Feldbauer‚ Franz Pernkopf‚ and Erhard Rank Signal Processing and Speech Communication Laboratory Inffeldgasse 16c Abstract This tutorial introduces the LMS (least mean squares) and the RLS (recursive least-squares) algorithm for the design of adaptive transversal filters. These algorithms are applied for identification of an unknown system. Usage To make full use of this tutorial you have to 1. Download the file AdaptiveFilter.zip which contains this tutorial and the accompanying Matlab program(s)
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Computer Engineering Mekelweg 4‚ 2628 CD Delft The Netherlands http://ce.et.tudelft.nl/ 2010 MSc THESIS Optimization of Texture Feature Extraction Algorithm Tuan Anh Pham Abstract Texture‚ the pattern of information or arrangement of the structure found in an image‚ is an important feature of many image types. In a general sense‚ texture refers to surface characteristics and appearance of an object given by the size‚ shape‚ density‚ arrangement‚ proportion of its elementary parts. Due to
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an encrypted message (ciphertetext) without knowing the algorithms and keys used in encryption. Crypto is a tool that can be used in both good and bad ways. Some of the good crypto uses are: • Protecting the location of our troops in war zone • Protecting the nuclear launch codes • Protecting national security information • Protecting research data • Protecting a new research idea 2. Cryptographic Algorithms Cryptographic Algorithms are the set of rules used to encipher and decipher messages
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present a high performance recovery algorithm for distributed systems in which checkpoints are taken asynchronously. It offers fast determination of the recent consistent global checkpoint (maximum consistent state) of a distributed system after the system recovers from a failure. The main feature of the proposed recovery algorithm is that it avoids to a good extent unnecessary comparisons of checkpoints while testing for their mutual consistency. The algorithm is executed simultaneously by all
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A Review of Frequent Itemsets over Data Stream based on Data Mining Techniques Fayyaz Ahmed‚ Irfan Khan Department of Computer Science Comsats Institute of Science & Technology ABSTRACT Data stream is a continuous‚ unbounded and high speed of data. Stream data arrives from different distributed areas. It is impossible to store all data in active storage. Now a day’s mining data stream is a challenging task for the purpose of KKD‚ fraud detection‚ trend learning‚ transaction prediction
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much quicker than any classical computer using the best currently known algorithms‚ like integer factorization using Shor’s algorithm or the simulation of quantum many-body systems. There exist quantum algorithms‚ such as Simon’s algorithm‚ which run faster than any possible probabilistic classical algorithm.[8] Given sufficient computational resources‚ however‚ a classical computer could be made to simulate any quantum algorithm; quantum computation does not violate the Church–Turing thesis.[9]A quantum
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fundamental differences between standard algorithms and the strategies that children construct to solve multidigit problems. Standard algorithms have evolved over centuries for efficient‚ accurate calculation. For the most part‚ these algorithms are quite far removed from their conceptual underpinnings. Invented strategies‚ on the other hand‚ generally are derived directly from the underlying multidigit concepts. For example‚ with standard addition and subtraction algorithms‚ numerals are aligned so that the
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of data. Data structure mainly specifies the structured organization of data‚ by providing accessing methods with correct degree of associativity. Data structure affects the design of both the structural and functional aspects of a program. Algorithm + Data Structure = Program Data structures are the building blocks of a program. The programmers have to strive hard to solve these problems. If the problem is analyzed and divided into sub problems‚ the task will be much easier i.e.‚ divide
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CSE115 Computing Concepts Monday‚ May 28‚ 2012 CSE115: Lecture 1 1 Chapter 1: Introduction Overview: Misconception about Computer Science what’s Computer Science algorithms the importance of algorithmic problem solving Pseudocode Monday‚ May 28‚ 2012 CSE115: Lecture 1 2 Misconception about Computer Science: What it is not There is a lot of misconception about this area of study Unlike physics‚ chemistry or biology‚ most of us do not have an intuitive feeling
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URBAN OPERATION RESEARCH 6.4 ROUTING PROBLEMS One of the most common problems in urban service systems is the design of routes for vehicles or people. In some instances‚ these routes must be designed so that they traverse in an exhaustive way the streets in a neighborhood or in a specific part of a city or‚ occasionally‚ in a whole city. Alternatively‚ the objective may be to visit a set of given geographical points in a city in order to provide some service there or to deliver or collect goods
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