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Digital signal processing and MATLAB implementatio
no vote
Application background This book is suitable for communication engineering, electronic information engineering, electronic information science and technology, automation, electrical engineering, computer technology and application. Key Technology This book describes the basic theory and algorithm of digital signal processing, analysis methods and design methods, combined with the MATLAB software to give the book focus on the simulation example, the TI TMS320C54x company DSP as an example, discusses the design of digital signal processing system, and gives out the experimental content can be used for practical teaching. The book consists of eight chapters, the former four chapters to discuss the basic theory and algorithm of discrete time signal and system; fifth, six chapters discuss the design method of digital filter; Chapter 7 about finite word length effects; Chapter 8 discussed TMS320C54x series DSP (digital signal processor) with the experi
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Mathematical modeling algorithm (30 algorithm Matl
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Application background The mathematical modeling algorithm (combined with MATLAB instance) of a total of 799 pages, read the differential equation, time series, intelligent algorithm related to several chapters, feeling very much, thank the author. Pdf is very clear, the code can be copied directly, I hope you learn to improve. Key Technology The main contents are as follows:Linear programmingInteger programmingNonlinear programmingDynamic programmingGraph and networkQueuing theoryGame theoryAnalytic hierarchy processInterpolation and fittingStatistical description and analysis of dataVariance analysisRegression analysisDifferential equation modelingSteady state modelOrdinary differential equation methodDifference equation modelMarkov chain modelVariational method modelNeural network modelNumerical solution of differential equationGoal programmingFuzzy mathematics modelModern optimization algorithmTime series modelStorage theoryOptimization probl
rural1104423195 23 0
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MATLAB solution to the problem of higher applied m
no vote
Application background It can be used as a textbook for general readers to learn and master MATLAB language. It can be used as a reference for scientific and technical workers, teachers to learn and use MATLAB language to solve practical problems. Key Technology This paper introduces the basic contents of MATLAB programming, and introduces the problem solving, such as the problem of MATLAB based calculus, linear algebra, the computer solution of linear algebra, integral transformation and complex variable function, nonlinear equation and differential equation, differential equation, numerical solution, probability theory and mathematical statistics, and other fields of fuzzy logic, neural network, genetic algorithm, wavelet analysis, rough set and fractional calculus.
rural1104423195 5 0
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Colorbar MATLAB uniform coloring of different sub
no vote
Application background In doing data analysis, three-dimensional or two-dimensional contour mapping is often used. Attribute data in the same if you want to do a few images are compared, but different in each picture numerical range, then were drawing will be found that the color is saturated, for example, are from red to blue, intermediate gradient, which is not conducive to a few pictures put together to make a comparison, we hope all graphs indicating a legend, then you can use the function. Key Technology MATLAB to do three-dimensional pictures, usually we through the colorbar command, add a legend. But if we have two graphs, attributes, different ranges of data, selection of tones of the same, then each figure are from red to blue, in the middle of the gradient, is not conducive to the contrast, the function can solve the problem that different figure, to include all the minimum range as the standard, to color contrast.
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Chen Yanguang based on Matlab's geographic data an
no vote
Application background "Data analysis and simulation series: Based on the analysis of geographic data of Matlab", based on the Matlab software, the application of a large number of mathematical methods is described. It involves regression analysis, principal component analysis, factor analysis, cluster analysis, discriminant analysis, (empty) sequence analysis, Markov chain, R / S analysis, linear programming, analytic hierarchy process and artificial neural network modeling method. By imitating the data analysis and Simulation of series: Matlab based geographic data analysis, calculation process of teaching, readers can deepen the understanding of mathematical methods, and master the skills in the application of a lot of MATLAB. The data analysis and simulation series: Matlab based geographic data analysis, initially in the Beijing University undergraduate quantitative geography teaching aids form appears, but is actually the matlab function on the further applicat
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Calman filtering principle and application: MATLAB
4.0
Application background Calman (Kalman) filtering algorithm in digital signal processing and its application in related fields. The application background includes linear Calman filtering, extended Calman filter, target tracking guidance, UKF filtering, interactive filtering, simulation, etc.. Key Technology The book has 7 chapters. The first chapter is the introduction. The second chapter introduces the programming of MATLAB algorithm simulation. The third chapter introduces the linear Kalman filter. The fourth chapter discusses the extended Kalman filtering, and introduces its application in the field of target tracking and guidance. In the fifth chapter, the UKF filtering algorithm is introduced, and the simulation examples are given. In the sixth chapter, the interactive multi model Kalman filtering algorithm is introduced. In the seventh chapter, the paper introduces how to construct the Kalman filter with the module library and the S functio
rural1104423195 1 0
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MATLAB basic training word+m
no vote
Application background This major is the hydrology, always take it as my tool, when I use to go back frequently, time for a long time, filled with notes, more treasure.Not only apply to a fixed professional, whenever involved in scientific computing problems can refer to this book, rich in content and detailed case. 276 examples of. Key Technology This book contains a rich level of MATLAB use and mathematical knowledge. This book has four main objectives: (1) help beginners successfully entered the gate of MATLAB; (2 comprehensive, multi-level, detailed and in-depth description of the MATLAB numeric, string, cellular, framework, logic and function handle six important data type in the application of the rules and mutually matched and programming standard; (3) from the shallow to the deep describes matlab three modeling, analysis, simulation environment, numerical calculation, the characteristics of symbolic computation and Simulink environment an
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Matlab programming style
no vote
Application background This paper introduces the basic knowledge of programming of MATLAB, from variable naming to programming, is helpful to develop good programming habits.. Key Technology Case rich, explain interesting. Matlab programming language to help beginners quickly grasp the features, even for a certain basis for the MATLAB enthusiasts, but also some inspiration. This book is a primer, can also be used as a training, style remodeling process.
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Theory and case Kalman matlab GUI
no vote
Kalman filter MATLAB code, including a PPT (state space model and KalmanFilter), introduces a principle of Kalman Web links, there are cases and data, after testing, the program can run, but my major is limited, not understanding, hope more exchanges, communication and better understanding better the.
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