Signal Processing is such a ubiquitous subject that one wouldn't even realize one is using it daily.
One of the most important parts of or body is a Signal Processor , namely the brain , without it everything else would be meaningless.
Just like in Biological systems where we have different Inputs like the Eyes , the Ears , the Nose and all the Touch sensory inputs and a lot more , and all these signals need to be captured (sampled) and then processed for the insight that they provide. Similarly for Digital Signals coming from different places , we need to sample them and extract the underlying information in them.
That is the crux of DSP , and like the human brains specialised processing zones , DSP applications rely on specialised hardware of a DSP processor.
A DSP processor is a more parallelized form of a General Purpose Processor and can effectively execute DSP algorithms in Parallel and thus faster
In the DSP lab . we have worked on one such chip the TMS320F28335 . we have been able to effectively harness many of its hardware level features
Coding for DSP applications was done in C language in CCS studio.
We covered many of the fundamental aspects of signal processing ie
With all the above fundamental skills , almost any DSP application can be coded for and implemented in the real world , thus creating a stand alone system
One of the most important parts of or body is a Signal Processor , namely the brain , without it everything else would be meaningless.
Just like in Biological systems where we have different Inputs like the Eyes , the Ears , the Nose and all the Touch sensory inputs and a lot more , and all these signals need to be captured (sampled) and then processed for the insight that they provide. Similarly for Digital Signals coming from different places , we need to sample them and extract the underlying information in them.
That is the crux of DSP , and like the human brains specialised processing zones , DSP applications rely on specialised hardware of a DSP processor.
A DSP processor is a more parallelized form of a General Purpose Processor and can effectively execute DSP algorithms in Parallel and thus faster
In the DSP lab . we have worked on one such chip the TMS320F28335 . we have been able to effectively harness many of its hardware level features
Coding for DSP applications was done in C language in CCS studio.
We covered many of the fundamental aspects of signal processing ie
- Discrete Fourier Transforms
- Linear Filtering (Convolution)
- Correlating two signals and finding the Ratio of Correlation
- Harmonic Generation and Signal Generation
- Sensor Interfacing and Calibration
With all the above fundamental skills , almost any DSP application can be coded for and implemented in the real world , thus creating a stand alone system
And the integration of the various aspects to create stand alone system was one of the most important things one needs to learn.
In summary DSP is the child of various domains Micro-controllers , Embedded System Coding and Mathematics through Signal Processing.
And as a result DSP has applications in many domains from Digital Communication to Artificial Intelligence.
A very well written piece, insightful enough to get any budding engineer excited about this field and explore further.
ReplyDeleteWhat is the difference between a normal low power microprocessor and a DSP processor on the hardware level ?
ReplyDeleteI like the analogy between the Brain and DSP processing , to the same lines is there any advantages or applications of using DSP in AI workloads ?
ReplyDeleteWell crafted to suit the understanding of a person without the technical background.
ReplyDelete