Moreover, using appropriate discrete and extended transformations, a novel digital signal processor (DSP) method is also presented for physically realizing the above hyperchaotic 2-, 3-, 4-scroll attractors.
We would like to stress the application of digital signal processing (DSP) method in determining the femoral stem primary stability with high pattern recognition accuracy in biomechanical testing.
There are only few approaches existing in the literature exploiting gradient-based motion estimation methods in DSP platforms as the one proposed by Shirai et al. [16] in early 1990s, implementing the classical method of Horn-Schunck algorithm [17] using many boards with a TMS320C40 DSP each.
Unfortunately, conventional scheduling methods used on DSP multiprocessors allocate only one operation to each DSP every time unit, even if the DSP includes several function units that can operate in parallel.
Experimental results on a TI VLIW DSP show that our method reduces the number of clock cycles by an average of 51%% (2 times acceleration) when compared to the most assembly-optimized and vendor-tuned FFT libraries.
Implementing FFT and inverse fast Fourier transform (IFFT) blocks using digital signal processors (DSPs) is the method used in the initial years and it is followed even now, as reconfiguring the requirements can be done easily through software.
The design of SIHT uses one fixed point DSP (TMS320C54x), three floating DSPs (TMS320C31), and a single-chip microcontroller based on an embedding system method.
Often called "DSPs" due to the function they perform, they are designed to perform DSP functions in an efficient method, using conventional software programming design and verification techniques discussed in the chapter.
TSM contains two approaches, which integrates unimodular transformations, loop tiling technique, and conventional methods used on single DSP.
Digit-serial DSP architectures have been effective implementation method for FPGAs.
