DSP Digital Signal Processing
These courses develop the student's fundamental understanding of DSP theory. The practical aspects of signal processing techniques are stressed allowing DSP professionals to make their processing algorithms more efficient.
This three-day course is the beginner's best opportunity to efficiently learn DSP. Intuitive, nonmathematical explanations and well-chosen examples develop the student's fundamental understanding of DSP theory. The practical aspects of signal processing techniques are stressed over discrete system theory. Participants will leave with a collection of tricks-of-the-trade used by DSP professionals to make their processing algorithms more efficient.
This three day course covers implementation techniques for building DSP circuits in field programmable gate arrays (FPGAs). As the conversion rates increase for both analog to digital converters (ADCs) and digital to analog converters (DACs) the point of digitization of the analog signal gets closer to the antenna. However the resultant high data rates are often too much for a typical DSP processor and so the DSP algorithms needed to process the high data rate must be built directly in hardware. FPGAs are a cost effective choice for this task. Where ever possible, pictures, diagrams, and videos are used to illustrate the operations of DSP algorithms such as the Discrete Fourier Transform, convolution, polyphase decomposition, etc., thus providing more deeper insight to those who learn best through pictures.
Based on the instructors new book, this updated course covers complete information on the role of vital signal processing algorithms within the context of wireless applications.
The goals of RF power amplifier design are high efficiency and linearity. With modern cellular communications modulation formats such as LTE and WCDMA these goals are difficult to achieve simultaneously with traditional RF PAs, and high-efficiency architectures such as Doherty, Envelope Tracking, and so forth are becoming more commonplace. These PAs require an additional linearization system to achieve the mandated linearity specifications. The emergence of high-speed digital signal processing techniques has enabled the linearization to be accomplished in the digital signal domain, and digital pre-distortion (DPD) is now the preferred linearization technique.
This five-day course is a complete course in basic automatic control theory and application, yet requires no prior control system design training. With this advanced knowledge the student will be equipped to address getting the highest performance out of a wide variety of automatic control systems - even systems that have such difficult nonlinearities as friction and backlash.
This course includes hands-on sessions with real hardware to demonstrate the practical application of the theory being taught, as it is taught.