scholarly journals Teaching Digital Signal Processing Course with a Real-Time Digital Crossover System for Electrical and Computer Engineering Technology Students

2020 ◽  
Author(s):  
Jean Jiang
1987 ◽  
Vol 24 (1) ◽  
pp. 65-72
Author(s):  
C. Ward

An accelerator consisting of a fast digital multiplier and A/D and D/A converters is designed for the BBC microcomputer. The circuit enables ‘hands-on’ experience of digital signal processing to be provided at minimal cost. Examples of implementations of FIR filters and an autocorrelation algorithm are provided.


2009 ◽  
Vol 17 (18) ◽  
pp. 15641 ◽  
Author(s):  
Kiyotaka Sasagawa ◽  
Atsushi Kanno ◽  
Masahiro Tsuchiya

Author(s):  
Kevin J. Gorman ◽  
Kourosh J. Rahnamai

Abstract The rapid prototyping of fuzzy logic controllers is accomplished by using the tools Matlab, Simulink, Fuzzy Logic Toolkit, and Real-Time Workshop. Device drivers were developed for Simulink for interfacing with DT2801 and DT2821 data acquisition boards. The fuzzy logic inference engine for the Fuzzy Logic Toolkit was modified to allow the systems to work as independent programs and to be downloadable to DSP (Digital Signal Processing) boards. Simulink is used to graphically implement fuzzy logic controllers. The Real-Time Workshop is used to compile blocks from Simulink into C code, then into an independent executable program, both on the PC and a dSpace DSP (Digital Signal Processing) board. Graphical interfaces are created and debugged by using dSPACE’s tools, Cockpit and Trace. By combining these tools, real-time fuzzy logic controllers are developed in laboratory environments.


Author(s):  
Sattar B. Sadkhan Al Maliky ◽  
Nidaa A. Abbas

To reach the high depths of knowledge and expertise that are required nowadays, scientists focus their attention on minute areas of study. However, the most complex problems faced by scientists still need the application of different disciplines to tackle them, which creates a necessity for multi-disciplinary collaboration. Cryptology is naturally a multidisciplinary field, drawing techniques from a wide range of disciplines and connections to many different subject areas. In recent years, the connection between algebra and cryptography has tightened, and established computational problems and techniques have been supplemented by interesting new approaches and ideas. Cryptographic engineering is a complicated, multidisciplinary field. It encompasses mathematics (algebra, finite groups, rings, and fields), probability and statistics, computer engineering (hardware design, ASIC, embedded systems, FPGAs), and computer science (algorithms, complexity theory, software design), control engineering, digital signal processing, physics, chemistry, and others. This chapter provides an introduction to the disciplinary, multidisciplinary, and their general structure (interdisciplinary, trans-disciplinary, and cross-disciplinary). And it also gives an introduction to the applications of the multidisciplinary approaches to some of the cryptology fields. In addition, the chapter provides some facts about the importance of the suitability and of the multidisciplinary approaches in different scientific, academic, and technical applications.


2010 ◽  
Vol 31 (12) ◽  
pp. 124014
Author(s):  
Zhubin Shi ◽  
Linjun Wang ◽  
Kaifeng Qin ◽  
Jiahua Min ◽  
Jijun Zhang ◽  
...  

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