PN SEQUENCE GENERATOR
USING MAT LAB
Presented BY
D.SAI KRISHNA



WHAT IS PN SEQUENCE GENERATOR
Pseudo random Noise sequence generator is a circuit which generates pseudo random noise sequences.
A pseudo- noise sequence is a binary sequence with a noise like wave form that usually generated by means of a Linear feedback shift registers.


Block Diagram Of Linear Feedback Shift Register
WHAT IS LINEAR FEEDBACK SHIFT
REGISTER
A Fee ....etc

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Seminar Report On ASSOCIATION MINING
Submitted by: BENCY CLEETUS
DEPARTMENT OF COMPUTER SCIENCE
COCHIN UNIVERSITY OF SCIENCE AND TECHNOLOGY
KOCHI-682022
ABSTRACT
Association rules are one of the most researched areas of data mining and have recently received much attention from the database community. They have proven to be quite useful in the marketing and retail communities as well as other more diverse fields. Association mining ta ....etc

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INTRODUCTION
One is emerging from perhaps the most deliberate and least colourful engineering fields of all: gas turbine engineering. Gas turbines are internal combustion engines, like the ones that drive cars, except that they use a rotating shaft or rotor instead of pistons reciprocating in cylinders. This makes their operation smooth and steady, which lowers maintenance costs and increases reliability. Though they became practical only sixty years ago, today gas turbines are one of ....etc

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hi i am nandhini,i am doindg my project in evaluation of routing performance in manet using domination set ,plz i need a code for this project,its very urgent.
thanks in advance. ....etc

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presented by:
Chedy Ra¨ıssi,Pascal Poncelet,Maguelonne Teisseire

ABSTRACT
Many recent real-world applications, such as network traf-_c monitoring, intrusion detection systems, sensor networkdata analysis, click stream mining and dynamic tracing of_nancial transactions, call for studying a new kind of data.Called stream data, this model is, in fact, a continuous, potentiallyin_nite ow of information as opposed to _nite,statically stored data sets extensively studied by researchersof the data mining community. An important appl ....etc

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ABSTRACT
The worldâ„¢s most advanced super computer doesnâ„¢t require a single semiconductor chip.
The human brain consists of organic molecules that combines to form a highly sophisticated network able to calculate, perceive, manipulate, self-repair, think and feel. Digital computers can certainly perform calculations much faster and more precisely than humans, but even simple organisms are superior to computers in the other five domains. Computer designers may never be able to make machines having all the faciliti ....etc

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Delay Analysis for Maximal Scheduling With Flow Control in Wireless Networks With Bursty Traffic



We consider the delay properties of one-hop networks with general interference constraints and multiple traffic streams with time-correlated arrivals. We first treat the case when arrivals are modulated by independent finite state Markov chains. We show that the well known maximal scheduling algorithm achieves average delay that grows at most logarithmically in the largest number of inte ....etc

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hi
i need a coding for evaluation of routing performance in manet using domination set(adjacency matrix approach).

thank u ....etc

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A Paper presentation on
REAL TIME IMAGE PROCESSING APPLIED TO TRAFFIC QUEUE DETECTION ALGORITHM
ABSTRACT_____________________
This paper primarily aims at the new technique of video image processing used to solve problems associated with the real-time road traffic control systems. There is a growing demand for road traffic data of all kinds. Increasing congestion problems and problems associated with existing detectors spawned an interest in such new vehicle detection technologies. But the systems have difficulties with ....etc

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Maximal Subspace Co regulated Gene Clustering - IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, VOL. 20, NO. 1, – java
Abstract—
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregulated gene clusters, which include both positive and negative regulated gene clusters. The existing pattern-based and tendency-based clustering approaches cannot directly be applied to find such
coregulated gene clusters, ....etc

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DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
The proposed algorithm DSM-MFI ....etc

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Abstract
RAKE receiver is used in CDMA-based
(Code Division Multiple Access) systems and can combine Multipath components, which are time-delayed versions of the original signal transmission. Combining is done in order to improve the signal to noise ration at the receiver. RAKE receiver attempts to collect the time-shifted versions of the original signal by providing a separate correlation receiver for each of the multipath signals. This can be done due to multipath components are practically uncorrelated from another ....etc

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FIREWALL
MINI PROJECT REPORT- 2006
by: Submitted by:
ijesh.P.S
AMRITA SHANKAR ANJU P ALIAS SATHU G RAJAN VIDYA RADHAKRISHNAN
Synopsis
We presented the design and implementation of the FIREWALL that features high scalability, a variety of scanning methods, easy deployment and extension, distribution of intelligence and compatibility with existing network management systems. It implements a distributed architecture that consists of various-level entities, such as sensors, collectors and analyzers. Collectors gather t ....etc

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Abstract
XMAX is a novel test data compression architecture capable of achieving almost exponential reduction in scan test data volume and test time while allowing use of commercial automatic test pattern generation (ATPG) tools. XMAX tolerates presence of sources of unknown logic values (also referred to as X's) without compromising test quality and diagnosis capability for most practical purposes. The XMAX architecture has been implemented in several industrial designs. ....etc

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DESCRIPTION:
A data stream is a massive, open-ended sequence of data elements continuously generated at a rapid rate. Mining data streams is more difficult than mining static databases because the huge, high-speed and continuous characteristics of streaming data. In this paper, we propose a new one-pass algorithm called DSM-MFI (stands for Data Stream Mining for Maximal Frequent Itemsets), which mines the set of all maximal frequent itemsets in landmark windows over data streams.
The proposed algorithm DSM-MFI ....etc

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