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对于BIHT算法的改进算法，效果较BIHT算法更好(For the improved algorithm of BIHT algorithm, the effect is better than that of BIHT algorithm.)

这是篇关于matlab环境下的数字滤波器的论文，MATLAB在数字滤波器设计中的应用(This is a chapter on the environment matlab digital filter paper, MATLAB in Digital Filter Design Application)

卡尔曼滤波跟踪算法,这个是航迹产生的程序(Kalman filtering algorithm, this is the track procedures)

MATLAB code to Apply DCT on the image and obtain the output and On the DCT image apply quantisation using standard quantizer

普通（硬）－ 均值聚类（HCM）算法是经典的硬聚类算法之一，能够对超椭球状的 数据进行分类(Ordinary (hard)- means clustering (HCM) algorithm is one of the classic hard-clustering algorithm, super-ellipsoid can sort the data)

最小熵解卷积（MED），是一种自适应滤波器设计方法，可以提取冲击成分(Minimum entropy deconvolution (MED), is an adaptive filter design method that can extract the impact of component)

实现用LMS算法进行自适应滤波的仿真，基于GUI实现(Implementation using LMS algorithm for the simulation of adaptive filter, based on the GUI implementation )

很全的matlabGUI设计例程，包括下拉菜单设计，选择设计等。(Very and full of matlabGUI design routines, including the drop-down menu design, selection and design.)

盲源分离（BSS: Blind Source Separation），又称为盲信号分离，是指在信号的理论模型和源信号无法精确获知的情况下，如何从混迭信号（观测信号）中分离出各源信号的过程。盲源分离和盲辨识是盲信号处理的两大类型。盲源分离的目的是求得源信号的最佳估计，盲辨识的目的是求得传输通道混合矩阵。(Blind signal separation (BSS), also known as blind source separation, is the separation of a set of source signals from a set of mixed signals, without the aid of information (or with very little information) about the source signals or the mixing process. This problem is in general highly underdetermined, but useful solutions can be derived under a surprising variety of conditions. Much of the early literature in this field focuses on the separation of temporal signals such as audio. However, blind signal separation is now routinely performed on multidimensional data, such as images and tensors, which may involve no time dimension whatsoever.)

实现daM法，基本实现了智能计算，但也有很多不完善的地方，请多多指教，我是初学者(The realization daM method)