[PDF] Top 20 A graph-based signal processing approach for low-rate energy disaggregation
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A graph-based signal processing approach for low-rate energy disaggregation
... sampling rate loads in the order of KHz and MHz (see [6], [7] and references therein) has been widely studied, NALM research at low sampling rates in the order of seconds and minutes is slowly picking up ... See full document
7
Blind non-intrusive appliance load monitoring using graph-based signal processing
... blind, low-rate NALM approach that does not require any ...The approach disaggregates any aggregate active power dataset without any prior ...on graph-based signal pro- ... See full document
5
Blind non-intrusive appliance load monitoring using graph-based signal processing
... Energy disaggregation, that is, identifying the individual appliance usage from the total, aggregate load, using purely data analytics, referred to as non-intrusive appliance load monitoring (NALM) [1], can ... See full document
5
Utilization of multi rate signal processing for GNSS SDR receivers
... FFT-based approach, is directly impacted by the oversampling factor which is used in the digital front-end (DFE) of the GNSS ...pled signal for the tracking ...utilizes low- complexity ... See full document
13
Low-complexity energy disaggregation using appliance load modelling
... and energy saving targets across the world have ignited renewed interest in residential non-intrusive appliance load monitoring (NALM), that is, disag- gregating total household’s energy consumption down to ... See full document
21
Networked Data Analytics: Network Comparison And Applied Graph Signal Processing
... of signal observations (ratings), recover the full signal under the assumption that the ratings are bandlimited in a particular spectral ...approaches based on NN and LF can be interpreted as ... See full document
258
A low-complexity energy disaggregation method : performance and robustness
... Conventional event-based NALM algorithms consist of four steps. First, signal pre-processing is carried out, usually via data cleaning and filtering. Then, event detection is performed to isolate ... See full document
8
Non-intrusive load disaggregation using graph signal processing
... different approach, developing a graph signal processing (GSP) method for steady-state NILM to address the large training overhead and associated complexity of conventional ... See full document
9
Transferability of neural networks approaches for low-rate energy disaggregation
... Energy disaggregation of appliances using non-intrusive load mon- itoring (NILM) represents a set of signal and information process- ing methods used for appliance-level information extraction out of ... See full document
6
Transferability of neural networks approaches for low-rate energy disaggregation
... DNN-HMM approach was used to rebuild the appliance signal but due to the difference in aggregate and sub- metered sampling rates in the REDD dataset, synthetic data was used exclusively in both papers by ... See full document
5
An evolutionary approach to preference disaggregation in a MURAME-based credit scoring problem
... evolutionary approach in order to infer the values of the parameters; nevertheless, unlike the above mentioned contributions, we consider multicrite- ria ranking problems and focus on preference ... See full document
21
Signal Processing for Radar-Based Gait Analysis
... Our findings are based on treadmill walking and the proposed framework has to be reevaluated for translational walking. Future studies should include more test subjects (possibly with gait disorders). We used one ... See full document
160
A Logic-Based Framework for Digital Signal Processing
... So far we have described how SWI-DSP provides a vocabulary of logic predicates and datatypes for performing audio analysis, but this aproach is still inappropi- ate for some tasks. We have organised the modules in ... See full document
14
A MUSIC-based method for SSVEP signal processing
... The feasibility of using MUSIC for multi-dimensional SSVEP signal processing were verified by both simulated data and real SSVEP data, and it can be seen in the section Results.. The det[r] ... See full document
14
Interactive web-based signal processing tutor
... Digital Signal Processing, or DSP [4], as the term suggests, is the study of signals in a digital representation and the processing of signals by digital ... See full document
171
Streamflow disaggregation: a nonlinear deterministic approach
... tic approach for streamflow disaggregation. According to this approach, the streamflow transformation process from one scale to another is treated as a nonlinear determinis- tic process, rather than ... See full document
10
Byzantine Music Intervals: An Experimental Signal Processing Approach
... Figure 5-a shows the amplitudes of the concatenated notes. Notice that the amplitudes where chosen not to be zero at any time. Also notice the amplitude change, a consequence of a real signal. This is because the ... See full document
97
LOW POWER AND AREA EFFICIENT MULTIPLIERS FOR DIGITAL SIGNAL PROCESSING
... Many processing applications command the computations of real numbers that aren‟t integers [4]. The computer processor can understand only binary language, so the real numbers, negative numbers, non-integer ... See full document
7
Performance analysis of multi rate signal processing digital filters on FPGA
... higher processing speed of the chip is of great ...high-speed signal processors, have been vigorously de- veloped and promoted, which is characterized by the use of digital or software to replace the analog ... See full document
9
Processing Metonymy a Domain Model Heuristic Graph Traversal Approach
... Processing Metonymy a Domain Model Heuristic Graph Traversal Approach P r o c e s s i n g M e t o n y m y a D o m a i n M o d e l H e u r i s t i c G r a p h T r a v e r s a l A p p r o a c h * J a c[.] ... See full document
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