Digital Signal Processing (DSP) is an engineering discipline that enjoys many applications, including medicine. Biological signals are data registers that convey information about a biological process in a given period of time (i.e. a heartbeat). The interpretation of these signals is of significant value for diagnosticians, clinicians and researchers. DSP has been the basis on which many artificial intelligence and health-oriented technologies have found a way to establish a leading role in biomedical engineering’s evolution. Continue reading “Digital Biomedical Signal Processing”
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DSP Software System Design
The development of DSP Software follows the regular cycle of any general purpose SW project: collecting application requirements, algorithm development, coding and testing. However, in DSP designs, certain specific tasks need to be added to complement the design. The reasons for the extra tasks come from the need to run DSP applications in real-time, with low cost and low power consumption, among other reasons. Continue reading “DSP Software System Design”
Programming Software for DSPs
Digital Signal Processors (DSPs) are CPUs that have been designed especially for the high computational requirements of digital signal processing applications. DSPs are commonly found on consumer electronics like cameras, printers, modems and phones. They are well suited for applications that involve processing images, video, audio signals, and in digital communications. They include a number of architectural features that, when fully exploited, make it possible to execute DSP applications several times faster than if they were running on general purpose processors. Continue reading “Programming Software for DSPs”
How to Select a DSP Processor
This article will be useful if you have already decided that you need a DSP processor to handle your computationally-intensive signal processing application in real-time, but need some help selecting a DSP processor. It will guide you through some of the characteristics of DSP processors that you can choose from to help you narrow-down the choice.
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10 Things You Can Do with DSP
Digital Signal Processing is used in a large variety of applications from consumer electronics to medical devices, automotive and military equipment. What all DSP applications have in common is that they operate on real-world “analog” signals that have been digitized into streams of numbers, then processed in their digital form by algorithms, and later possibly converted back into transformed analog signals.
This article lists some of the most popular applications of Digital Signal Processing.