"Orthogonal Transforms for Digital Signal Processing" by Nasir Ahmed and Kamisetty Ramamohan Rao is a comprehensive textbook aimed at providing a working knowledge of orthogonal transforms in digital signal processing. The book is structured into ten chapters, with the first seven focusing on the background, motivation, and development of orthogonal transforms. These chapters require a basic understanding of Fourier series transforms and matrix algebra. The last three chapters are more specialized, focusing on specific applications of orthogonal transforms in digital signal processing, requiring additional knowledge of discrete probability theory and, optionally, communication theory. The content is based on graduate-level courses offered by the Departments of Electrical Engineering at Kansas State University and the University of Texas at Arlington over the past five years. The material is suitable for advanced graduate students, who can cover all chapters in one semester. For first-year graduate students, the first seven chapters are covered in one semester, followed by a project-oriented course focusing on specific applications using the last three chapters. The authors express gratitude to their graduate students, particularly Mr. T. Natarajan, and to the Departments of Electrical Engineering at Kansas State University and the University of Texas at Arlington for their support. They also thank various individuals for their assistance in the development of the book. Finally, the authors acknowledge the support of their wives, Esther and Karuna, without whose encouragement, patience, and understanding the book could not have been written."Orthogonal Transforms for Digital Signal Processing" by Nasir Ahmed and Kamisetty Ramamohan Rao is a comprehensive textbook aimed at providing a working knowledge of orthogonal transforms in digital signal processing. The book is structured into ten chapters, with the first seven focusing on the background, motivation, and development of orthogonal transforms. These chapters require a basic understanding of Fourier series transforms and matrix algebra. The last three chapters are more specialized, focusing on specific applications of orthogonal transforms in digital signal processing, requiring additional knowledge of discrete probability theory and, optionally, communication theory. The content is based on graduate-level courses offered by the Departments of Electrical Engineering at Kansas State University and the University of Texas at Arlington over the past five years. The material is suitable for advanced graduate students, who can cover all chapters in one semester. For first-year graduate students, the first seven chapters are covered in one semester, followed by a project-oriented course focusing on specific applications using the last three chapters. The authors express gratitude to their graduate students, particularly Mr. T. Natarajan, and to the Departments of Electrical Engineering at Kansas State University and the University of Texas at Arlington for their support. They also thank various individuals for their assistance in the development of the book. Finally, the authors acknowledge the support of their wives, Esther and Karuna, without whose encouragement, patience, and understanding the book could not have been written.