Using Basic Block Based Instruction Prefetching to Optimize WCET Analysis for Real-Time Applications

2012 ◽  
Author(s):  
Fan Ni ◽  
Xiang Long ◽  
Han Wan ◽  
Xiaopeng Gao
Keyword(s):  
Real Time ◽  
Basic Block ◽  
Wcet Analysis ◽  
Instruction Prefetching ◽  
Real Time Applications ◽  
Block Based ◽  
Based Instruction

scholarly journals A Proposed Non Linear Block Based Approach for Image De-Noising Using Wavelet

2013 ◽  
Vol 5 (3) ◽  
pp. 226-231
Author(s):  
Tajinder Singh ◽  
Rajeev Bedi ◽  
S.K Gupta
Keyword(s):  
Image Processing ◽  
Real Time ◽  
Processing System ◽  
Noise Power ◽  
Blocking Artifacts ◽  
Linear Threshold ◽  
Non Linear ◽  
Real Time Applications ◽  
Block Based

Coding of images or processing of images has played a momentous role in the success of digital communications and multimedia. Coding plays a major role is 3D mobile generation. The image processing methods have been exploited through the years to improve the quality of digital images. In the image processing system De-noising based coding is used extensively. As we know that, in low bit rate applications, the blocking artifacts problem arises, which severely reduce the visual quality of the image. Reducing blocking artifacts is essential to render the compressed visual data acceptable to the viewer. So, to detect and reduce noise from the image is a major task. So removing the noise from original signal is still a challenging problem for researchers. There have been several published algorithms and each approach has its assumptions, advantages, and limitations. For real-time applications like television, photo-phone, etc. it is essential to reduce the noise power as much as possible and to retain the fine details and the edges in the image as well. Moreover, it is very important to have very low computational complexity so that the filtering operation is performed in a short time for online and real-time applications. The main focus of this paper is first to define an algorithm and based on that a non linear threshold filter is described which not only preserve the actual image structures in the presence of different types of noises (Salt & peepers, Speckle and Gaussian Noise) as well as it provide better  PSNR, MSE, MAE, & Time Complexity than others Classical algorithms.

Maintaining Consistency Over A Network in Real-Time Applications

1989 ◽  
Author(s):  
Insup Lee ◽  
Susan Davidson ◽  
Victor Wolfe
Keyword(s):  
Real Time ◽  
Real Time Applications

Peak-Power-Aware Energy Management for Periodic Real-Time Applications

2020 ◽  
Vol 39 (4) ◽  
pp. 779-788 ◽  
Author(s):  
Mohsen Ansari ◽  
Amir Yeganeh-Khaksar ◽  
Sepideh Safari ◽  
Alireza Ejlali
Keyword(s):  
Real Time ◽  
Energy Management ◽  
Peak Power ◽  
Real Time Applications
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