Operational amplifiers are important building blocks for analog circuit design. Unfortunately, their limited performance such as bandwidth, slew-rate etc. leads the analog designer to search other possibilites and other building blocks. As a result, new current-mode active building blocks such as operational transconductance amplifiers (OTA), second generation current conveyors (CCII), current-...

This paper describes the experience in teaching integrated circuit design using an educational tool called Microwind through a Project-Based Learning approach. The evolution of the tool in the context of technology scale down is described, with focus on nanoscale technologies. An evaluation of the courses taught in two institutions (INSA France, and UniSA Australia) shows high levels of student...

This paper presents CMOS circuits for integrated analog filters at very high frequencies, based on transconductance-C integrators. First a differential transconductance element based on CMOS inverters is described. With this circuit a linear, tunable integrator for very-high-frequency integrated filters can be made. This integrator has good linearity properties (1% relative gm error for 2-V,, i...

Spintronic oscillators are nanodevices that are serious candidates for CMOS integration due to their compactness and easy frequency tunability. For a crystal oscillator to work, there must exist a feedback path with properly What practical circuits do is design such that we have a phase-shift of 180. A double balanced down conversion oscillator mixer using 90 nm CMOS technology is proposed in a...

Traditionally, multiple IC chips are needed to build transmitters (Tx) used in wireless communications. The difficulty with a full Tx integration is that each Tx building block uses different technology. A power-detection circuit will exploit the Schottky diode, while the modulator IC is integrated with BiCMOS or SiGe. Likewise, the digital control loop is implemented in CMOS. Now that directco...

This paper presents a new general purpose neuro-fuzzy controller to realize adaptive-network-based fuzzy inference system (ANFIS) architecture. ANFIS which tunes the fuzzy inference system with a back propagation algorithm based on collection of input-output data makes fuzzy system to learn. To implementing this idea we propose several improved CMOS analog circuits, including Gaussian-like memb...

This work presents a Neuro-Fuzzy network implemented in 0.8μm CMOS analog technology. The architecture and the circuit configurations adopted are discussed. The circuit has been designed taking into account mismatch effects and Spectre simulations have been reported. An integrated circuit has been realized and is now under test. Key-Words: Neuro-Fuzzy, Analog, Mixed Signal, VLSI, Embedded Appli...