Design of optimum multi-dimensional energy compaction filters

Author(s):  
N. Damera-Venkata ◽  
J. Tuqan ◽  
B.L. Evans
Keyword(s):  
2020 ◽  
Vol 22 (4) ◽  
pp. 860-873 ◽  
Author(s):  
Zhengxue Cheng ◽  
Heming Sun ◽  
Masaru Takeuchi ◽  
Jiro Katto

2015 ◽  
Vol 2015 ◽  
pp. 1-7
Author(s):  
Shilpi Gupta ◽  
Upena Dalal ◽  
Vishnu Narayan Mishra

In orthogonal frequency division multiplexing (OFDM) system, the existence of frequency offset in AWGN channel affects the orthogonality among the subcarriers and consequently introduces the intercarrier interference (ICI). The paper investigates new ICI self-cancellation technique to mitigate the effect of ICI in FFT-OFDM and compares it to DCT based OFDM system in terms of bit error rate (BER) and carrier to interference ratio (CIR). The proposed method for group size three results in a significant 20 dB improved CIR in FFT-OFDM. In terms of BER, proposed ICI self-cancellation technique outperforms the other self-cancellation techniques in FFT-OFDM. Also, this paper investigates outperforming BER and CIR improvement by using DCT-OFDM without applying self-cancellation techniques, due to its energy compaction property.


Author(s):  
H. B. Kekre ◽  
Rekha Vig ◽  
Saurabh Bisani ◽  
Tanuja Sarode ◽  
Pranay Arya ◽  
...  
Keyword(s):  

2010 ◽  
Vol 20 (4) ◽  
pp. 417-433 ◽  
Author(s):  
Jan Stolarek

Improving energy compaction of a wavelet transform using genetic algorithm and fast neural networkIn this paper a new method for adaptive synthesis of a smooth orthogonal wavelet, using fast neural network and genetic algorithm, is introduced. Orthogonal lattice structure is presented. A new method of supervised training of fast neural network is introduced to synthesize a wavelet with desired energy distribution between output signals from low-pass and high-pass filters on subsequent levels of a Discrete Wavelet Transform. Genetic algorithm is proposed as a global optimization method for defined objective function, while neural network is used as a local optimization method to further improve the result. Proposed approach is tested by synthesizing wavelets with expected energy distribution between low- and high-pass filters. Energy compaction of proposed method and Daubechies wavelets is compared. Tests are performed using image signals.


2014 ◽  
Vol 567 ◽  
pp. 422-427
Author(s):  
Yasreen G. Suliman ◽  
Napiah Madzlan ◽  
Ibrahim Kamaruddin ◽  
Johnson A. Olufemi

Aggregate packing mechanism and its properties are always significant in the compaction, density and consequential strength and resistance of the bituminous mixture. Realizing that aggregate interlocking contributes to the strength, the packing of aggregate would increase the force of intact between aggregates. This work is focused on improving the compaction energy, engineering properties and rutting resistance of bituminous mixture by using the aggregate packing concept. After obtaining the optimum proportions for developed mixture via packing test, hot-mix asphalt samples are prepared and compacted with 50 and 75 blows, while well graded hot-mix asphalt samples are compacted with 75 blows. The Marshall Test result showed that developed mixture at lower compaction energy meets all the requirements of asphaltic concrete for heavy traffic and also exhibit higher density, stability, and lower air voids and voids in mineral aggregate compared to the well graded mixture. Developed mixture also demonstrated higher mixture stiffness and lower rut depth compared to the well graded one. This is due to the optimal distribution of the various aggregates sizes of developed mixture, which gives the interlocking necessary and stone to stone contact to improve the mixture density, stiffness and rutting resistance.


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