To implement algorithms, digital-signal-processing (DSP) developers have had to rely upon design flows that use manual approaches. Aside from being time consuming, the manual process can invite ...

Our collaboration only focused on the development of a DSP system for supporting the speech restoration functions. More precisely the main goal of our work, here described, was to verify the ...

An intensive course which begins by providing attendees with a solid and intuitive understanding of the essential dsp tools, such as digital filters, FFTs, correlators, adaptive systems and multirate ...

DSP PAW hardware and software provide a complete learning environment for any computer where DSP algorithms can be entered as C++ code through an Arduino-like IDE.

Xilinx Inc has announced 11 pre-engineered DSP algorithms, which the company plans to license as Logicore products; DSP tools; and several embedded-DSP features for its next generation Virtex-II ...

Synplify DSP optimizes Simulink-based DSP designs at the system level before RTL generation, using algorithms such as system-level retiming. It also inserts pipelining where appropriate.

Conventional DSP hardware design flows Figure 2 shows a general form of a typical DSP hardware design flow. DSP design has traditionally been divided into two types of activities – systems/algorithm ...

Crafting DSP algorithms for optimum performance in hardware often requires sophisticated design techniques, such as pipelining and overclocked control logic. Such is the case for implementations using ...

Let’s take a closer look at each: Versatility Algorithms and data types largely depend on the application. Therefore, a DSP architecture has to support a rich instruction set for the efficient ...

DSP PAW hardware and software provide a complete learning environment for any computer where DSP algorithms can be entered as C++ code through an Arduino-like IDE.