Comparative Analysis of Spatio and Viterbi Encoding and Decoding Techniques in Hardware Description Language

1
Adesh Kumar
Adesh Kumar
2
Pooja Nagwal
Pooja Nagwal
3
Dhirendra Singh Gangwar
Dhirendra Singh Gangwar
1 University of Petroleum and Energy Studies Dehradun, India

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The paper focuses on the design and synthesis of hardware chip for Spatio and Viterbi encoding and decoding techniques. Both techniques are used for digital data encoding and decoding in transmitter and receiver respectively. These techniques are used for error control coding found in convolution codes. Spatio coding is also used to eliminate crosstalk among interconnect wires, thereby reducing delay. The encoded data is in packet form may be of ‘N’ bits. Data is decoded at different clock pluses at which it is encoded. A comparative analysis is done for hardware parameter, timing parameters and device utilization. Design is implemented in Xilinx 14.2 VHDL software, and functional simulation was carried out in Modelsim 10.1 b, student edition. Hardware parameters such as size cost and timings are extracted from the design code.

16 Cites in Articles

References

  1. Anubhuti Khare,Manish Saxena,Jagdish Patel (2011). FPGA Based Efficient Implementation of Viterbi Decoder.
  2. C Raghunandan,K Sainarayanan,M Srinivas (2006). Encoding with Repeater Insertion for Minimizing Delay in VLSI Interconnects.
  3. A Chitra,Roopa Ashwath (2012). M "design and Implementation of Viterbi Encoder and Decoder Using FPGA.
  4. George Kornaros Temporal Coding Schemes for Energy Efficient Data Transmission in Systems-onchip.
  5. J Ravindra,Navya Chittavu,M Srinivas (2006). Energy Efficient Spatial coding Technique for Low power VLSI Application.
  6. J Ravindra,K,M Srinivas (2005). An efficient power reduction technique for low power data I/O for military appilication.
  7. K Sainarayanan,C Raghunandan,M Srinivas (2007). Delay and Power Minimization in VLSI Interconnects with Spatio-Temporal Bus-Encoding Scheme.
  8. K Sainarayanan,J Ravindra,M Srinivas Minimizing Simulation Switching Noise (SSN) using Modified Odd/even Bus Invert Method.
  9. K Sainarayanan,C Raughunandan,M Srinivas (2006). Efficient Spatial-Temporal Coding Scheme for Minimizing Delay in Interconnects.
  10. K Sainarayanan,J Ravindra,Kiran Nath,M Srinivas (2006). Coding for Minimizing Energy in VLSI Interconnects.
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  16. R Singh,S Sapre Communication Systems Analog & Digital.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Adesh Kumar. 2013. \u201cComparative Analysis of Spatio and Viterbi Encoding and Decoding Techniques in Hardware Description Language\u201d. Global Journal of Computer Science and Technology - A: Hardware & Computation GJCST-A Volume 13 (GJCST Volume 13 Issue A1): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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August 1, 2013

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English

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The paper focuses on the design and synthesis of hardware chip for Spatio and Viterbi encoding and decoding techniques. Both techniques are used for digital data encoding and decoding in transmitter and receiver respectively. These techniques are used for error control coding found in convolution codes. Spatio coding is also used to eliminate crosstalk among interconnect wires, thereby reducing delay. The encoded data is in packet form may be of ‘N’ bits. Data is decoded at different clock pluses at which it is encoded. A comparative analysis is done for hardware parameter, timing parameters and device utilization. Design is implemented in Xilinx 14.2 VHDL software, and functional simulation was carried out in Modelsim 10.1 b, student edition. Hardware parameters such as size cost and timings are extracted from the design code.

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Comparative Analysis of Spatio and Viterbi Encoding and Decoding Techniques in Hardware Description Language

Pooja Nagwal
Pooja Nagwal
Adesh Kumar
Adesh Kumar University of Petroleum and Energy Studies Dehradun, India
Dhirendra Singh Gangwar
Dhirendra Singh Gangwar

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