Advances in radio frequency (RF) solid state transmitters and high performance embedded computing (HPEC) have afforded a new opportunity to “re-write” the textbooks on active sensing systems such as radar. Previously, radars were constrained to pre-determined set of transmit waveforms such as linear frequency modulation (LFM), and pseudo-random binary modulation with constant modulus. It is now possible to utilize advanced arbitrary waveform generators (AWGs) that are also adaptive.

In recent years, non-Hermitian degeneracies, also known as exceptional points (EPs), have emerged as a new paradigm for engineering the response of optical systems. At such points, an N-dimensional space can be represented by a single eigenvalue and a single eigenvector. As a result, these points are associated with abrupt phase transition in parameter space.

The history of autonomous aircraft systems over the past 70 years is traced leading up to the technology that formed the foundation of current operational aircraft. The resulting architectures that are currently employed are reviewed. Looking to the future, the development of autonomy for aircraft has taken on a new direction and will be influenced heavily by commercial sector developments.

The demand for bandwidth in cellphones is driving the industry toward complex RF front-ends that rely heavily on acoustic filters. The main purpose of this talk is to give an overview of filter technologies (SAW, BAW, temperature-compensated SAW), some basic acoustic design techniques (ladder filter, duplexers and multiplexers) and a sense of what to look for when working with filters. We will try to shed some light on the key specifications and trade-offs for RF filters and how they affect the RF front-end of a phone.

High Definition Mapping of road infrastructure is a key factor enabling technology for autonomous vehicles. In this talk, I will outline the basic principles of vision-based mapping and describe Qualcomm’s Drive Data Platform.

Bluetooth® Low Energy (BLE) and Medical Body Area Network (MBAN) technologies have become promising options for wireless medical applications. However, increased body loss at the ISM frequencies utilized in BLE communication systems and common interference sources, including Wi-Fi, IoT, wireless power charging, microwave-ovens, etc. present challenges for medical applications. MBAN frequencies are also quite close to the ISM frequency band. In this seminar, both BLE medical system & MBAN system analysis will be presented. System, interference and MRI safety testing will be discussed.

This talk will cover two seemingly disparate problems under the umbrella of an exact rank constraint: one in statistical and radar signal processing focusing on the estimation of structured covariance matrices and the other a key image processing/vision task called robust alignment of images. In the first part, we look at the regularized maximum likelihood (ML) estimation of structured covariance matrices (SCM) that arise in radar space time adaptive processing.

Metal oxide semiconductor device technology is to date widely accepted as a technology that enable the development of next generation device applications such as flexible, transparent and low cost electronic devices because of its superior material properties such as reasonably high electron mobility (>10cm2(Vs)-1) and wide compatibility of processing including solution process.