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).
The Fast Fourier Transform (FFT) is a widely used algorithm that computes the Discrete Fourier Transform (DFT) using much fewer operations than a direct implementation of the DFT. FFTs are of great ...
The Fast Fourier Transform (FFT) remains a cornerstone of digital signal processing, underpinning applications from telecommunications to medical imaging. Modern FFT processors and architectures have ...
You probably have at least a nodding familiarity with the Fourier transform, a mathematical process for transforming a time-domain signal into a frequency domain signal. In particular, for computers, ...
Sparse Fourier Transform (SFT) algorithms constitute a transformative approach to spectral analysis by leveraging the inherent sparsity of signals in the frequency domain. In contrast to the ...
Many electronics and digital products use digital signal processing (DSP)algorithms in them. Before any algorithm gets into theproduct, an optimization process is appliedto it. The optimizationprocess ...
In the early 2000s, digital signal processors (DSP) were simple in architecture and limited in performance, but complex in programming. However, they evolved to meet of the increased performance ...
SANTA CLARA, Calif. - February 8, 2010 - Tensilica, Inc. today introduced ConnX BBE16, its second generation baseband engine for LTE (long-term evolution) and 4G baseband SOC (system-on-chip) designs.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results