Processors

Algorithms are the essence of digital signal processing; they are the mathematical "recipes" that transform signals in useful ways. Companies developing new algorithms, or considering purchasing or licensing algorithms, often need to assess whether an algorithm will fit within their
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"If it has speech recognition, why do we have to use our fingers?" According to Bernie Brafman, Vice President of Business Development at Sensory, that simple question has been at the forefront of many of the company's customers' minds throughout Sensory's 19-year existence.
In a recent interview in EE Times , BDTI co-founder and president Jeff Bier commented: Multi-core CPUs are very powerful and programmable, but not very energy-efficient.  So if you have a battery-powered device that is going to be doing a lot of vision processing, you may be motivated
Back in September 2011 , an InsideDSP article described a just-published analysis conducted by BDTI and sponsored by Altera, evaluating the viability of implementing complex hardware-accelerated single-precision floating-point functions on FPGA fabric. As I wrote then: To date, FPGAs have
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The article, " QDSP6 V4: Qualcomm Gives Customers and Developers Programming Access to its DSP Core ," which appeared in the June 2012 edition of InsideDSP , showcased Qualcomm’s decision to open up access to its DSP core via a software development kit. This decision corresponded
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Touch-free gesture interfaces are increasingly entering the public consciousness, spurred on by trendsetting popular implementations such as Microsoft's Kinect. And, as Tom Cruise's portrayal of Chief John Anderton in the future-forecasting film Minority Report suggests, they're
The October issue of IEEE Spectrum Magazine includes an interesting article titled " Could Supercomputing Turn to Signal Processors (Again)? " which discusses the viability of developing supercomputers using digital signal processors. It covers, among other things, a recent analysis
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In last month's edition of InsideDSP , Jeff Bier's editorial discussed the advantages of (and potential issues with) designing an embedded system around an application processor originally developed for smartphones, tablets, and other high volume devices. To wit, at the beginning of his
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In reading the InsideDSP newsletter every month, one observation that I hope you've made is that a diversity of processing options exist for implementing digital signal processing algorithms. The alternatives include GPUs, FPGAs, conventional CPUs, and standalone DSPs, along with DSP cores
The prodigious transistor budgets delivered by modern semiconductor processes enable designers to create powerful processor cores and chips. However, this silicon potential will be for naught if it can't easily be harnessed by algorithm developers. Consider the non-trivial die area and