Results 111 to 120 of about 337 (147)
Some of the next articles are maybe not open access.
An approach to eliminate roundoff errors in digital filters
ICASSP '78. IEEE International Conference on Acoustics, Speech, and Signal Processing, 1979"Second-order quantizers" are introduced which can be used for implementing recursive digital filters with practically no roundoff errors or limit-cycle oscillations. Based on the idea of changing the transfer function used to compute roundoff errors, these quantizers save the low-order bits to correct the product at future iterations. For several pole
Ahmad I. Abu-El-Haija, Allen M. Peterson
openaire +1 more source
Roundoff error analysis of the pipelined ADPCM coder
1993 IEEE International Symposium on Circuits and Systems, 2002Roundoff error analysis of a pipelined adaptive differential pulse code modulation (ADPCM) coder is presented. The pipelined coder has been developed by employing the relaxed look-ahead technique. It is shown that the precision of the quantized prediction error and those of the predictor coefficients are critical.
Naresh R. Shanbhag, Keshab K. Parhi
openaire +1 more source
Limit distribution of a roundoff error
Statistics & Probability Letters, 2012Denote by \([x]:=\sup\{m\in\mathbb{Z}:\,m\leq x\}\) the integral part of \(x\in\mathbb{R}\) and by \(\{x\}:=x-[x]\in[0,1)\) its fractional part. Let \(X\) be a random variable. The conditional distribution function \(F_n(x):=P(\{X\}\leq x \mid [X]=n)\) for an integer \(n\in\mathbb{N}\) is investigated. Characterizations of the limit of \(F_n\) when \(n\
openaire +2 more sources
Roundoff error analysis of the PCA networks
IEEE Instrumentation and Measurement Technology Conference Sensing, Processing, Networking. IMTC Proceedings, 2002This paper deals with some of the effects of finite precision data representation and arithmetics in principal component analysis (PCA) neural networks. The PCA networks are single layer linear neural networks that use some versions of Oja's learning rule.
T. Szabo, G. Horvath
openaire +1 more source
Comments on "Roundoff Errors in Signal Averaging Systems"
IEEE Transactions on Biomedical Engineering, 1987In this paper1 the author finds the degradation in signal-to-noise ratio (SNR) of a signal averaging system output as a function of A/D bits. The results stated are based on certain assumptions which do not hold for low values of A/D bits. Under these conditions the results seriously overestimate the SNR degradation.
openaire +2 more sources
Roundoff Error and Double Precision
1977As we have seen, most applications of computers to calculus involve the evaluation of several terms in a sequence. The evaluations continue until some criterion is satisfied. In Figure 1–5 for example, the criterion was that the terms of two sequences differ by less than 10-3. In EXERCISE 5–5 the values of the sequence \( \frac{{f(1.8 + {{10}^{{ - n}}})
openaire +1 more source
Roundoff errors in floating-point summation
BIT, 1975All possible schemes for the calculation of the sum ofn addends by means ofn−1 floating-point additions is considered and in case of positive addends it is shown how to use the Huffman algorithm to choose a scheme to obtain the least upper bound on the accumulated roundoff error in the result.
openaire +2 more sources
Efficient Calculation of the Effects of Roundoff Errors
ACM Transactions on Mathematical Software, 1978John L. Larson, Ahmed H. Sameh
openaire +2 more sources

