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| | The Mathematics of Signal Processing (Cambridge Texts in Applied Mathematics)
Arising from courses taught by the authors, this largely self-contained treatment is ideal for mathematicians who are interested in applications or for students from applied fields who want to understand the mathematics behind their subject. Early chapters cover Fourier analysis, functional analysis, probability and linear algebra, all of... | | Engineering Statistics
Montgomery, Runger, and Hubele provide modern coverage of engineering statistics, focusing on how statistical tools are integrated into the engineering problem-solving process. All major aspects of engineering statistics are covered, including descriptive statistics, probability and probability distributions, statistical test and... |
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Introduction to Probability and Statistics
Every time you pick up a newspaper or a magazine, watch TV, or surf the Internet, you
encounter statistics. Every time you fill out a questionnaire, register at an online website,
or pass your grocery rewards card through an electronic scanner, your personal
information becomes part of a database containing your personal... | | Fuzzy Logic with Engineering Applications
Fuzzy logic is a simple phrase that actually refers to a large subject dealing with a set of methods to characterize and quantify uncertainty in engineering systems that arise from ambiguity, imprecision, fuzziness, and lack of knowledge.
This 15-chapter textbook remains the only major text that can be used for both undergraduate... | | Introduction to MATLAB with Numerical Preliminaries
MATLAB is an abbreviation for MATrix LABoratory and it is ideally suited for
computations involving matrices. Since all of the sciences routinely collect data in
the form of (spreadsheet) matrices, MATLAB turns out to be particularly suitable
for the analysis of mathematical problems in an assortment of fields. MATLAB is
very easy to... |
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