Signal processing & audio processors

Digital Signal Processors for real-time audio processing

We analyze the requirements for digital signal processors used in audio applications. Methods for assessing the real computing power expected from them are presented. Proper requirements for a real-time development platform are also described. Code development tools are also included. Finally a review of common processors is done according to those criteria.

Audio Signal Processing

Python For Audio Signal Processing

This paper discusses the use of Python for developing audio signal processing applications. Overviews of Python language, NumPy, SciPy and Matplotlib are given, which together form a powerful platform for scientific computing. We then show how SciPy was used to create two audio programming libraries, and describe ways that Python can be integrated with the SndObj library and Pure Data, two exis...

Radar Signal Processing with Graphics Processors (GPUs)

Radar Signal Processing algorithms place strong real-time performance demands on computer architectures. These algorithms do however have an inherent data-parallelism that allows for great performance on massively parallel architectures, such as the Graphics Processing Unit (GPUs). Recently, using GPUs for other than graphics processing has become a possibility through the CUDA and OpenCL (Open...

Accelerating Signal Processing Algorithms Using Graphics Processors

There is increased interest in the use of graphics processing units (GPUs) for general purpose computation. This is because GPUs are almost two orders of magnitude faster in terms of floating point throughput compared to conventional CPUs. In this paper we investigate the use of graphics processing units for accelerating signal processing algorithms, specifically FIR filters and the FFT. We des...