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"With wider deployments of smart metering, smart grids and distributed generation, power quality monitoring has become of great importance. Harmonic analysis of current and voltage signals allows several key power quality indicators. For example, an energy meter with harmonic analysis functions can characterize the state of the load or supply, enabling predictive maintenance or system optimization.
The presence of harmonics is an ever increasing concern for providers and consumers of energy alike. Excessive harmonic currents can lead to overheating of power transformers and reactive power compensators and neutral conductors. False tripping of protective relays can also be caused by harmonic currents.
Harmonic voltage and currents can also interfere with sensitive equipment operating in proximity to large harmonic generators. Traditionally, developers would use a digital signal processor to implement some version of the Fourier algorithm or bandpass filtering to perform harmonic analysis.
This article presents a new approach, titled Adaptive Real Time Monitoring (ARTM), and compares it against other possible methods: FFT algorithms and bandpass filtering. ARTM will be featured in the next generation Analog Devices (ADI) products for energy applications. "
Goertzel algorithm - Wikipedia link
"Many biometric characteristics are used to verify identity, including hand and face geometry, retinal scans, voice recognition, and fingerprint analysis. Because no two fingerprints have ever been proved identical, fingerprint matching is among the most popular and accurate biometric techniques used for identification purposes.
A popular and reliable way to compare fingerprints is to analyze the minutiae of the fingerprint. To do so, a system must first capture the image of a fingerprint and process the image to make it easy for image analysis. After the analysis, the minutiae will be extracted and saved in a template format. The system must then store the data of the minutiae to be used for future comparison."
"The Zoom FFT is interesting because it blends complex down conversion, lowpass filtering, and sample rate change through decimation in a spectrum analysis application. The Zoom FFT method of spectrum analysis is used when fine spectral resolution is needed within a small portion of a signal's overall frequency range. This technique is more efficient than the traditional FFT in such a situation. "