Minimizing cost of local variables access for DSP-processors

1999 ◽  
Author(s):  
Erik Eckstein ◽  
Andreas Krall
Keyword(s):  
Dsp Processors

scholarly journals Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3635 ◽  
Author(s):  
Guoming Zhang ◽  
Xiaoyu Ji ◽  
Yanjie Li ◽  
Wenyuan Xu
Keyword(s):  
Smart Grid ◽  
Power Consumption ◽  
Real Time ◽  
Condition Monitoring ◽  
Resource Constraints ◽  
Detection System ◽  
Stable Operation ◽  
Detection Accuracy ◽  
Monitoring Method ◽  
Dsp Processors

As a critical component in the smart grid, the Distribution Terminal Unit (DTU) dynamically adjusts the running status of the entire smart grid based on the collected electrical parameters to ensure the safe and stable operation of the smart grid. However, as a real-time embedded device, DTU has not only resource constraints but also specific requirements on real-time performance, thus, the traditional anomaly detection method cannot be deployed. To detect the tamper of the program running on DTU, we proposed a power-based non-intrusive condition monitoring method that collects and analyzes the power consumption of DTU using power sensors and machine learning (ML) techniques, the feasibility of this approach is that the power consumption is closely related to the executing code in CPUs, that is when the execution code is tampered with, the power consumption changes accordingly. To validate this idea, we set up a testbed based on DTU and simulated four types of imperceptible attacks that change the code running in ARM and DSP processors, respectively. We generate representative features and select lightweight ML algorithms to detect these attacks. We finally implemented the detection system on the windows and ubuntu platform and validated its effectiveness. The results show that the detection accuracy is up to 99.98% in a non-intrusive and lightweight way.

scholarly journals Real-Time Neural Signals Decoding onto Off-the-Shelf DSP Processors for Neuroprosthetic Applications

2016 ◽  
Vol 24 (9) ◽  
pp. 993-1002 ◽  
Author(s):  
Danilo Pani ◽  
Gianluca Barabino ◽  
Luca Citi ◽  
Paolo Meloni ◽  
Stanisa Raspopovic ◽  
...  
Keyword(s):  
Real Time ◽  
Neural Signals ◽  
Dsp Processors

Chess : Retargetable Code Generation for Embedded DSP Processors

2002 ◽  
pp. 85-102 ◽  
Author(s):  
Dirk Lanneer ◽  
Johan Praet ◽  
Augusli Kifli ◽  
Koen Schoofs ◽  
Werner Geurts ◽  
...  
Keyword(s):  
Code Generation ◽  
Embedded Dsp ◽  
Dsp Processors

FlexCC2: An Optimizing Retargetable C Compiler for DSP Processors

2002 ◽  
pp. 382-398 ◽  
Author(s):  
Valérie Bertin ◽  
Jean-Marc Daveau ◽  
Philippe Guillaume ◽  
Thierry Lepley ◽  
Denis Pilat ◽  
...  
Keyword(s):  
C Compiler ◽  
Dsp Processors

Software-defined DVT-T2 demodulator using scalable DSP processors

2013 ◽  
Vol 59 (2) ◽  
pp. 428-434 ◽  
Author(s):  
Ho Yang ◽  
Navneet Basutkar ◽  
Peng Xue ◽  
Kyeongyeon Kim ◽  
Young-Hwan Park
Keyword(s):  
Dsp Processors

Novel Memory Reference Reduction Methods for FFT Implementations on DSP Processors

2007 ◽  
Vol 55 (5) ◽  
pp. 2338-2349 ◽  
Author(s):  
Yuke Wang ◽  
Yiyan Tang ◽  
Yingtao Jiang ◽  
Jin-Gyun Chung ◽  
Sang-Seob Song ◽  
...  
Keyword(s):  
Memory Reference ◽  
Reduction Methods ◽  
Dsp Processors
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