DSP-algoritmutveckling för energilagringsindustrin

Many electronics and digital products use digital signal processing (DSP)algorithms in them. Before any algorithm gets into theproduct, an optimization process is appliedto it. The optimizationprocess ensures that …

Why are DSP algorithms important?

Thus, the optimization and efficient implementation of the DSP algorithms and architectures are more and more important. We can say that they represent an essential part of the research in many modern applications, e.g., multimedia, big data, IoT, etc.

Why is DSP optimization important?

As a result, the amount of available digital data becomes higher and higher, while the requirements for efficient implementations are more and more challenging, especially for real-time applications. Thus, the optimization and efficient implementation of the DSP algorithms and architectures are more and more important.

How to reduce signal distortion in DSP?

The first one is to reduce the computational complexity (number of arithmetic operations per time unit) of the DSP algorithms. The second way is to use low-precision computations and hardware, which however also means more signal distortion.

Can VLSI chips be used in DSP applications?

Short Presentation of the Papers In , Chiper and Cotorobai try to resolve one challenging problem in designing VLSI chips for embedded designs used in DSP applications, namely, an efficient incorporation of the security techniques, while maintaining the high performances of these chips.

Why are DSP architectures important?

We can say that they represent an essential part of the research in many modern applications, e.g., multimedia, big data, IoT, etc. For the real-time implementations of modern DSP applications, the efficient optimization of such architectures or software implementations is sometimes a critical and challenging issue.