Numerical and theoretical analysis on voltage and time domain dynamic range of scaled CMOS circuits
It is believed that the time-domain resolution of a digital signal edge transition is superior to the voltage resolution of an analog signal in advanced CMOS processes[1], [2]. The reasoning behind this is that operating voltage has been reducing, making the signal more vulnerable to noise power due to scaling. On the other hand, in time domain, scaling has resulted to increase in frequency and therefore design of faster circuits, while also contributing to reduction of jitter. However, this is a concept that has not yet been quantitatively examined. This paper aims at verifying the effectiveness of the time-domain circuits over voltage-domain circuits in terms of their dynamic range performances by simulations as well as by theoretical analysis, especially in the scaled nano-meter processes. It has been shown that for a given technology the time domain dynamic range is superior to the voltage domain dynamic range by a factor of (ωT /B)2 where ωT is the unity gain frequency and B is the bandwidth.
Predicting noise and jitter in CMOS inverters
Jitter in CMOS technologies depend on several physical and design parameters, which are expected to change with scaling. Also, some parameters will have to change (by the introduction of enhancement techniques) in order to meet the desired performance goals for each new generation. The impact of each one of these parameters is here evaluated in order to give some insight on the jitter generation, amplification and coupling phenomena in actual and future designs. The work is based on AMS (0.8 um and 0.35 um) and UMC (180 nm and 130 nm) models for high performance, minimum sized transistors. Also, data from ITRS has been used to predict jitter dependency on the various parameters in deep-submicron CMOS generations.
Prediction of Muscular Endurance (Work Performance) From Individual Differences in Initial and Post Training Increments in Static Strength
Forty college men were given tests for static strength and strength endurance prior to an isotonic strength training program. Experimental results indicate that individual differences in static strength are a poor criterion in the prediction of muscular endurance. Following an increase in static strength resulting from isotonic strength training pre-training static strength and post-training strength increments are not indicative of an individual's performance in a hand grip endurance activity.