SPBPackage

说明小波消噪的理论，阈值估算和提取，给出在MATLAB下阈值估算和消噪的函数，并在语音信号处理中增强语音。(Explain the theory of wavelet denoising, threshold estimation and extraction, are given in the MATLAB under the threshold estimation and de-noising function, and speech signal processing to enhance voice.)

Graphing without use of matrix multiplications

能够非常清楚的看出幅值和时间的变化规律，不用再画时、频图(Can very clear indication of the amplitude and the change of time rule，Don t draw, frequency chart)

This paper presents a new approach to image segmentation using Pillar K-means algorithm. This segmentation method includes a new mechanism for grouping the elements of high resolution images in order to improve accuracy and reduce the computation time. The system uses K-means for image segmentation optimized by the algorithm after Pillar. The Pillar algorithm considers the placement of pillars should be located as far from each other to resist the pressure distribution of a roof, as same as the number of centroids between the data distribution. This algorithm is able to optimize the K-means clustering for image segmentation in the aspects of accuracy and computation time. This algorithm distributes all initial centroids according to the maximum cumulative distance metric. This paper evaluates the proposed approach for image segmentation by comparing with K-means clustering algorithm and Gaussian mixture model and the participation of RGB, HSV, HSL and CIELAB color spaces.

Transformers simulink file in matlab

说明：  使用谢菲尔德大学遗传算法工具箱解决线性规划(Sheffield University using genetic algorithms to solve linear programming toolbox)

A new method of itertions for dictionary traning via KSVD

本段程序是在基于matlab开发环境下来进行语音信号滤波器的设计。实用性非常好。(The voice signal segment program is based filter design matlab development environment down. Practicality is very good.)

说明：  matlab 图像处理程序例子 供初学者参考(matlab image processing procedure example of reference for beginners)

PLS方法的多block设计脚本，参考文献 Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，(multi-block design Partial Least Squares (PLS) methods for neuroimaging: A tutorial and review，NeuroImg，2014，)