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Digital Signal Processing A Computer Based Approach

The previous chapter introduced the concept of a random process and explored in depth the temporal (i.e., time-related) properties of such processes. Many of the specific random processes introduced in Chap. 7 are used in modern engineering to model noise or other unpredictable phenomena in signal communications. In this chapter, we investigate the frequency-related properties of random processes, with a particular emphasis on power and filtering.

Introduction to Signal Processing

This article discusses techniques for the cancellation of distortion (linearization) in power amplifiers. Different methods of linearization are introduced and compared. The linearization of solid-state power amplifiers (SSPAs), traveling-wave tube amplifiers (TWTAs) and klystron power amplifiers (KPAs) are considered. Although the focus of this article is on power amplifiers, many of the techniques are applicable to other components such as mixers, low-noise amplifiers, and even photonic components, such as lasers and optical modulators.

Linearization: reducing distortion in power amplifiers

A Master of Science thesis in Electrical Engineering by Moustafa Farag Abdelnaby entitled, “Behavioral Modeling of RF Power Amplifiers Using Reduced Sampling Rate”, submitted in November 2018. Thesis advisor is Dr. Oualid Hammi. Soft and hard copy available.

Moustafa Farag Abdelnaby

Papers

Behavioral Modeling of RF Power Amplifiers Using Reduced Sampling Rate