Analog-digital ASIC design: technology trends, integration requirements, design skills and methodologies; Characteristics of modern IC technologies; Layout and Matching; Noise in electronic circuits; Coupling and isolation; Synthesis of basic cells: operational transconductance amplifiers, comparators, voltage and current references; Design of analog-digital integrated circuits at the building block and system level: continuous-time and sampled-data filters, Nyquist-rate A/D and D/A converters, oversampled A/D converters. (For ELEG major and minor undergraduate and ELEG RPg and TPg students as elective course; Not for students who have taken ELEG5201.)

Review on physiological measurements and medical devices; electrodes and transducers for biomedical measurements; physiological monitoring and therapeutic devices; drug delivery systems; body sensor networks (BSN) and body area networks (BAN); wearable sensors and systems; e-textile devices. Medical imaging modalities: MRI, CT, PET, SPECT, ultrasound, etc.; bio-imaging: molecular imaging, cell imaging, etc. Selected topics of current interests in biomedical sensors. (For ELEG RPG students, ELEG and BMEG undergraduate major and minor students as elective course; Not for students who have taken ELEG5110.)

Review MOS device properties and electrical models. Basic analog circuit building blocks including simple and cascode current sources, active loads, common source and common drain amplifiers, DC biasing networks, and differential amplifiers. Review MOS device properties and electrical models. Basic analog circuit building blocks including simple and cascode current sources, active loads, common source and common drain amplifiers, DC biasing networks, and differential amplifiers. Analog sub-systems building blocks including CMOS OTA, OCA, comparators. Selected topics in CMOS RF circuits. (For ELEG RPG & TPG students, ELEG undergraduate major and minor students as elective course; Prerequisite: ELEG3210; Not for students who have taken ELEG5723.)

This course starts by reviewing basic knowledge of discrete-time signals and sampling. Based on the principles of Discrete Fourier transform (DFT), short-time Fourier transform is introduced for timefrequency analysis. The effect of windowing and the concept of time-frequency resolution trade-off are explained. Analysis of discrete-time linear systems is discussed in detail, with emphasis on frequency response and linear phase properties. Design methods of different types of digital filters are taught and software tools for filter design are introduced. The second part of the course is focused on statistical signal processing and optimum filter design. Concepts and methods of spectral estimation are introduced. The course covers well-known applications of DSP in the areas of audio, speech and bio-signal processing. (Not for students who have taken ELEG4410 or ELEG4501 or ESTR4212 or ESTR4218. Prerequisite: ELEG3503 or consent of the instructor.)