Classical signal processing techniques are based primarily on the analog nature of all signals‎.‎ However‎,‎ the continuously improving performance of digital circuitry and processors has prompted a switch to digital signal processing techniques rather than the traditional analog ones‎.‎ Applied Signal Processing recognizes the linkage between the two paradigms and presents a unified treatment of both subjects ‎(‎analog and digital signal processing‎)‎ in one authoritative volume‎.‎ It introduces underlying principles‎,‎ basic concepts‎,‎ and definitions as well as classic and contemporary designs of signal processing systems‎.‎ The author includes a detailed description of data converters‎,‎ an interface between the real world of analog signals and the artificial world of digital signals‎.‎ He provides a concise presentation of topics by limiting the number of complex equations and using lucid language‎.‎ Numerous real‎-world application examples are featured within each chapter including architectures from Texas Instruments‎,‎ Motorola‎,‎ and Analog Devices‎.‎ With its compounded coverage of both analog and digital signal processing techniques‎,‎ this book provides engineers with the knowledge they need to understand the analog basis of modern digital signal processing techniques and construct architectures for modern systems‎.‎