Acheter 10 livres pour 10 € ici !
Bookbot

Khalid Sayood

    Signals and Systems
    Introduction to Data Compression
    Learning Programming Using MATLAB
    • Learning Programming Using MATLAB

      • 88pages
      • 4 heures de lecture
      5,0(1)Évaluer

      This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr® constructs in the process. MATLABr® is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a "mental block" about computers. Although MATLABr® is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help users become comfortable with the language.

      Learning Programming Using MATLAB
    • Introduction to Data Compression

      • 790pages
      • 28 heures de lecture

      The fifth edition offers an in-depth exploration of data compression, covering both lossless and lossy techniques, including Huffman coding, arithmetic coding, and quantization methods. Khalid Sayood presents the theoretical foundations alongside practical applications, enriched with examples that clarify complex concepts. This updated version reflects the latest advancements in the field, making it an essential resource for anyone looking to gain a thorough understanding of data compression and develop effective compression solutions.

      Introduction to Data Compression
    • Signals and Systems

      A One Semester Modular Course

      • 412pages
      • 15 heures de lecture

      Focusing on the foundational concepts of abstraction, this textbook offers a comprehensive introduction to Signals and Systems, suitable for both classroom use and self-study. It covers essential functions for signal analysis and delves into linear time-invariant systems, supported by Fourier series and transforms. Practical applications like sampling and modulation are explored, alongside advanced tools such as the Laplace and Z transforms for system analysis. Key topics include system stability and feedback, providing a thorough understanding of these critical concepts.

      Signals and Systems