This audio spectrum analyzer utilizes an ARM7 LPC2138 microcontroller to create an FFT algorithm while performing digital signal processing without the use of special DSP processor. This audio ...
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).
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 ...
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 ...
The objective of this paper is to provide a high-level process of designing and implementing an Audio Algorithm, specifically written for Soc’s multi-core, low-power audio processing DSP processors.
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.
CATALOG DESCRIPTION: Recursive and nonrecursive digital filters, decimation and interpolation, A/D and D/A conversion as digital filtering problems. Implementation of nonrecursive filters via FFT, ...
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 ...
Technology is continuously advancing and exponentially increasing the amount of data produced. Data comes from a multitude of sources and formats, requiring systems to process different algorithms.
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