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Quickfilter mentioned in March 2007 Sensors and Transducers magazine article
"Data Acquisition and Digital Filtering for Infrasonic Records on Active Volcanoes" by José Chilo and Thomas Lindblad presents the design of a digital data acquisition system for volcanic infrasound records. The system includes four electret condenser element microphones, a QF4A512 programmable signal converter from Quickfilter Technologies and a MSP430 microcontroller from Texas Instruments. The signal output of every microphone is converted to digital via a 16-bit Analog to Digital Converter (ADC). To prevent errors in the conversion process, Anti-Aliasing Filters are employed prior to the ADC. Digital filtering is performed after the ADC using a Digital Signal Processor, which is implemented on the QF4A512. The four digital signals are summed to get only one signal. Data storing and digital wireless data transmission will be described in a future paper. Copyright © 2007 IFSA
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Quickfilter presents a white paper on Digital Filtering Alternatives for Embedded Designs
Whether it’s filtering out 60 Hz noise sources or looking for a signature in a certain frequency band, signal processing and filtering applications are abundant and easier than ever to implement with the right tools. How does the embedded micro-controller designer decide the best path to take when tackling his filtering problem (with the least amount of pain)? This paper will provide the necessary guidance to select the best approach for a given application. Whether it’s using your current MCU, choosing to substitute/add a DSP or an FPGA, or selecting an ASSP solution, there are a number of decisions to be made. Time to implementation, performance, power, cost, and area utilization will be compared to provide a clear and efficient choice for your filtering application needs.
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Quickfilter publishes a white paper on Industrial Monitoring
"Intelligent Signal Processing at the Sensor Network Edge" describes trends currently under way in the industry to not only increase the level of networking between sensors, but also to move the signal processing close to the sensor itself. Facilitating these trends and helping our customers overcoming the technical challenges along the way is part of the Quickfilter philosophy.
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