Analysis Of Electrical Circuits And Networks

This book has been written with the intention to make electrical circuit easy to understand for the students. Electrical circuit is one of the most important part of electrical engineering, and thus a clear and thorough knowledge is required in this field. This book explains all the chapters in simple and easy language and more emphasis has been given to solved problems. In this book each and every topic has been explained with sufficient amount of solved examples, so that the students can easily understand the topics.
While preparing this book more stress has been given in worked out examples. Each chapter contains sufficient number of solved examples for the students to understand the subject thoroughly. This book contains more than 400 solved problems for the students. I hope this book will be more helpful to the students in understanding the concept of circuit and network analysis. The book can be of great help for the preparation of UPSE and other Competitive Examinations.
Table Of Contents :
Chapter 1   Basic of Electrical Engineering
Chapter 2   Circuit Transformation
Chapter 3   Mesh and Loop Analysis
Chapter 4   Network Theorems (D.C. Circuits)
Chapter 5   Network Theorems (A.C. Circuits)
Chapter 6   Coupled Circuits
Chapter 7   Resonance
Chapter 8   Laplace Transforms
Chapter 9   Transient Analysis (with Laplace Transformations)
Chapter 10 Fourier Analysis
Chapter 11 Two Port Network
About Author :
Jaydeep Chakravorty obtained his B.E. (Electrical & Electronics Engineering) from Sikkim Manipal Institute of Technology, Majitar, Sikkim, a constituent college of Sikkim Manipal University of Health, Medical and Technological Sciences.
He has done his M.E. (Software Engineering) from Birla Institute of Technology, Meshra, Ranchi.
He is currently attached with Sikkim Manipal Institute of Technology, Majitar, Sikkim, as a Reader in Electrical & Electronics Engineering Department. His areas of interest are Electrical Circuits and Networks, Power System, Fuzzy Logic, Neural Networks, Genetic Algorithms, Soft Computing Techniques, etc.UAE9390