The book "Nonparametric evaluation of signals" by authors Alexander Viktorovich Dobrovidov and Gennady Mikhailovich Koshkin is a deep and fascinating study in the field of signal processing , which will be of interest to professionals, as well as students, trying to understand the complex aspects of this science. The publication is an extensive work in which the authors share their knowledge and experience, bringing to the text both theoretical foundations and practical examples. In today's world, where information is transmitted in the form of signals, the ability to correctly evaluate them is becoming increasingly important. Nonparametric signal estimation is a method that does not require prior data distribution assumptions. This makes it particularly valuable in the face of the uncertainty and variability we face in real life. The book covers a wide range of topics, including signal processing algorithms, statistical methods, and their applications in various fields such as communications, medicine, and ecology. The authors, Dobrovidov and Koshkin, are recognized experts in their field, and their style of presentation is clear and accessible. They use many examples and illustrations to make complex concepts more understandable. This allows readers not only to assimilate information, but also to apply it in practice. The book will be useful to both students of technical specialties and practitioners working in the field of data processing and signals . The topics raised in the book cover not only technical aspects, but also philosophical issues related to information processing. The authors examine how non-parametric methods can help solve real-world problems, such as analyzing medical data or processing signals in communication systems. This makes the book relevant and interesting for a wide range of readers, including researchers, engineers and students. The style of the authors is distinguished by scientific rigor, but they do not forget that information should be available. Their approach to the presentation of the material allows readers to easily follow the course of thought without losing interest in the topic. This makes the book not only a tutorial, but also a fascinating read for those who are interested in modern methods of data analysis. In addition, "Non-parametric signal estimation" may be of interest to those who are looking for new approaches to information processing. With the constant growth in the volume of data and the complexity of signals, the ability to apply non-parametric methods becomes an important competitive advantage. The book offers readers the opportunity to expand their knowledge and skills, which is especially relevant for professionals working in rapidly changing fields. If you are looking for literature that combines theory and practice, and also offers a fresh perspective on signal processing, then "Non-parametric signal estimation" will be an excellent choice. This is not just a book, but a whole world of knowledge that will open before you. It will become a reliable assistant in your professional activities and help you understand complex issues related to signal processing. Thus, this edition is not just a textbook, but a real find for everyone who seeks a deep understanding of non-parametric methods for evaluating signals. Do not miss the opportunity to get acquainted with the work of Dobrovidov and Koshkin, which can change your idea of the world of signals and data