DSP is one of those engineering concepts that is used every day by the entire globe - way beyond the modern digital channels that took to main stream. Radio airwaves, or analogue signals were the first to have DSP applied. DSP has the ability to take a signal, like a radio channel and digitise it.
The algorithms used are sophisticated and based on mathematics. By taking a samples of a signal and applying quantisation techniques, a digitalised signal can be produced. Most commonly used in digital audio components like mp3, medical imaging or mobile phones.
As the world of IoT begins to shape, the need for quicker, smaller and less power process intensive methods that are cheap to produce are required. The Cadence IoT IP subsystem includes a Tensilica DSP along with analogue and digital sensor interfaces for TSMC's 55 nm ultra-low power (ULP) process.
ASIC design process that enables smaller devices to be made is now becoming even simpler through sophisticated software design processes. Though, just like microprocessors, the more powerful a DSP processor is the more efficient the output is created and the more sophisticated DSP methods can be used, for example, DSP is applied to analogue data using fixed-point arithmetic, though more powerful versions are now using floating points to make the calculations.
As the requirements for SMART devices increase so will the security of DSP chips, as manipulation of raw data would have strong consequences. Some FPGAs that interact with DSP components do so only once the DSP component has gone through a secure-boot process - which can use the public key method to ensure a level security. With more and more SMART devices provding interfaces that are to use DSP techniques, the implementation of DSP is a progressive and an exciting place for innovation.
The algorithms used are sophisticated and based on mathematics. By taking a samples of a signal and applying quantisation techniques, a digitalised signal can be produced. Most commonly used in digital audio components like mp3, medical imaging or mobile phones.
As the world of IoT begins to shape, the need for quicker, smaller and less power process intensive methods that are cheap to produce are required. The Cadence IoT IP subsystem includes a Tensilica DSP along with analogue and digital sensor interfaces for TSMC's 55 nm ultra-low power (ULP) process.
ASIC design process that enables smaller devices to be made is now becoming even simpler through sophisticated software design processes. Though, just like microprocessors, the more powerful a DSP processor is the more efficient the output is created and the more sophisticated DSP methods can be used, for example, DSP is applied to analogue data using fixed-point arithmetic, though more powerful versions are now using floating points to make the calculations.
As the requirements for SMART devices increase so will the security of DSP chips, as manipulation of raw data would have strong consequences. Some FPGAs that interact with DSP components do so only once the DSP component has gone through a secure-boot process - which can use the public key method to ensure a level security. With more and more SMART devices provding interfaces that are to use DSP techniques, the implementation of DSP is a progressive and an exciting place for innovation.