The convergence speed of shuffled message passing decoding (MPD) is faster than that of standard two phase message passing (TPMP) decoding. Due to complex memory access and requirement of large storage space, the shuffled MPD is not suitable for hardware implementation especially for high-rate LDPC codes. In this paper, we propose a modified shuffled MPD which can achieve a similar convergence speed but with reduced complexity in memory access and storage space as compared to the conventional shuffled MPD. We implement a rate-5/6 LDPC decoder based on the proposed algorithm.

Providing appropriate learning content to each student is a key to the success of a Web-based distance learning system. Student test results can be an important feedback for the instructor to re-evaluate the course content. A test result feedback (TRF) model that analyzes the relationship between student learning time and corresponding test result is developed The model can give the instructor crucial information for course content refinement. It can also suggest the student with a personalized make-up course or appropriate advanced courses for further study. All these can be done automatically without interfering the student learning and/or increasing the instructor working load In our design, all Web courses are dynamically assembled with selected course units.

In this paper, we propose two new methods for computing the transient sensitivities of large scale MOSFET circuits, which exploit the relaxation-based circuit simulation techniques, the waveform relaxation (WR) method and the iterated timing analysis (ITA) method. Sufficient conditions are stated and proven, which are quite mild for MOSFET circuits, for convergence of these new methods. A pruning scheme, which prunes the sensitivity circuits, takes the positions of the design parameters as well as the outputs of interest into account and saves any redundant subcircuit computation even though that subcircuit may not be latent. By modifying the original WR and ITA algorithms, we also present practical computational algorithms which can process multiple design parameters. These practical algorithms retain most of the structures of the original algorithms, which can easily be implemented into available relaxation-based circuit simulators. These new methods have been implemented and the experimental results for several circuits are shown to demonstrate their effectiveness.>

A method to compute the transient sensitivities for waveform relaxation (WR)-based circuit simulation is presented. By partitioning the circuit into subcircuits, one computes the transient sensitivities for each 'active' subcircuit and then propagates the calculated results to the succeeding subcircuits to iterate for the entire sensitivities. Experimental results show that the proposed method provides sensitivity waveforms which are very close to those obtained by the direct method in a reasonably short time, and works well even though the circuit contains feedback loops.>