Digital Signal Processing (DSP) performs a very important role in various engineering
applications, eg communications, control, imaging, audio, and radar. In many situations it is
necessary to perform DSP with high accuracy using the least amount of hardware resources
on fixed-point processors. This work looks into an approach to calculate the two-dimensional
Discrete Hirschman Transform (DHT) and the inverse DHT using fixed-point processing
hardware. The complex coefficients required for the transform are pre-calculated and stored …

Abstract Digital Signal Processing (DSP) performs a very important role in various
applications of electrical engineering like communications and signal enhancement. In
many situations one finds that the DSP hardware available are fixed point processors. In
these situations, it is necessary to perform DSP with high accuracy using the least amount of
hardware resources. This thesis looks into an approach to calculate the two dimensional
Discrete Hirschman Transform (DHT), the inverse DHT, the Hirschman Cosine Transform …