PBGBand2

This a ddk filter sample for keyboard

这是一个编写matlab高效代码的指南，在编程上可供参考。(This is a document of writing efficient matlab program,it s worth being refered to when you write program.)

编写matlab的gui函数进行处理的代码，基本上包括处理里面的最基本处理，比如读取文件，几何变换中的垂直镜像，平移，旋转，缩放；正交变换的DFT，FFT，hMdQaa，DWashT；灰度处理中的反色，直方图均衡，全局线性变换，分段线性变换，指数非线性变换，对数非线性变换；增强里面的加噪声，YUoocRN方法，锐化，伪彩色增强；分割里面的灰度阈值法，调试可以运行的。 (Write the gui matlab image processing function code, basically including the most basic image processing inside the process, such as reading the file, the geometric transformation of the vertical mirroring, translation, rotation, scaling orthogonal transformation DFT, FFT, hMdQaa , DWashT anti-gray color processing, histogram equalization, global linear transformation, piecewise linear transformation, a nonlinear transformation index, the number of non-linear transform image enhancement which increases the noise,YUoocRN method, sharpening, pseudo-color enhancement image segmentation inside the gray threshold, debugging can run. )

有许多prony算法的参考程序，省的再去到处找了，对于初学者有很大的帮助。(There are many Prony algorithm reference program, the province to find everywhere, for beginners have a great help.)

this folder contain implemetation of three classifier in matlab

实现基于贝叶斯阈值的小波图像去噪算法，相比较其它的小波去噪算法而言，去噪效果非常好。(Wavelet image denoising based on Bayesian threshold, compared with other wavelet denoising algorithm, the de-noising effect is very good.)

组合算法 Matlab中有函数nchoosek，它是返回全部可能的给合数，本例是一个个地产生组合(Combination algorithm In Matlab function nchoosek, it is possible to return all composite numbers in a matrix, in this case is a combination of one to generate)

对初学者来说，泛函分析很难搞懂。这份资料就是关于泛函分析的，里面详细讲了泛函的来龙去脉。(For beginners, it is difficult to understand the functional analysis. This information is about the functional analysis, which details about the functional sequence of events.)

说明：  D_S证据理论在战术态势估计技术中的应用assessment Technique(D_S evidence theory in tactical situation assessment Technique)

压缩感知的很简单的入门小例子，基矩阵为正弦基，能很好地重构出稀疏信号(A simple example for the introduction of CS theory, the basis matrix is sinosoidal matrix, which can fully reconstruct the sparse signal.)