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Reverse cloud model algorithm
Update : 2025-02-08 Size : 377kb Publisher : monologueee

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A reference source code of Stanford University machine learning course. It can run directly. Aided learning. For reference only.
Update : 2025-02-08 Size : 41kb Publisher : laridzhang

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A Simulation for A simple and Efficient Estimator for Hyperbolic Location
Update : 2025-02-08 Size : 24kb Publisher : 福尔摩熙

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This is an ordinary indoor positioning KNN algorithm
Update : 2025-02-08 Size : 11kb Publisher : 浮士德play

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matlab realize of ISOMAP
Update : 2025-02-08 Size : 4kb Publisher : wwx99

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(A system of License Plate Recognition.It has character template and text picture.)
Update : 2025-02-08 Size : 4kb Publisher : mlgbzz

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extended kalman filter for SOC estimation
Update : 2025-02-08 Size : 1kb Publisher : 酷哈

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WAVEFAST Perform multi-level 2-dimensional fast wavelet transform. [C, L] = WAVE FAST (X , N, LP, HP) performs a 20 N-level FWT of image (or matrix) X with respect to decomposition filters LP and HP. [C, L] = WAVEFAST(X,
Update : 2025-02-08 Size : 3kb Publisher : Hoang Cuong

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Depending on TYPE, you can specify additional parameters to IMNOISE. All numerical parameters are normalized; they correspond to operations with images with intensities ranging from 0 to 1.
Update : 2025-02-08 Size : 7kb Publisher : Hoang Cuong

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J = imnoise(I,'localvar',IMAGE_INTENSITY,VAR) adds zero-mean, Gaussian noise to an image, I, where the local variance of the noise is a function of the image intensity values in I. IMAGE_INTENSITY and VAR are vectors of
Update : 2025-02-08 Size : 2kb Publisher : Hoang Cuong

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adds zero-mean, Gaussian noise to an image, I, where the local variance of the noise is a function of the image intensity values in I. IMAGE_INTENSITY and VAR are vectors of the same size, and PLOT(IMAGE_INTENSITY,VAR) p
Update : 2025-02-08 Size : 1kb Publisher : Hoang Cuong

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A design example containing a IIR filter and an FIR filter
Update : 2025-02-08 Size : 1kb Publisher : HilyZ
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