Note: High precision measurements using high frequency gigahertz signals.

Generalized lock-in amplifiers use digital cavities with Q-factors as high as 5 × 10(8) to measure signals with very high precision. In this Note, we show that generalized lock-in amplifiers can be used to analyze microwave (giga-hertz) signals with a precision of few tens of hertz. We propose that the physical changes in the medium of propagation can be measured precisely by the ultra-high precision measurement of the signal. We provide evidence to our proposition by verifying the Newton's law of cooling by measuring the effect of change in temperature on the phase and amplitude of the signals propagating through two calibrated cables. The technique could be used to precisely measure different physical properties of the propagation medium, for example, the change in length, resistance, etc. Real time implementation of the technique can open up new methodologies of in situ virtual metrology in material design.

Generalized lock-in amplifier for precision measurement of high frequency signals.

We herein formulate the concept of a generalized lock-in amplifier for the precision measurement of high frequency signals based on digital cavities. Accurate measurement of signals higher than 200 MHz using the generalized lock-in is demonstrated. The technique is compared with a traditional lock-in and its advantages and limitations are discussed. We also briefly point out how the generalized lock-in can be used for precision measurement of giga-hertz signals by using parallel processing of the digitized signals.

High-level energy estimation in the sub-VT domain: simulation and measurement of a cardiac event detector.

This paper presents a flow that is suitable to estimate energy dissipation of digital standard-cell based designs which are determined to operate in the subthreshold regime. The flow is applicable on gate-level netlists, where back-annotated toggle information is used to find the minimum energy operation point, corresponding maximum clock frequency, as well as the dissipated energy per clock cycle. The application of the model is demonstrated by exploring the energy efficiency of pipelining, retiming, and register balancing. Simulation results, which are obtained during a fraction of SPICE simulation time, are validated by measurements on a wavelet-based cardiac event detector that was fabricated in 65-nm low-leakage high-threshold technology. The mean of the absolute modeling error is calculated as 5.2%, with a standard deviation of 6.6% over the measurement points. The cardiac event detector dissipates 0.88 pJ/sample at a supply voltage of 320 mV.

Binary morphology with spatially variant structuring elements: algorithm and architecture.

Mathematical morphology with spatially variant structuring elements outperforms translation-invariant structuring elements in various applications and has been studied in the literature over the years. However, supporting a variable structuring element shape imposes an overwhelming computational complexity, dramatically increasing with the size of the structuring element. Limiting the supported class of structuring elements to rectangles has allowed for a fast algorithm to be developed, which is efficient in terms of number of operations per pixel, has a low memory requirement, and a low latency. These properties make this algorithm useful in both software and hardware implementations, not only for spatially variant, but also translation-invariant morphology. This paper also presents a dedicated hardware architecture intended to be used as an accelerator in embedded system applications, with corresponding implementation results when targeted for both field programmable gate arrays and application specific integrated circuits.