectrum handoff scheme to detect the link failure and to switch thecurrent transmission to a new route or a new spectrum band wit..................[:=> Show Contents <=:]



Face Recognition Using Laplacian faces


Posted by: computer science crazy
Created at: Thursday 17th of September 2009 11:45:22 AM
Last Edited Or Replied at :Monday 19th of November 2012 01:44:11 AM
faces , Laplacian, Using , Recognition, Face , laplacian face recognition matlab, matlab codes for face recognition using lpp , image authentication and image processing using independent component anlysis, laplacianfaces , face recognition using lpp,
ator on the face manifold. In this way, the unwanted variations resulting from changes in lighting, facial expression, and pose may be eliminated or reduced.
Theoretical analysis shows that PCA, LDA, and LPP can be obtained from different graph models. We compare the proposed Laplacianface approach with Eigenface and Fisherface methods on three different face data sets. Experimental results suggest that the proposed Laplacianface approach provides a better representation and achieves lower error rates in face recognition. Principal Component Analysis (PCA) is a statistical method under the br..................[:=> Show Contents <=:]



Seminar Report On SCALE-FREE NETWORK


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 02:59:30 PM
Last Edited Or Replied at :Saturday 13th of June 2009 02:59:30 PM
example of scale free network, wikipedia scale free network , barabasi scale free network, scale free network topology , scale free network with, scale free network barabasi , scale free network degree distribution, scale free network definition , scale free network model, scale free network matlab , scale free network growth by ranking, scale free network algorithm , SCALE FREE NETWORK, NETWORK , SCALE FREE, Report , Seminar, disadvantages of scale free networks , scale free networks, confidential data storage and deletion paper presentation slides submitted by cochin university , scale free network generation matlab codes spread of disease and vaccination,
ns, though, what if doctors targeted the hubs, or
the most connected individuals? Research in scale-free networks indicates that
this alternative approach could be effective even if the immunizations reached
only a small fraction of the overall population, provided that the fraction
contained the hubs.
But identifying the hubs in a social network is much more difficult than
detecting them in other types of systems. Nevertheless, Reuven Cohen and
Shlomo Havlin of Bar-Han University in Israel, together with Daniel ben-
Avraham of Clarkson University, have proposed a clever solution: i..................[:=> Show Contents <=:]



Impact of Node Mobility on Routing Protocols for Wireless Sensor Networks


Posted by: Computer Science Clay
Created at: Saturday 13th of June 2009 02:19:10 PM
Last Edited Or Replied at :Thursday 04th of March 2010 12:45:28 PM
protocols and architectures for wireless sensor networks ebook , wireless sensor networks energy, wireless sensor networks environmental monitoring , wireless sensor networks ebook, wireless sensor networks event detection , coverage problems in wireless sensor networks designs and analysis, protocols and architectures for wireless sensor networks download , wireless sensor networks diagram, wireless sensor networks design , wireless sensor networks doc, wireless sensor networks definition , wireless sensor netw, impact of mobility on routing energy consumption in mobile sensor networks , powered by mybb military ranks protocol, routing protocols wireless sensor networks projects , definition for mobility of nodes in wireless sensor networks, mobility of nodes in wireless sensor network , node mobility wsn, node mobility wsn means , mobility node wsn, first review ppt and doc on wsn using geographical routing , impact of node mobility ppt, mobility of nodes wireless sensor networks , how wsn will mobility of nodes, matlab code to find dropping in wsn , expected routing overhead for location service in manets under flat geographic routing, mobile node vs sensor node ns2 ,
cted to have high spatial
dependence and high temporal dependence. It too imposes
geographic restrictions on node mobility. However, it differs
from the Freeway model in giving a node some freedom to
change its direction.
The general metric that differentiate one mobility model
from one another are
1. Velocity of specified node at a particular instant of time t.
2. Speed of specified node at a particular time t.
3. Angle made by Velocity vector at time t with the X-axis.
4. Acceleration vector of node at time t.
5. X, Y, Z co-ordinate of node at time t.
6. Distance between nodes tw..................[:=> Show Contents <=:]



image compression


Posted by: Computer Science Clay
Created at: Saturday 06th of June 2009 02:50:26 PM
Last Edited Or Replied at :Thursday 16th of February 2012 12:53:40 AM
image compression digital camera , image compression data, image compression by using neural algorithms , image compression benchmark, image compression by matlab , image compression by dct, image compression best , image compression btc, image compression by wavelets , image compression dwt, image compression download , image compression definition, image compression dct , image compression books, image compression block diagram , image compression batch, image compression basics , image compression, compression , image, fast image compression , compression of an image by various methods, matlab code for compression and decompression techniques ppt , image compression using dct alogrithm using matlab, image compression in digital camera seminar topics , seminar topics related to image compression, image compression , seminar topics on image compression techniques,
quality of compression lies only in the selection of wavelet filter and the decomposition level. This technique comprises of both the quantization and encoding. As both the processes are carried out in short time the reliability in compressing an image will be high by Fast Image Compression Technique. Since the truncation of the redundant data there is no any notable difference between the original image and synthesized image. This algorithm is not much complex and the memory required to implement the algorithm is not very high. With a strong mathematical background and quantitative analysis, ..................[:=> Show Contents <=:]



An Efficient Algorithm for iris pattern Recognition using 2D Gabor Wavelet Trans


Posted by: computer science crazy
Created at: Sunday 21st of September 2008 01:06:40 AM
Last Edited Or Replied at :Saturday 09th of March 2013 05:46:32 AM
Trans , Wavelet, Gabor , using, Recognition , pattern, iris , Algorithm, Efficient , 2d gabor wavelet transform, seminar report on gabor wavelets , matlab code for iris recognition using wavelets, abstract for an efficient algorithm for iris pattern recognition using 2d gabor wavelet transformation in matlab , gabor wavelet seminar, face recognition using gabor wavelet transform matlab code , iris recognition ppt by using 2d wavelet, an efficient algorithm for iris pattern recognition using matlab , iris recognition algorithms matlab, iris pattern recognition algorithms , algorithm for iris, ppt for iris pattern recognition using 2d gabor wavelet transformation , ppt for iris recognition patterns using 2d gabor wavelets transformation,
e mechanism of optics govern the image formation resulting in continuos range, multi-tone images.

A digital image can be defined to be a numerical representation of an object or more strictly to be sampled, quantized function of two dimensions which has been generated by optical means, sampled in an equally spaced rectangular grid pattern, and quantized in equal intervals of graylevel.

The word is crying out for the simpler access controls to personal authentication systems and it looks like biometrics may be the answer. Instead of carrying bunch of keys, all those access cards or passwo..................[:=> Show Contents <=:]



A microprocessor-based generator of synchronizing signal and test signal for colour T


Posted by: Electrical Fan
Created at: Sunday 04th of October 2009 04:44:14 AM
Last Edited Or Replied at :Wednesday 07th of November 2012 12:08:19 PM
A microprocessor based generator of synchronizing signal and test signal for colour TV, colour , signal, test , signal, synchronizing , generator, microprocessor based , images of microprocessor controlled generator synchronization, microprocessor based generator , importance of test signal in microprocessor, a microprocessor based generator of synchronizing signal and test signal for colour tv matlab code , a microprocessor based generator of synchronizing signal and test signal for colour t, abstract for colour project in microprocessor , generator synchronizing signals,
roprocessor programming, combining with the technique of microprocessor, digital circuits and analogue devices, we use software as far as possible to generate signals directly or to simplify the controlling circuits. Those signals, such as composite sync signal, blanking signal and a series of test signals are originally realized by a number of sequential circuits and logical gates. Now, this test signal generator has smaller size, higher stability and lower cost compared with former ones which consist of more hardware. All of the programs are stored in EPROM. We can change the test patterns a..................[:=> Show Contents <=:]



Cloud Plugin by Remshad Medappil