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Complete Reference of FFC

[1]            C. Shi, and R. W. Brodersen, “Floating-point to fixed-point conversion,” To be published, IEEE Trans. Signal Processing. 2004

[2]            C. Shi, and R. W. Brodersen, “An automated floating-point to fixed-point conversion methodology,” Proc. IEEE Int. Conf. on Acoust., Speech, and Signal Processing, Vol. 2, pp. 529-532, April 2003.

[3]            C. Shi, “Statistical method for floating-point to fixed-point conversion,” 2002, Master Thesis, Department of EECS, Univ. of California, Berkeley. (Advisor: Robert W. Brodersen).

[4]            A. V. Oppenheim, and R. W. Schafer, with J. R. Buck. Discrete-Time Signal Processing. 2nd ed., Prentice Hall, 1999, ch. 6.

[5]            L. B. Jackson. Digital filters and signal processing: with MATLAB exercises, 3rd ed. Boston : Kluwer Academic Publishers, 1996

[6]            S. S. Haykin. Adaptive filter theory. 3rd Edition. Prentice Hall, 1996.

[7]            R. M. Gray, and D. L. Neuhoff, “Quantization,” IEEE Trans. Inform. Theory, vol. 44, No. 6, pp. 2325-2383, Oct. 1998.

[8]            D. A. Patterson, and J. L. Hennessy, Computer Organization & Design—the Hardware/software interface, 2nd ed., Morgan Kaufmann, 1998, ch. 4.

[9]            C. Fang, T. Chen, and R. A. Rutenbar, “Floating-point error analysis based on affine arithmetic,” Proc. IEEE Int. Conf. on Acoust., Speech, and Signal Processing., vol. 2, pp. 561-564, Apr. 2003.

[10]         J. H. McClellan, et al. Computer-based Exercises for Signal Processing using Matlab. Prentice Hall, 1998.

[11]         P. H. Bauer, and L. Leclerc, “A computer-aided test for the absence of limit cycles in fixed-point digital filters,” IEEE Trans. Signal Processing, vol. 39, pp. 2400-2410, Nov. 1991.

[12]         K. Chang, and W. G. Bliss, “Limit cycle behavior of pipelined recursive digital filters,” IEEE Trans. Circuits Syst.—II: Analog and Digital Signal Processing, vol. 41, pp. 351-355, May 1994.

[13]         H. Keding, M. Willems, M. Coors, and H. Meyr, “FRIDGE: a fixed-point design and simulation environment,” Proceedings of Design, Automation and Test in Europe, pp. 429-435, 1998.

[14]         R. Cmar, L. Rijnders, P. Schaumont, S. Vernalde, and I. Bolsens, “A methodology and design environment for DSP ASIC fixed point refinement”, Design, Automation and Test in Europe Conference and Exhibition 1999. Proceedings, pp. 271 –276, 1999.

[15]         S. Kim, K. Kum and W. Sung, “Fixed-point optimization utility for C and C++ based digital signal processing programs,” IEEE Trans. On Circuits Syst. II: Analog and Digital Signal Processing, vol. 45, pp. 1455-1464, 1998.

[16]         D. Menard, and O. Sentieys, “A methodology for evaluating the precision of fixed-point systems,” IEEE Int. Conf. on Acoust., Speech, and Signal Process., vol. 3, pp. 3152-3155, 2002.

[17]         M. A. Cantin, Y. Savaria, and P. Lavoie, “A comparison of automatic word length optimization procedures,” IEEE Int. Sym. Circuits Syst., 2002, vol. 2, pp. 612 -615.

[18]         X. Hu, S. C. Bass, “A neglected error source in the CORDIC algorithm,”
IEEE Int. Sym. on Circuits Syst., vol. 1, pp. 766 -769, May 1993.

[19]         P. W. Wong, “Quantization and roundoff noises in fixed-point FIR digital filters,” IEEE Trans. Signal Processing, vol. 39, pp. 1552-1563, July 1991.

[20]         R. M. Gray, “Quantization noise spectra,” IEEE Trans. Inform. Theory, vol. 36, pp. 1220-1244, Nov. 1990.

[21]         S. R. Parker, and P. E. Girard, “Correlated noise due to roundoff in fixed point digital filters,” IEEE Trans. Circuits Syst., vol. cas-23, pp. 204-211, Apr. 1976.

[22]         I. Tokaji, C. W. Barnes, “Roundoff error statistics for a continuous range of multiplier coefficients,” IEEE Trans. Circuits Syst., vol. cas-34, pp. 52-59, Jan. 1987.

[23]         A. B. Sripad and D. L. Snyder, “A necessary and sufficient condition for quantization errors to be uniform and white,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-25, pp. 442-448, Oct. 1977.

[24]         C. Barnes, B. N. Tran, and S. H. Leung, “On the statistics of fixed-point roundoff error,” IEEE Trans. Acoust., Speech, and Signal Processing, vol. asp-33, pp. 595-606, June 1985.

[25]         J. C. M. Bermudez, and N. J. Bershad, “A nonlinear analytical model for the quantized LMS algorithm-the arbitrary step size case,” IEEE Trans. Signal Processing, vol. 44, pp. 1175 -1183, May 1996.

[26]         N. J. Bershad, and J. C. M. Bermudez, “A nonlinear analytical model for the quantized LMS algorithm-the power-of-two step size case,” IEEE Trans. Signal Processing, vol. 44, pp. 2895-2900, Nov. 1996.

[27]         M. Leban, and J. Tasic, “A fixed-point quantization model in the statistical analysis of adaptive filters,” 1998.

[28]         N. J. Bershad, “Nonlinear quantization effects in the LMS and block LMS adaptive algorithms-a comparison,” IEEE Trans. Acoust. Speech, and Signal Processing, vol. 37, pp. 1540-1512, Oct. 1989.

[29]         C. Caraiscos, and B. Liu, “A roundoff error analysis of the LMS adaptive algorithm,” IEEE Trans. Acoust. Speech, and Signal Processing, vol. 32, pp. 34-41, Feb 1984.

[30]         P. S. Chang, and A. N. Willson, Jr., “A roundoff error analysis of the normalized LMS algorithm,” Record 29th Asilomar Conf. Signals, Systems, and Computers, vol. 2, pp. 1337-1341, 1995.

[31]         J. M. Cioffi, “Limited-precision effects in adaptive filtering,” IEEE Trans. Circuits Syst., vol. cas-34, pp. 871-883, July 1987.

[32]         J. M. Cioffi, “A finite precision analysis of the block-gradient adaptive data-driven echo canceller,” IEEE Trans. Comm., vol. 40, May 1992.

[33]         M. L. R. de Campos, P. S. R. Diniz, and A. Antoniou, “A finite wordlength analysis of an LMS-Newton adaptive filtering algorithm,” IEEE Int. Sym. Circuits and Syst., vol. 1, pp. 870-873, May 1993.

[34]         P. S. R. Diniz, M. L. R. de Campos, and A. Antoniou, “Analysis of LMS-Newton adaptive filtering algorithms with variable convergence factor,” IEEE Trans. Signal Processing, vol. 43, pp. 617-627, Mar. 1995.

[35]         S. Gazor, and B. Farhang-Boroujeny, “Quantization effects in transform- domain normalized LMS algorithm,” IEEE Trans. Circuits and Syst. II: Analog and Digital Signal Processing, vol. 39, pp. 1-7, Jan. 1992

[36]         R. Gupta, and A. O. Hero, III, “Power versus performance tradeoffs for reduced resolution LMS adaptive filters,” IEEE Trans. Signal Processing, vol. 48, pp. 2772-2784, Oct. 2000.

[37]         R. Seara, J. C. M. Bermudez, W. P. Carpes, Jr., “An improved quantization model for the finite precision LMS adaptive algorithm,” IEEE Int. Sym. Circuits Syst., pp. 858-861, May 1993.

[38]         D. Sherwood, and N. Bershad, “Nonlinear quantization effects in the frequency domain complex scalar LMS adaptive algorithm,” IEEE Trans. Acoust., Speech, and Signal Processing, vol. 34, pp. 140-151, Feb. 1986.

[39]         D. Sherwood, and N. Bershad, “Quantization effects in the complex LMS adaptive algorithm: Linearization using dither-theory,” IEEE Trans. Circuits and Syst., vol. 34, pp. 848-854, Jul. 1987.

[40]         N. R. Yousef, A. H. Sayed, “A unified approach to the steady-state and tracking analyses of adaptive filters,” IEEE Trans. Signal Processing, vol. 49, pp. 314-324, Feb. 2001.

[41]         W. Sethares, D. Lawrence, C. Johnson, Jr., and R. Bitmead, “Parameter drift in LMS adaptive filters,” IEEE Trans. Acoust., Speech, and Signal Processing, vol. 34, pp. 868-879, Aug. 1986.

[42]         S. Y. Park, and N. I. Cho, “Fixed point error analysis of CORDIC processor based on the variance propagation,” Proc. IEEE Int. Conf. Acoust., Speech, and Signal Processing, vol. 2, pp. 565-568, Apr. 2003

[43]         B. Zeng, and L. Gu, “Roundoff noise analysis of paraunitary filter banks realized in lattice structure,” Proc. IEEE Digital signal Processing Workshop, pp. 93-96, Sept. 1996.

[44]         C. A. Rabbath, and N. Hori, “On the implementation of filters subjected to quantization of coefficients,” Proc. Int. Conf. Digital Signal Processing, vol. 2, pp. 665-670. July 1997.

[45]         A. Krukowski, R. C. S. Morling, L. Kale, “Quantization effects in the polyphase N-path IIR structure,” IEEE Trans. Instrumentation and Measurement, vol. 51, pp. 1271-1278, Dec. 2002.

[46]         J. Proakis, Digital Communications, 4th ed. McGraw-Hill, 2000, ch. 1-3.

[47]         V. Mathews, and S. Cho, “Improved convergence analysis of stochastic gradient adaptive filters using the sign algorithm,” IEEE Trans. Acoust., Speech, and Signal Processing, vol. 35, pp.450-454, Apr. 1987.

[48]         P. J. Bickel and K. A. Doksum, Mathematical statistics: basic ideas and selected topics. 2nd Edition, Prentice Hall, 2001.

[49]         L. De Coster, M. Ade, R. Lauwereins, and J. Peperstraete, “Code generation for compiled bit-true simulation of DSP applications,” Proceedings of 11th Int. Sym. on system synthesis, pp. 9 –14, 1998.

[50]         K. Kuusilinna, et al, "Real-time System-on-Chip Emulation," Chapter 10, Winning the SoC Revolution, Kluwer Academic Publishers, pp. 229-253, 2003.

[51]         C. Shi, and R. W. Brodersen, “Floating-point to fixed-point conversion with decision errors due to quantization,” Proc. IEEE Int. Conf. on Acoust., Speech, and Signal Processing, 2004, Canada.

[52]         C. Shi, and R. W. Brodersen, “A perturbation theory on statistical quantization effects in fixed-point DSP with non-stationary input,” Proc. IEEE Int. Sym. Circs. and Sys., 2004, Canada.

[53]         C. Shi, R. W. Brodersen, “Automated Fixed-point Data-type Optimization Tool for Signal Processing and Communication Systems,” Design Automation Conference, San Diego, June 2004.

[54]         G. E. P. Box, "Simpling and Bayes inference in scientific modeling and robustness (with discussion)," J. Royal Statist. Soc. A 143, pp. 383-430, 1979.

[55]         W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C, 2nd Edition, Cambridge university press, 1996, pp. 28-31.

[56]         W. R. Davis, et al, “A design environment for high-throughput low-power dedicated signal processing systems,” IEEE Journal of Solid State Circuits, vol. 37, No. 3, pp. 420-431, Mar. 2002.

[57]         Haiyun Tang, “A Unified Approach to Wireless System Design,” PhD thesis, University of California at Berkeley, 2003. Advised by Professor Robert W. Brodersen

[58]         Ning Zhang, “Algorithm/Architecture Co-Design for Wireless Communication Systems,” PhD thesis, University of California at Berkeley, 2001. Advised by Professor Robert W. Brodersen

[59]         The MathWorks, Inc. Simulink. [Online]. Available: http://www.mathworks.com.

[60]         The Xilinx, Inc. System Generator. [Online]. Available: http://www.xilinx.com .  Once at above website, search on “System Generator” and “System Generator Resource Estimation” for related information.

[61]         SystemC system-level co-design language. [Online] Website available: http://www.systemc.org.

[62]         AccelChip Inc., [online] Website available: http://www.accelchip.com/

[63]         S. Boyd, and L. Vandenberghe. Convex optimization. [Online]. Available: http://www.stanford.edu/~boyd/cvxbook.html.

[64]         C. Shi, et. al., “An Automated Pre-netlisting FPGA-Resource Estimation Tool,”  Submitted to International Conference, Field Programmable Logics and Its Applications, 2004

[65]         W. Sung, and K. Kum, “Simulation-based word-length optimization method for fixed-point digital signal processing systems,” IEEE Trans. Signal Processing, vol. 43, no. 12, Dec. 1995.

[66]         N. Zhang, B. Haller, and R. W. Brodersen, "Systematic architecture exploration for implementing interference suppression techniques in wireless receivers,” Proc. IEEE Workshop on Signal Processing Systems, LA, October 2000.

[67]         M. Nemani, and F. N. Najm, “High-level area and power estimation for VLSI circuits,” IEEE Tran. Computer-Aided Design of Integrated Circuits and Systems, vol 18, pp. 697-713, June 1999.

[68]         Mosek optimization toolbox. [Online]. Available: http://www.mosek.com.

[69]         C. Shi, and R. W. Brodersen, “A perturbation theory on quantization effects in digital signal processing,” In preparation. IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing.

[70]         D. Markovic, R. W. Brodersen, “MIMO SVD Based Algorithm Implementation”, 2002 BWRC Winter Retreat, In publication list of MCMA group webpage at

http://bwrc.eecs.berkeley.edu/Research/MCMA

[71]         Mike Shuo-Wei Chen, "Ultra Wide-band Baseband Design and Implementation", M.S. Thesis, EECS Department, University of California, Berkeley. 2002.  (advisor: Robert W. Brodersen).

[72]          J. B. Knowles and E.M. Olcayto, “Coefficient accuracy and digital filter response,” IEEE Trans. Circuit Theory, vol. CT-15, Mar. 1968, pp. 31-41.

[73]         Dietrich Schlichthärle, Digital filters: basics and design,. Berlin, New York: Springer, 2000.

[74]         K. K. Parhi, VLSI Digital Signal Processing Systems. John Wiley & Sons, INC. 1999.  

[75]         K. Chang, W. G. Bliss, “Finite word-length effects of pipelined recursive digital filters,” IEEE Transactions on Signal Processing, Vol. 42, Aug. 1994  pp 1983 –1995

[76]         J. Ma, K. K. Parhi, E. F. Deprettere, “Pipelined CORDIC-based cascade orthogonal IIR digital filters,” IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 47, Nov. 2000, pp 1238 –1253.

[77]         R. K. Brayton, C. H. Tong, “Constructive Stability and asymptotic Stability of Dynamical Systems” IEEE Trans. CAS-26, pp 1121-1130, 1980.

[78]         K. Premaratne, E. C. Kulasekere, P. H. Bauer, L. J. Leclerc, “An exhaustive search algorithm for checking limit cycle behavior of digital filters,” IEEE International Symposium on Circuits and Systems, Vol. 3, 1995, pp 2035 -2038.

[79]         CoCentric System from Synopsys Inc., [online] website available http://www.synopsys.com, search for CoCentric.

[80]         E. Eweda, N. Yousef, S. El-Ramly, “Reducing the effect of finite wordlength on the performance of an LMS adaptive filter,” IEEE International Conference on Communications, Vol.2, 1998 pp 688 -692.

[81]         McLernon, D.C. “Finite wordlength effects in two-dimensional multirate periodically time-varying filters,” IEE Proceedings Circuits, Devices and System, Vol. 144, 1997, pp 277 –283.

[82]         Al-Dhahir, N.On finite word length effects for the FIR MMSE-DFE,IEEE Communications Letters, Vol. 2, Aug. 1998, pp 238 –240.

[83]         Yasukawa, K.; Milstein, L.B., “Finite word length effects on the performance of MMSE receiver for DS-CDMA systems,IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, Vol. 2, 1997, pp 724 -728.

[84]         Song, M.S.; Yang, P.P.N.; Shenoi, K. “Nonlinear compensation for finite word length effects of an LMS echo canceller algorithm suitable for VLSI implementation,” ICASSP, 1988, pp. 1487 -1490, vol.3.

[85]         Sanjit K. Mitra. Digital signal processing: a computer-based approach. 2nd ed. Boston : McGraw-Hill/Irwin, 2001

[86]         M. Chen, C, Shi. “EE290s Project Report – Adaptive receiver for UWB data Recovery,” Fall 2001, EECS, UC. Berkeley.

[87]         R. Price, “A Useful Theorem for Nonlinear Devices Using Gaussian Inputs,” IEEE Trans. Information Theory, 1958, pp 69-72.

[88]         C. Shi, FFC website with all the source codes and related documents. Available [online] http://bwrc.eecs.berkeley.edu/people/grad_student/ccshi/research/  .

[89]         C. Chang, et. al., “Rapid Design and analysis of communication systems using the BEE hardware emulation environment,” RSP, 2003.

[90]         A. Nayak, M. Haldar, A. Choudhary, and P. Banerjee, “Accurate Area and Delay Estimators for FPGAs,” Proc. Design Automation and Test in Europe, Mar. 2002, Paris, France.

[91]         D. B. Parlour, “The reality and promise of reconfigurable computing in digital signal processing,” Tutorial of ISSCC, Feb 15-19, 2004

[92]         R. Jain, C. Chien, E. Cohen, and L. Ho, “Simulation and synthesis of VLSI communication systems,” Proc. Int. Conf. VLSI Design 1998, pp 336-341.

[93]         R. Jain, J. Vandewalle, and H. DeMan, “Efficient and accurate multiparameter analysis of linear digital filters using a multivariable feedback representation,” IEEE Trans. Circuits and Systems, Vol. 32, No.3, 1985, pp 225-235.

[94]         R. Jain, P. Yang, T. Yoshino, “FIRGEN: a computer-aided design system for high performance FIR filter integrated circuits,” IEEE Trans. Signal Processing. Vol. 39, No. 7. 1991, pp 1665-1678.

[95]         SPW from CoWare Inc., [online] Website available http://www.coware.com

[96]         Ptolemy project, [online] Website available http://ptolemy.eecs.berkeley.edu

 

    [Changchun's Research Page] [BWRC Webpage] [UC Berkeley]