▍1. Signal_processing_with_wavelets
Signal processing with wavelets You can do the same thing with 1D signals
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▍2. Quincunx_wavelet_transforms
Quincunx wavelet transforms Quincunx wavelets are non-separable transform that allows to avoid using vertical/horizontal wavelets. The scaling grows like 2^{j/2} with the scale j instead of 2^j, which can be advantageous. Biorthogonal quincunx wavelets are implemented using a simple wrapper to the code of Dimitri Van De Ville. Redundant, translation invariant transform are implemented with the lifting scheme.
▍3. Multiscale_texture_synthesis
Multiscale texture synthesis The Heeger and Bergen SIGGRAPH 95 synthesis algorihtm computes a new texture by matching the histogram of a steerable transform (starting from an initial random noise). It works well for cloud-like texture, and fail to synthesize geometric features.
▍4. Linear_and_non
Linear and non-linear approximation with wavelets Linear approximation is obtained by keeping M low frequency coefficients and then applying the inverse wavelet transform. Here we take M=n^2/4 by keeping n/2 x n/2 low frequency coefficients. Linear approximation is obtained by keeping M=n^2/4 best coefficients, that are the M largest amplitude coefficients. We can now compute the approximation error and display both the coefficients and the resulting images. The non-linear approximation is usually much better for images that contains edges because linear approximation blurs features (it is non-adaptive).
▍5. Image_denoising_with_wavelet
Image denoising with wavelet We first load an image, and add some noise to it The orthogonal wavelet transform is not very efficient for image denoising because it lacks translation invariance. This is why there is so many reconstruction artifact in the previous denoising experiments. Translation invariant wavelet transform reduces these effect by increasing the redundancy of the wavelet transform. It thus requires more time to perform the denoising.
▍6. thesis2
a PF thesis that implemented on human tracking . in this thesis , auther compare the PF and kalman filtering,
▍7. 15auz86i
关于说明MATLAB中SIMULINK仿真的基本操作和流程(On SIMULINK of MATLAB simulation that the basic operations and processes)
▍8. spectrum_analysis_with_FFT
使用MATLAB实现对信号的fft变换从而进行频谱分析(The use of MATLAB to achieve transformation of the signal in order to carry out the fft spectrum analysis)
▍11. controller
网络控制器的文章，主要应用场合为工控行业，希望对大家有用(Network controller of the article, the main applications for the industrial sector, in the hope that useful)
▍12. Matlab6.0
有关matlab的使用教程，新手可以下下来看看(Relating to the use of matlab tutorials, and newcomers can look down under)
▍14. Matlab-basic
matlab的基本材料，很好的内容,可作为基本的起步材料(matlab basic materials, very good content)
▍15. matlab-calculation
matlab数值计算，包括解方程，求极值，微分，统计，拟合和插值等函数。(matlab numerical calculation, including the solution of equations, and extreme, differential, statistics, such as function fitting and interpolation.)
▍16. MasterMATLAB_Polynomial_Interpolation
Matlab的多项式,插值，样条函数 word 版本(MATLAB Polynomial Interpolation And Spline)
▍17. Fussy_mathematicsVariational_methodMatlab
模糊数学+变分法+Matlab基础教程 word版本(Fussy mathematics,variation method and Fundamental Matlab)
▍18. MATLABMATHCompleteEdition
MATLAB 数学手册完整版 很实用,是word版本(MATLAB Mathmatical Guide Complete version )
▍19. MATLABTUTORIAL
Matlab tutorial for a university - Croatian language(Matlab tutorial for a university- Croatian language)
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