The results of a literature survey of human performance and coding techniques are presented. Recommendations are given for the application of coding techniques to the design of VDU formats (screen layouts) in a proces...
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The results of a literature survey of human performance and coding techniques are presented. Recommendations are given for the application of coding techniques to the design of VDU formats (screen layouts) in a process plant context. The coding techniques considered are colour, brightness, inverse video, flash, size and shape. The recommendations discuss the relative merits of the different techniques for presenting plant information, and the practical problems of applying a particular code. Some suggestions are given for further work.
As device geometries shrink, power supply voltage decreases, and chip complexity increases, the noise induced by the increased amount of simultaneously switching devices (especially the strong bus drivers (SSN)), is b...
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ISBN:
(纸本)0769524060
As device geometries shrink, power supply voltage decreases, and chip complexity increases, the noise induced by the increased amount of simultaneously switching devices (especially the strong bus drivers (SSN)), is becoming crucial in determining the signal integrity of a system. In this paper we propose new ways of merging transition reducing coding techniques with coding techniques for fault tolerant busses (implementing either error detecting codes and error recovery, or correcting codes). In particular we focus on merging bus-invert code along with the employed error detection or correction coding technique, and show that the maximum number of simultaneous switching drivers can be drastically reduced, thus reducing the SSN and increasing signal integrity. Furthermore, we show how, by properly merging the bus invert encoder and the check bit generator, the latency introduced by the proposed coding techniques can be minimized and the number of additional wires can be kept minimal.
Two-dimensional magnetic recording (TDMR) is an emerging storage technology that aims to achieve areal densities on the order of 10 Tb/in 2, mainly driven by innovative channels engineering with minimal changes to exi...
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Two-dimensional magnetic recording (TDMR) is an emerging storage technology that aims to achieve areal densities on the order of 10 Tb/in 2, mainly driven by innovative channels engineering with minimal changes to existing head/ media designs within a systems framework. Significant additive areal density gains can be achieved by using TDMR over bit patterned media (BPM) and energy-assisted magnetic recording (EAMR). In TDMR, the sectors are inherently 2-D with reduced track pitch and bit widths, leading to severe 2-D intersymbol interference (ISI). This necessitates the development of powerful 2-D signal processing and coding algorithms for mitigating 2-D ISI, timing artifacts, jitter, and electronics noise resulting from irregular media grain positions and read-head electronics. The algorithms have to be eventually realized within a read/write channel architecture as a part of a system-on-chip (SoC) within the disk controller system. In this work, we provide a wide overview of TDMR technology, channel models and capacity, signal processing algorithms (detection and timing recovery), and error-correcting codes attuned to 2-D channels. The innovations and advances described not only make TDMR a promising future technology, but may serve a broader engineering audience as well.
Tables of irreducible polynomials and their exponents are listed for certain small nonprime Galois fields. These include all such polynomials up to and including degree 5 for GF(4), degree 3 for GF(8) and GF(9), and d...
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Tables of irreducible polynomials and their exponents are listed for certain small nonprime Galois fields. These include all such polynomials up to and including degree 5 for GF(4), degree 3 for GF(8) and GF(9), and degree 2 for GF(16). In addition, a single primitive polynomial is given for each degree up to and including degree 11 for GF(4), degree 7 for GF(8) and GF(9), and degree 5 for GF(16). A brief summary is given of several areas where these results may prove useful in providing an alternative to the more conventional approach.
A general method for designing two-layer neural networks which can be used as pattern classifiers is presented. The method is based on coding techniques. It is independent of the number of pattern elements and results...
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A general method for designing two-layer neural networks which can be used as pattern classifiers is presented. The method is based on coding techniques. It is independent of the number of pattern elements and results in a minimal-cost implementation for correcting and detecting random errors from black to white or from white to black. It can also detect all the unidirectional errors from white to black and all the unidirectional errors from black to white, preventing incorrectly recognized input images. It reduces the number of connections needed by the resulting neural networks by more than 80 % , as is shown in an example. compared with the other currently available methods.
The power used by the NoC resources increases as the number of processing elements rises. Due to the switching activities contained in the data bits being sent, NoC links are the main power dissipators in the NoC desi...
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Though most image coding techniques use a raster scan to order pixels prior to coding, Hilbert and other scans have been proposed as having better performance due to their superior locality preserving properties. Howe...
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Though most image coding techniques use a raster scan to order pixels prior to coding, Hilbert and other scans have been proposed as having better performance due to their superior locality preserving properties. However, a general understanding of the merits of various scans has been lacking. This paper develops an approach for quantitatively analyzing the effect of pixel scan order for context-based, predictive lossless image compression and uses it to compare raster, Hilbert, random and hierarchical scans. Specifically, for a quantized-Gaussian image model and a given scan order, it shows how the encoding rate can be estimated from the frequencies with which various pixel configurations are available as previously scanned contexts, and from the corresponding conditional differential entropies. Formulas are derived for such context frequencies and entropies. Assuming an isotropic image model and contexts consisting of previously scanned adjacent pixels, it is found that the raster scan is better than the Hilbert scan which is often used in compression applications due to its locality preserving properties. The hierarchical scan is better still, though it is based on nonadjacent contexts. The random scan is the worst of the four considered. Extensions and implications of the results to lossy coding are also discussed.
As device geometries shrink and power supply voltages decrease, simultaneous switching noise has increasingly detrimental effects on IC reliability. The authors investigate the worst-case conditions for SSN generated ...
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As device geometries shrink and power supply voltages decrease, simultaneous switching noise has increasingly detrimental effects on IC reliability. The authors investigate the worst-case conditions for SSN generated by a single switching wire and analyze the impact of transition-reducing encoding on SSN. They show that switching-pattern and layout considerations have a significant impact on TRE performance.
This paper introduces an effective technique for the compression of one-dimensional signals using wavelet transforms. It is based on generating a binary stream of 1s and 0s that encodes the wavelet coefficients struct...
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This paper introduces an effective technique for the compression of one-dimensional signals using wavelet transforms. It is based on generating a binary stream of 1s and 0s that encodes the wavelet coefficients structure (i.e., encodes the locations of zero and nonzero coefficients). A new coding algorithm, similar to the run length encoding, has been developed for the compression of the binary stream. The compression performances of the technique are measured using compression ratio (CR) and percent root-mean square difference (PRD) measures. To assess the technique properly we have evaluated the effect of signal length, threshold levels selection and wavelet filters on the quality of the reconstructed signal. The effect of finite word length representation on the compression ratio and PRD is also discussed. The technique is tested for the compression of normal and abnormal electrocardiogram (ECG) signals. The performance parameters of the proposed coding algorithm are measured and compression ratios of 19:1 and 45:1 with PRDs of 1% and 2.8% are achieved, respectively. At the receiver end, the received signal is decoded and inverse transformed before being processed. Finally, the merits and demerits of the technique are discussed. (C) 2002 IPEM. Published by Elsevier Science Ltd. All rights reserved.
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