A Digital Signal Processing Teaching Methodology Using Concept-Mapping Techniques

Concept in Digital Signal Processing

In our work we have developed a new methodology for the design of nonlinear dynamical systems and signal processing algorithms In this paper, we discuss the basic concept of this approach, as well as some variations of the applied modeL We show the results of application of this approach in Signal estimation. We also compare the obtained results with that of Kalman filtering. The results indica...

Design methodology for digital signal processing

Improvements in semiconductor integration density and the resulting problem of having to manage designs of increasing complexity is an old one, but still current. The new challenge lies in a new level of architecture heterogeneity, e.g. mixing hard-wired digital circuits with software programmed signal processors on one die. Hence, we are moving by one level of abstraction from semi-custom stan...

Adaptive Digital Signal Processing JAVA Teaching Tool

This publication presents a JAVA program for teaching the rudiments of adaptive digital signal processing (DSP) algorithms and techniques. Adaptive DSP is on of the most important areas of signal processsing, and provides the core algorithmic means to implement applications ranging from mobile telephone speech coding, to noise cancellation, to communication channel equalization. Over the last 3...

A SystemC-Based Design Methodology for Digital Signal Processing Systems

Digital signal processing algorithms are of big importance in many embedded systems. Due to complexity reasons and due to the restrictions imposed on the implementations, new design methodologies are needed. In this paper, we present a SystemC-based solution supporting automatic design space exploration, automatic performance evaluation, as well as automatic system generation for mixed hardware...

Structural subband decomposition: a new concept in digital signal processing