The design of Finite Impulse Response (FIR) filters has evolved into a sophisticated discipline that balances signal-processing performance with hardware efficiency. Innovations in FIR filter design ...

The design of finite impulse response (FIR) filters remains a cornerstone of digital signal processing, with ongoing efforts to refine both the algorithmic and hardware aspects of their implementation ...

Interpolation and Decimation Options Enable Better Performance and Lower-Power Filters to be Implemented in Altera PLDs Delivers Significant Performance and Cost Benefits over DSP Processors and ...

Previous columns have described how analog and switched-capacitors filters work and provided a real example of each. Now on to digital filters that process discrete-time digital values, rather than ...

Bit Layer Multiplier Accumulator (BLMAC) is an efficient method to perform dot products without multiplications that exploits the bit level sparsity of the weights. A total of 1,980,000 low, high, ...

The first part of this series described how data flows through processing steps that create a moving average of stock prices over 65 days. Finite-impulse-response (FIR) filters use the same data-flow ...

The QF1D512 SavFIRe configurable finite impulse response (FIR) filter chip can follow any analog-to-digital converter (ADC) in industrial monitoring applications like vibration sensing, flow ...

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).

Part 2 shows how to optimize filter banks using high-level synthesis tools, and reviews the results of each optimization. Filter banks are part of a group of signal processing techniques that ...

Digital signal processors (DSPs) continue to receive a great deal of attention in new product design. For example, digital filter design reflects the importance of understanding and using this ...