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A novel DDS using nonlinear ROM addressing with improved compression ratio and quantization noise.

Lakshmi S Jyothi Chimakurthy1, Malinky Ghosh, Fa Foster Dai

  • 1Department of Electrical and Computer Engineering, Auburn University, Auburn, AL 36849-5201, USA.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
|March 15, 2006
PubMed
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This study introduces a new method to compress Read-Only Memory (ROM) for direct digital frequency synthesis (DDFS). The technique significantly reduces ROM size while maintaining high performance, offering a more efficient digital signal processing solution.

Area of Science:

  • Electrical Engineering
  • Digital Signal Processing

Background:

  • Direct Digital Frequency Synthesis (DDFS) architectures often require large Read-Only Memory (ROM) to store sinusoidal waveforms.
  • Efficient ROM compression is crucial for reducing hardware complexity and power consumption in DDFS systems.

Purpose of the Study:

  • To present a novel ROM compression technique for DDFS based on the piecewise linear approximation and slope variation properties of a sine function.
  • To develop a DDFS architecture that significantly reduces ROM size while maintaining a comparable spurious response to existing methods.

Main Methods:

  • Approximation of a sinusoid using a piecewise linear technique.
  • Utilizing the variation in the slope of the sinusoid at different phase angles for adaptive interpolation.
  • Implementing linear and nonlinear addressing schemes for calculating interpolation points.

Related Experiment Videos

  • Comparing the spurious performance of the proposed DDFS architecture against conventional and linear ROM architectures using FPGAs.
  • Main Results:

    • Achieved a high ROM compression ratio through an adaptive nonlinear addressing scheme.
    • The proposed DDFS architecture demonstrated a spurious response comparable to recent ROM compression techniques.
    • FPGA implementation validated the effectiveness of the proposed technique.

    Conclusions:

    • The novel DDFS ROM compression technique effectively reduces memory requirements.
    • The method offers a practical solution for developing more compact and efficient DDFS systems.
    • The adaptive nonlinear addressing scheme is key to achieving significant ROM size reduction.