estimated from the received signals‚ with the prior knowledge of only the signature waveform of the desired user (or the signature waveforms of some but not all users). The performance of a number of such estimated linear detectors‚ including the direct-matrix-inversion (DMI) blind linear minimum mean square error (MMSE) detector‚ the subspace blind linear MMSE detector‚ and the form-I and form-II group-blind linear hybrid detectors‚ are analyzed. Asymptotic limit theorems for each of the estimates of these
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Boston consulting group (Boston Matrix) Company’s name: ChopChop (international chocolate producing company) Industry name : Confectionary ( Chocolate products ) Headquarters: Russia. ( Moscow ) Company introduction: Our company was established for more than 8 years since 2006‚ and it has recently developed to be one of the strongest international enterprise of chocolate industry of the world. We are the chocolate producing company‚ producing many varieties of chocolate. However‚ we has considered
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10PGDM040 Rajesh Rai 10PGDM041 Raman Chaudhary 10PGDM042 Lalit Malik 10PGDM024 Shubham Agrawal 10PGDM050 Table of Contents Executive Summary: 3 Understanding Brand 4 Key brand elements 4 Criteria for choosing brand elements 5 Brand positioning 5 Methodology of data collection: 6 Analysis of Data: 7 Brand Repositioning Pros and Cons: 8 Challenges in the path of brand Repositioning: 10 Survey conducted to judge the perception of customer due to brand Repositioning 14 Conclusions
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BA 555 Practical Business Analysis Group Project 2: Business Simulation **** Due: November 12‚ 2014 **** NAME Tailong Wu (Section 001) NAME Ling Yang (Section 002) NAME Daijie Qi (Section 002) 1. The file Group Project 2 Model.xlsx contains 50 monthly returns of the SCHO and SPY EFT funds from September 2010 to October 2014. Suppose that in each of the next 72 months (six years)‚ it is equally likely that any of the historical returns will occur. Develop a spreadsheet model to simulate the
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presented by the movie “The Matrix”. Almost the whole of the human population is living in a complete delusion of their surroundings‚ thinking that they are actually living normal lives‚ when in actuality they are energy sources for giant machines. There is are select few that live outside the “matrix” and are mounting a resistance against the machines‚ but‚ like previously mentioned‚ what is the morally correct thing for the “resistance” to do. Leave the people in the matrix‚ or allow them to fight
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Name: Date: Graded Assignment Unit Test‚ Part 2: Vectors and Matrices Answer the questions below. When you are finished‚ submit this assignment to your teacher by the due date for full credit. (a) A = A = Hence this is the matrix A. (b) a12 indicating 26 which is 2nd column element of 1st row. It represents the total medium size button sweaters available in the store. (c) Elements in the second row are 64‚ 17 and 35. Add them we will get 64+17+35 = 116. This number represents the total
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CASES FOR ANALYSIS ~ AQUARIUS ADVERTISING AGENCY 1. Analyze Aquarius with respect to the five contextual variables. How would you describe the environment‚ goals‚ culture‚ size‚ and technology for Aquarius? ANSWER: Aquarius is a middle-sized firm operating in a relatively unstable environment‚ particularly because in the industry it was common to lose or gain clients quickly because of consumer behavior changes or product innovation‚ sometimes with no advance warning. The technology is predominantly
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August 2007 shows how Woolworths uses the marketing concept of positioning in its sales efforts. Woolworths recognise their Home brand as a successful position for a product. Its Home brand is seen as a cheaper alternative with reasonable quality compared to the retail branded products. Woolworths has decided that there is a position in the market between retail branded and Home brand products that has not been utilised. Positioning is defined as “the act of designing the company’s offering and
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matrices have some very interesting properties. One of these is the ability to concatenate many mathematical operations into one single matrix. This means that with just one matrix it is possible to perform the task of literally hundreds of operations within that one single matrix. Another reason that matrices are used is because they are very easy to use and a matrix multiply routine is really all you need to get all the desired results. The algebra involved is also fairly well hidden from the programmer
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the dimension of V‚ T cannot have more than n eigenvalues counted with multiplicities. If A ∈ K n×n ‚ then A can be regarded as a linear mapping from K n to itself‚ and so the polynomial cA (x) = det(xIn − A) is the characteristic polynomial of the matrix A‚ and its roots in K are the eigenvalues of A. A subspace W of V is T -invariant if T (W ) ⊆ W. The zero subspace and the full space are trivial examples of T -invariant subspaces. For an eigenvalue λ of T the subspace E(λ) = ker(T − λI) is T -invariant
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