An Undergraduate Fixed Point Dsp Course
نویسنده
چکیده
A course is proposed to cover fixed point, quantization and overflow issues in DSP programming for undergraduates. The course covers the material using a simulation approach in a case study of a SSB communication system. The course is needed in the curriculum because most new graduates in DSP jobs need these skills immediately to be productive on the more common fixed point processors.
منابع مشابه
"Digital signal processing with applications: " a new and successful approach to undergraduate DSP education
The new approach to undergraduate DSP education at Purdue is based on a simple idea: emphasize applications. Students are assumed to have a significant exposure to sampling and discrete-time signals, systems, and transforms at the junior level. In the senior course, the traditional DSP topics of digital filter design, the DFT, radix-2 FFT’s, and quantization are covered in the first five weeks ...
متن کاملAc 2007-1924: Fixed-point Dsp Implementation: Advanced Signal Processing Topics and Conceptual Learning
In this paper a description of a unique fixed point systems course, including a list of topics, a description of labs, and a discussion of the focus on a course project. The course has run four times using simulation environments to promote analysis and visualization. The content of the course has made it apparent that there are numerous linkages to advanced signal processing topics, and these ...
متن کاملDesign and Implementation of Numerical Linear Algebra Algorithms on Fixed Point DSPs
Numerical linear algebra algorithms use the inherent elegance of matrix formulations and are usually implemented using C/C++ floating point representation. The system implementation is faced with practical constraints because these algorithms usually need to run in real time on fixed point digital signal processors (DSPs) to reduce total hardware costs. Converting the simulation model to fixed ...
متن کاملImplementation of Deep Convolutional Neural Net on a Digital Signal Processor
In this paper I will discuss the feasibility of an implementation of an algorithm containing a Deep Convolutional Neural Network for feature extraction, and softmax regression for feature classification, for the purpose of real-time lane detection on an embedded platform containing a multi-core Digital Signal Processor (DSP). I will explore the merits of using fixed point and floating point ari...
متن کاملA Simulation Tool for Introducing Algebraic Celp (acelp) Coding Concepts in a Dsp Course
This paper presents an educational tool for introducing Code Excited Linear Prediction (CELP) coding concepts in senior undergraduate and graduate DSP-related courses. The tool consists of a user-friendly graphical interface along with a complete MATLAB realization of all aspects of the Algebraic CELP G.729 algorithm [2]. This simulation software is accompanied by a series of computer experimen...
متن کامل