Across a range of applications, the two most common functions implemented in FPGA-based high-performance signal processing are finite impulse response (FIR) filters and fast Fourier transforms (FFTs).
Variable fractional delay (VFD) filter design has become increasingly significant in digital signal processing, offering the flexibility to delay signals by non-integer amounts. This technology is ...
Why use FIR filters, anyway? With the availability of easy-to-use IIR filters in Cypress Semiconductor’s PSoC Creator’s Filter tool, I’ve spent a lot of time over the years telling people the ways in ...
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Master signal processing with Python tools
Signal processing in Python is more approachable than ever with libraries like NumPy and SciPy. These tools make it easy to filter noise, analyze frequencies, and transform raw signals into meaningful ...
Filter bank design forms a cornerstone of modern digital signal processing, enabling the decomposition of signals into multiple frequency subbands for both analysis and synthesis. Recent advancements ...
Georgia Tech has developed a general-purpose MMIC (monolithic microwave IC) for the direct filtering and processing of microwave and millimeter-wave signals. The aim is to reduce radio power ...
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