The Experts below are selected from a list of 111342 Experts worldwide ranked by ideXlab platform
Zhongtu Liu - One of the best experts on this subject based on the ideXlab platform.
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current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Liyi Li, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.
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Current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.
Sudeep D. Thepade - One of the best experts on this subject based on the ideXlab platform.
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Hadamard based Video Key Frame Extraction using Thepade's Transform Error Vector Rotation with Assorted Similarity Measures
International Journal of Computer Applications, 2015Co-Authors: Pritam H. Patil, Sudeep D. Thepade, Babita SonareAbstract:Video summarization is a method to reduce redundancy and generate succinct representation of the video data. In video summarization process, several frames containing similar information need to get processed, this leads to slower processing speed and higher complexity, consuming. More time Video summarization using key frames can ease the speed up of video processing. One of the mechanisms to generate video summaries is to extract key frames which represent the most important content of the video by identifying neard duplicate frames in video. In this paper, novel key frames extraction method is proposed with Thepade's Walsh Hademard Error Vector Rotation (THdEVR) with ten different codebook sizes and and assorted similarity measures. Experimentation done with help of the test bed of videos has shown that higher codebook sizes give better completeness in key frame extraction for video summarization. Experimental results are discussed for video content summarization with five assorted similarity measures like Euclidean Distance, Canberra Distance, Square-Chord Distance, Mean Square Error, Sorensen Distance with proposed THadVR. Keywordsframe, video summarization, Vector quantization, hademard
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Performance comparison of color spaces in Thepade's transform Error Vector rotation algorithms of Vector quantization for grayscale image colorization with Slant and Hartley transforms
2015 International Conference on Industrial Instrumentation and Control (ICIC), 2015Co-Authors: Sudeep D. Thepade, Padale Supriya, Atul PawarAbstract:The paper presents an effective monochrome image colorization technique using Thepade's transform Error Vector rotation algorithms with Slant and Hartley transforms in RGB, YIQ and YCbCr color spaces. Vector quantization is used to generate a color pallet which colors a target monochrome image. Two Error Vector sequences (Slant & Hartley) represented by binary numbers based on Slant and Hartley transforms are used in Thepade's transform Error Vector rotation algorithms. The proposed method works in two stages. In first stage color pallet is generated using the source (color) image from which color traits need to be taken using Thepade's transform Error Vector rotation algorithms and then colors are transferred to a target (monochrome) image using generated color pallet. The quality of colorization depends on the source color image chosen and the target monochrome image which is to be colored. As there are no objective criteria for qualitative analysis of the proposed method, here the grayscale version of original color image is recolored using proposed technique and as quality comparison criteria, the mean squared Error between original color image and recolored image is calculated. Five different codebook (color pallet) sizes give variations of proposed colorization method. Using recolorization of 15 different images, The experimental results show that higher color pallet sizes give better colorization in RGB and YIQ color space and lower color pallet sizes give better colorization in YCbCr color space.
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new clustering algorithm for Vector quantization using hybrid haar slant Error Vector
International Conference on Computing Communication Control and automation, 2015Co-Authors: Sudeep D. Thepade, Vandana MhaskeAbstract:Vector Quantization is an effective and simple method for lossy image compression. Codebook generation acts as important phase in Vector Quantization (VQ). The codebook is used to encode the image blocks for image compression. The codebook generation algorithm is generally preferred to have minimum distortion between the original image and obtained the reconstructed image. The paper presents an effective clustering algorithm to generate codebook for Vector quantization. In Kekre's Error Vector Rotation (KEVR) while splitting the cluster every time new orientation is introduced using Error Vector sequence. As this Error Vector sequence is binary representation of numbers, cluster orientation change slowly in every iteration. The Kekre's Error Vector Rotation using Walsh (KEVRW) uses Walsh sequence to rotate the Error Vector. Because of this cluster orientation change rapidly in every iteration. The proposed VQ codebook generation technique Thepade's Hybrid Haar Slant Error Vector Rotation (THHSlEVR) is based on KEVR algorithm. Here the Error Vector used for splitting the clusters in Vector Quantization is proposed to be prepared using discrete Slant transform matrix and Haar matrix. The proposed VQ codebook generation methodology is tested on different images for various codebook sizes. The obtained results show that proposed VQ codebook generation algorithm gives less MSE and less distortion as compared to KEVR, KEVRW indicating better image compression.
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Image compression using improvised column based Thepade's Cosine Error Vector Rotation (TCEVR) Codebook generation in Vector Quantization
2015 International Conference on Communication Information & Computing Technology (ICCICT), 2015Co-Authors: Sudeep D. Thepade, Lokesh S. KatoreAbstract:Image compression is inevitable now a days as multimedia based data is increasing at faster rate. Vector Quantization plays vital role in Codebook generation. Codebook is the soul of Vector Quantization. There are several methods to generate Codebook but the recent one is Thepade's Cosine Error Vector Rotation (TCEVR), which is proven better than others (KEVR, KEVRW, LBG). Paper proposes novel Column based Error Vector Rotation for TCEVR. The proposed column based improvisation in TCEVR is tested with a test bed of 18 images for image compression. Experimentation result show that the proposed TCEVR Codebook generation in VQ for Image compression is showing improvisation over earlier proposed Row based TCEVR. As observed from lower average Euclidean distance between the original and regenerated images for various Codebook sizes.
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Appraise of similarity measures in image compression using Vector quantization codebooks of Thepade's Cosine and Kekre's Error Vector Rotation
2015 International Conference on Pervasive Computing (ICPC), 2015Co-Authors: Sudeep D. Thepade, Ashish DevkarAbstract:Vector Quantization (VQ) is an efficient lossy image compression technique used in codebook generation. The selection of similarity measure for codebook generation affects the distortion between original and reconstructed image. This paper presents comparison of twelve assorted similarity measures for image compression using Kekre's Error Vector Rotation (KEVR) and Thepade's Cosine Error Vector Rotation (TCEVR)code book generation algorithm. The codebook of four different sizes 128, 256, 512 and 1024 are generated for 20 images using 12 different similarity measures. These similarity measures are chosen from five different families such as Minkowski, L 1 , Squared L 2 , Intersection and Fidelity. The images are reconstructed from respective codebooks and compared with original image with respect to Mean Square Error (MSE) and Peak Signal-to-Noise Ratio (PSNR). The results have shown that similarity measures belonging to SquaredL2and Fidelity family such as Squared, Euclidean and Square-Chord give lower MSE and higher PSNR values as compared to others. The TCEVR gives better compression over KEVR for all similarity measures except Fidelity family.
Junjie Hong - One of the best experts on this subject based on the ideXlab platform.
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current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Liyi Li, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.
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Current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.
Jingqi Wang - One of the best experts on this subject based on the ideXlab platform.
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Reducing Error Vector Magnitude of OFDM Signals Using Threshold Vector Circle Method
WSEAS Transactions on Signal Processing archive, 2017Co-Authors: Jingqi WangAbstract:The main disadvantage of Orthogonal Frequency Division Multiplexing (OFDM) signal is the high peak-to-average power ratio (PAPR) which influences the system power efficiency and system performance in the presence of nonlinearities within the high power amplifier (HPA). The Error Vector magnitude (EVM) is one of the performance metrics by communications standards in OFDM system. In this paper, a novel EVM reduction method from geometric angle analysis is proposed which keeps the bit-Error-rate (BER) performance after PAPR reduction. In our method, a threshold Vector circle is designed in frequency domain in order to adjust the amplitude and phase of the OFDM signal constellation points to near the ideal points. Simulation results show that PAPR of a QPSK modulated OFDM signal is reduced from 10.56dB to 7.496dB with an EVM reduction of 2.34%. This technique should vastly improve the performance of OFDM signal in communication system
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Reducing Error Vector magnitude of OFDM signals using threshold Vector circle method
Fourth International Conference on Wireless and Optical Communications, 2016Co-Authors: Jingqi Wang, Dong Wang, Chunlei ZhangAbstract:The main disadvantage of Orthogonal Frequency Division Multiplexing (OFDM) signal is the high peak-to-average power ratio (PAPR) which influences the system power efficiency and system performance in the presence of nonlinearities within the high power amplifier (HPA). The Error Vector magnitude (EVM) is one of the performance metrics by communications standards in OFDM system. In this paper, a novel PAPR reduction method from geometric angle analysis is proposed which keeps the EVM and bit-Error-rate (BER) performance. In our method, a threshold Vector circle is designed in frequency domain in order to adjust the amplitude and phase of the OFDM signal constellation points to near the ideal points. Simulation results show that PAPR of a QPSK modulated OFDM signal is reduced from 10.98dB to 7.502dB with an EVM reduction of 2.57%. This technique should vastly improve the performance of OFDM signal in communication system.
Zhijian Zong - One of the best experts on this subject based on the ideXlab platform.
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current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Liyi Li, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.
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Current Error Vector based prediction control of the section winding permanent magnet linear synchronous motor
Energy Conversion and Management, 2011Co-Authors: Junjie Hong, Zhijian Zong, Zhongtu LiuAbstract:Abstract To include features such as greater thrust density, higher efficiency without reducing the thrust stability, this paper proposes a section winding permanent magnet linear synchronous motor (SW-PMLSM), whose iron core is continuous, whereas winding is divided. The discrete system model of the motor is derived. With the definition of the current Error Vector and selection of the value function, the theory of the current Error Vector based prediction control (CEVPC) for the motor currents is explained clearly. According to the winding section feature, the motion region of the mover is divided into five zones, in which the implementation of the current predictive control method is proposed. Finally, the experimental platform is constructed and experiments are carried out. The results show: the current control effect has good dynamic response, and the thrust on the mover remains constant basically.