Master practicalDSP application design and implementation in hardware and software! Focusing on real-world design knowledge rarely taught in the classroom, Richard Newbold gives engineering students, entry level engineers, and experienced engineers the critical DSP design information they need to be productive. Clearly and concisely, he shortens DSP's steep learning curve, equipping engineers to produce system-level, hardware-level, and software-level designs without having to reinvent technical solutions already known to industry veterans. Practical Applications in Digital Signal Processingbegins by carefully introducing today's essential mathematical tools for DSP system design, including complex variables, Fourier transforms, and Z-transforms. Next, drawing on 30 years as a digital hardware design engineer, Newbold presents complete tutorials on designing and developing each of these applications: mixed-language C/C++ FORTRAN programming; FIR digital filtering; multirate FIR filter design; complex-to-real conversion; digital frequency synthesis; signal tuning; elastic store memory; Digital DLLs; channelized filter banks; and digital automatic gain control. Every application is illustrated with detailed diagrams and thoroughly annotated figures that give readers a complete visual realization of the subject matter.