Easily implemented in MATLAB by first-year students, these challenges include structured programming, graphing, file manipulation, and simple analysis of sound waves. Project challenges involving the creation and analysis of sound were developed to illustrate engineering and programming concepts in an introductory Engineering Computer Tools Course. This approach requires little or no equipment to implement. MATLAB's ability to output a time series to the sound card of a PC provides an opportunity for problems that create sounds and music instead of numbers. To help motivate students there are many examples of courses using robotics or graphics to provide a more concrete result for programming exercises. Students often find introductory programming a difficult new world. The main advantage of the filter design software package described in this paper is that it makes uses of one of the MATLAB toolboxes, the signals toolbox (which is used for analog and digital filter design), but used with an interface that makes it possible even to the novice user to readily design filters, either analog or digital, without any previous knowledge of MATLAB or the signals toolbox The feature of this package is that it uses MATLAB for the numerical computations. This paper describes a software package whose purpose is to provide a tool to be used as a teaching aid in analog and digital filter design courses. Unfortunately, filter design is an intensive computational task requiring a significant amount of numerical calculations to obtain either the parameters of a filter transfer function or the element values for a filter circuit realization. For example, communication systems, as many other electric systems, make intensive use of filtering to separate unwanted noise from the desired signal. Students can use these notebooks to automate symbolic filter analysis and design in software, to derive closed-form expressions, and to gain insight into the relevant filter design parameters and coefficients.Electric filters have a relevant importance in electronic systems because they are present in almost any electronic system. A notable feature of the book is a detailed step-by-step exposure to the filter analysis by transform method, exemplified by self-contained Mathematica notebooks. Mathematica and optimization routines are used to produce a new method of filter design, including ready-to-use filter design algorithms and implementations of the algorithms in Mathematica. Students using this book are assumed to have a basic background in calculus, complex numbers, and differential equations. The emphasis is given to automating filter design in software, not to studying general filter theory. This book bridges the gap between filter theory and practice, presenting newly developed algorithms and designs. Signals | Systems | Transforms | Classic Analog Filter Design | Advanced Analog Filter Design Case Studies | Advanced Analog Filter Design Algorithms | Multicriteria Optimization of Analog Filter Designs | Classic Digital Filter Design | Advanced Digital Filter Design Case Studies | Advanced Digital Filter Design Algorithms | Multicriteria Optimization of Digital Filter Designs | Elliptic Functions | Elliptic Rational Function | Appendix A: Example Mathematica Notebooks ![]() Finance, Statistics & Business Analysisįor the newest resources, visit Wolfram Repositories and Archives »įilter Design for Signal Processing Using MATLAB and Mathematicaĭepartment of Electrical and Computer Engineering.Wolfram Knowledgebase Curated computable knowledge powering Wolfram|Alpha. Wolfram Universal Deployment System Instant deployment across cloud, desktop, mobile, and more. ![]() Wolfram Data Framework Semantic framework for real-world data.
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