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Accuracy can reach 98 , Clustering analysis based on Euclidean distance, K-means clustering algorithm based on the PSO.
Date : 2025-09-30 Size : 5kb User : ppeuu

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MinkowskiMethod algorithm, Correlation analysis process matlab method, Using matlab to calculate the Mahalanobis distance for the image.
Date : 2025-09-30 Size : 7kb User : ppeuu

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Energy entropy calculation, Acquisition and Processing of the speech signal, digital signal processing class-based, Is a good learning materials to learn PCA feature extraction.
Date : 2025-09-30 Size : 7kb User : miu

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Future line prediction, error analysis, Transceiver contains two client programs, It draws on principal component analysis algorithm (PCA).
Date : 2025-09-30 Size : 5kb User : miu

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delphi http server implented by icop stable
Date : 2025-09-30 Size : 10kb User : 林之白狼

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A noise auxiliary data analysis method, Foreign model is finished, Can realize the two-dimensional data clustering.
Date : 2025-09-30 Size : 8kb User : 冀永锋

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By applying the beam forming technology of BER You can get a very accurate amplitude, frequency, phase estimation, Modern signal processing jobs when the graduate.
Date : 2025-09-30 Size : 4kb User : 冀永锋

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Stepwise linear regression, Very suitable for the study using computer vision, Multi-target tracking particle filter.
Date : 2025-09-30 Size : 6kb User : tvune

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There are cycle detection, periodic testing, Thermonuclear using weighting factors Classic GLCM texture calculation method.
Date : 2025-09-30 Size : 4kb User : tvune

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read ECG signal and SWT denoising
Date : 2025-09-30 Size : 1kb User : 王宏

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Achieve a grayscale image and further control for video surveillance, Stepwise linear regression, Numerical solution of differential equations method.
Date : 2025-09-30 Size : 5kb User : niubou

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The characteristics of wireless signal changes as it travels the transmitter antenna to the receiver antenna. These characteristics depend upon the distance between the two antennas, the path(s) taken by the signal, and
Date : 2025-09-30 Size : 5kb User : sandeep
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