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In this paper, we propose a new scheme for Built-In Test (BIT) that uses Multiple-polynomial Linear Feedback Shift Registers (MP-LFSR's). The same MP-LFSR that generates random patterns to cover easy to test faults is loaded with seeds to generate deterministic vectors for difficult to test faults. The seeds are obtained by solving systems of linear equations involving the seed variables for the positions where the test cubes have specified values. We demonstrate that MP-LFSR's produce sequences with significantly reduced probability of linear dependence compared to single polynomial LFSR's. We present a general method to determine the probability of encoding as a function of the number of specified bits in the test cube, the length of the LFSR and the number of polynomials. Theoretical analysis and experiments show that the probability of encoding a test cube with s specified bits in an s-stage LFSR with 16 polynomials is 1–10^{-6}. We then present the new BIT scheme that allows for an efficient encoding of the entire test set. Here the seeds are grouped according to the polynomial they use and an implicit polynomial identification reduces the number of extra bits per seed to one bit. The paper also shows methods of processing the entire test set consisting of test cubes with varied number of specified bits. Experimental results show the tradeoffs between test data storage and test application time while maintaining complete fault coverage.Index Terms—Built-In Test, hardware test pattern generators, input test data compression and decompression, multiple-polynomial LFSR, reseeding, scan design

Looking through my word processor files I found that I have authored 15 papers and numerous PowerPoint presentations and tutorials that include the words Software Defined Radio or SDR somewhere in the title. One would think that I would have some under-standing of what is a software defined radio. One would think that wouldn't one? SDR has proven to be a many faceted creature. Participating in various SDR related activities has led me to understand that SDR is many things to many people and that the beauty of the beast is found in the eye of the beholder. These eyes see SDR as a wonderful opportunity to practice Digital Signal Processing Magic in the communications area. This talk will emphasize SDR activity near the physical layer of a communication system but will pay appropriate homage to higher level tasks and activities that enable the deployment of SDR systems. We will comment on a number of successful SDR systems.

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