Taking a practical approach to the subject, Advanced Engineering Mathematics with MATLAB®, Fourth Edition, continues to integrate technology into the conventional topics of engineering mathematics. Th
This book presents computer programming as a key method for solving mathematical problems. There are two versions of the book, one for MATLAB and one for Python. The book was inspired by the Springer
This supplemental text allows instructors and students to add a MatLab content to a complex variables course. This book seeks to create a bridge between functions of a complex variable and MATLAB. Eve
Help your students focus on the development, implementation, and application of modern DSP techniques with DIGITAL SIGNAL PROCESSING USING MATLAB, 3E. Written using an engaging, informal style, this b
MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series.
This book analyzes applications of MATLAB in roughly every division of science. This book covers applications based on the engineering of MATLAB as a tool for computing. The book has several chapters
This primer illustrates the use of MATLABR for statistical data analysis and research. It describes functions for statistics in the main MATLAB software package, the Statistics Toolbox, and the studen
MATLAB: An Introduction with Applications 5th Edition walks readers through the ins and outs of this powerful software for technical computing. The text describes basic features of the program and sho
Digital Speech Processing Using Matlab deals with digital speech pattern recognition, speech production model, speech feature extraction, and speech compression. The book is written in a manner that i
MATLAB PROGRAMMING WITH APPLICATIONS FOR ENGINEERS seeks to simultaneously teach MATLAB as a technical programming language while introducing the student to many of the practical functions that make s
In the last decade MATLAB has been presented to students as the first computer program they learn. Consequently, many non-programmer students, engineers and scientists have come to regard it as use
In this supplementary text, MATLAB? is used as a computing tool to explore traditional DSP topics and solve problems to gain insight. This greatly expands the range and complexity of problems that st
Taking a practical approach to the subject, Advanced Engineering Mathematics with MATLAB®, Third Edition continues to integrate technology into the conventional topics of engineering mathematics.
Presents an introduction to MATLAB and its applications in engineering problem solving. This book covers the classical methods of electrical circuits,control systems, numerical methods, optimization,
Mathematical Summary for Digital Signal Processing Applications with Matlab consists, of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs w
Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuz
Numerical and Analytical Methods with MATLABR presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve sy
The fully comprehensive text covers most of the theoretical foundations and mathematical derivations that will be used in higher-level related subjects such as signal processing, communication, and co
This textbook covers the basics of the MATLAB software for engineers by first explaining the fundamentals of computing, programming languages and the algorithms used for problem-solving. Kalechman (el
This book uses MATLAB as a computing tool to explore traditional DSP topics and solve problems. This greatly expands the range and complexity of problems that students can effectively study in signal
As with the bestselling first edition, Computational Statistics Handbook with MATLAB®, Second Edition covers some of the most commonly used contemporary techniques in computational statistics. Wit
