Digital Signal Processing and Digital Signal Processors for Mobile Communications: Basic Concepts and Trends

Undergraduate Students ◽

Digital Signal ◽

Signal Processing Algorithms ◽

Processing Algorithms ◽

Introducing undergraduate students to the use of digital signal processors This article describes a procedure for teaching undergraduate students the implementation of digital signal processing algorithms (using the TMS320C25). Material used, description of the processor, examples and working assembly codes are presented.

2012 35th International Conference on Telecommunications and Signal Processing (TSP) ◽

Education in real-time digital signal processing using digital signal processors

10.1109/tsp.2012.6256372 ◽

2012 ◽

Cited By ~ 2

Author(s):

Pavel Zahradnik ◽

Boris Simak

Keyword(s):

Signal Processing ◽

Real Time ◽

Digital Signal ◽

Practical realizations of optimized adaptive digital signal processing solutions implemented in preset time count rate meters

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee0503559z ◽

2005 ◽

Vol 18 (3) ◽

pp. 559-570

Author(s):

Aleksandar Zigic ◽

Vojislav Arandjelovic ◽

Ðordje Saponjic ◽

Ivana Veselinovic

Keyword(s):

Signal Processing ◽

Count Rate ◽

Experimental Validation ◽

Digital Signal ◽

Experimental Results ◽

Theoretical Predictions ◽

Preset Time ◽

Two optimized adaptive digital signal processors were implemented to the preset time count rate meters. Three mean count rate meters, based on the developed adaptive digital signal processors, were realized and were used for experimental validation of proposed adaptive digital signal processors. The experimental results, conducted without and with radioisotope for the specified errors of 10% and 5%, showed to agree well with theoretical predictions.

Digital signal processing designing for FPGA architectures

Facta universitatis - series Electronics and Energetics ◽

10.2298/fuee0703437r ◽

2007 ◽

Vol 20 (3) ◽

pp. 437-459 ◽

Cited By ~ 1

Author(s):

Mariusz Rawski ◽

Bogdan Falkowski ◽

Tadeusz Łuba

Keyword(s):

Signal Processing ◽

Digital Signal ◽

Distributed Arithmetic ◽

Embedded Blocks ◽

Signal Processing Algorithms ◽

Signal Processors ◽

High Degree ◽

Very High

This paper presents the discussion on efficiency of different implementation methodologies of DSP algorithms targeted for modern FPGA architectures. Modern programmable structures are equipped with specialized DSP embedded blocks that allow implementing digital signal processing algorithms with use of the methodology known from digital signal processors. On the first place however, programmable architectures give the designer the possibility to increase efficiency of designed system by exploitation of parallelism of implemented algorithms. Moreover, it is possible to apply special techniques such as distributed arithmetic (DA) that will boost the performance of designed processing systems. Additionally, application of the functional decomposition based methods, known to be best suited for FPGA structures allows utilizing possibilities of programmable technology in very high degree. The paper presents results of comparison of different design approaches in this area.

Approximate Adder Implementation using Quantum- Dot Cellular Automata for Digital Signal Processing

International Journal of Engineering and Advanced Technology - Regular Issue ◽

10.35940/ijeat.b3298.129219 ◽

2019 ◽

Vol 9 (2) ◽

pp. 3743-3748

Keyword(s):

Signal Processing ◽

Cellular Automata ◽

Quantum Dot ◽

Digital Signal ◽

Error Resilience ◽

Approximate Computing ◽

Quantum Dot Cellular Automata ◽

Area Efficiency ◽

We explore quantum-dot cellular automata (QCA) design for approximate computing units in digital signal processors. For this cause, a common approach for design is introduced, and approximation-oriented mirror adders (AMA) are developed. In this work, we compromise power/area efficiency of circuit-level design with accuracy supervision. We compare Approximate Mirror Adder cells designed using conventional CMOS technique and using QCA. Our technique picks fairly accurate adder designs that minimalize the over-all area, hitherto maintaining the ultimate performance by studying their error resilience.

Digital signal processors for a signal processing laboratory

IEEE Transactions on Education ◽

10.1109/13.779898 ◽

1999 ◽

Vol 42 (3) ◽

pp. 192-199 ◽

Cited By ~ 5

Author(s):

L. Moreno ◽

J.F. Sigut ◽

J.J. Merino ◽

J.I. Estevez ◽

J.L. Sanchez ◽

...

Keyword(s):

Signal Processing ◽

Digital Signal ◽

Basic Concepts in Digital Signal Processing for Seismologists

10.1007/bfb0017794 ◽

1994 ◽

Keyword(s):

Signal Processing ◽

Digital Signal ◽

Basic Concepts

Residue Number Systems

10.34048/2017.1.f2 ◽

2017 ◽

Author(s):

Ananda Mohan P. V.

Keyword(s):

Signal Processing ◽

Digital Signal ◽

Advantages And Disadvantages ◽

Number Systems ◽

Residue Number Systems ◽

Residue Number ◽

Basic Concepts

Residue Number systems have been extensively studied in past four decades in view of their advantages in some applications in Digital Signal Processing and Cryptography. In this tutorial paper, we introduce the basic concepts highlighting the advantages and disadvantages over other number systems.