A hardwired generalized algorithm for generating the logarithm base-k by iteration
IEEE Transactions on Computers
Floating-Point to Logarithmic Encoder Error Analysis
IEEE Transactions on Computers
An Interpolating Memory Unit for Function Evaluation: Analysis and Design
IEEE Transactions on Computers
Initializing RAM-based logarithmic processors
Journal of VLSI Signal Processing Systems - Special issue: 1990 Workshop on VLSI signal processing
The logarithmic number system for strength reduction in adaptive filtering
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
IEEE Transactions on Computers - Special issue on computer arithmetic
The Symmetric Table Addition Method for Accurate Function Approximation
Journal of VLSI Signal Processing Systems
Function Evaluation by Table Look-up and Addition
ARITH '95 Proceedings of the 12th Symposium on Computer Arithmetic
Faithful Bipartite ROM Reciprocal Tables
ARITH '95 Proceedings of the 12th Symposium on Computer Arithmetic
Symmetric Bipartite Tables for Accurate Function Approximation
ARITH '97 Proceedings of the 13th Symposium on Computer Arithmetic (ARITH '97)
Complex Logarithmic Number System Arithmetic Using High-Radix Redundant CORDIC Algorithms
ARITH '99 Proceedings of the 14th IEEE Symposium on Computer Arithmetic
Fast Fourier Transforms Using the Complex Logarithmic Number System
Journal of VLSI Signal Processing Systems
Improving Accuracy in Mitchell's Logarithmic Multiplication Using Operand Decomposition
IEEE Transactions on Computers
Accuracy of MFCC-based speaker recognition in series 60 device
EURASIP Journal on Applied Signal Processing
Multi-Gb/s LDPC code design and implementation
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Hi-index | 0.00 |
Use of low-precision logarithms can minimize power consumption and increase the speed of multiply-intensive signal-processing systems, such as FIR filters. Although straight table lookup is the most obvious way to compute the logarithm, Maenner claims to have discovered a technique that produces four extra bits at no cost. We analyze Maenner's technique and show that in fact the technique provides only one extra bit of precision. A related technique by Kmetz, which has never been analyzed before, is shown here to be more accurate than Maenner's. We compare these techniques to the more complex bipartite technique, and show that Kmetz's technique takes less memory for systems requiring fewer than ten bits of precision.