dijkstra

this is code for nr method

基于谱减法的语音增强算法，谱相减法及其变形方法总体上运算量较小，容易实时实现，增强效果也较好，是目前最常用的一种方法(Spectral subtraction based speech enhancement algorithm, spectral subtraction method and the deformation of the whole volume of the smaller operations, easy real-time implementation, and enhance the results would be better, is the most commonly used in a way)

In this directory, we can find the eleven files. The relationship between file name and the number of program written in the book is shown in as follows.

optics 算法作为基于密度的聚类算法的一种重要的改进，十分有借鉴的意义。(Called algorithm for clustering algorithm based on density is an important improvement, very have reference significance.)

基于MFCC的语音识别仿真系统，文件中带有完成语音识别训练的源代码.(Simulation-based MFCC speech recognition system, the file with complete source code for speech recognition training.)

Non-Causal IIR Filter Part 1: Setting up the Input signal to the Wiener Filter Part 2: Seperating the negative lags and positive lags... The one at 0 index is clustered together in the positive part highqq

it is neural net work code

ensemble卡尔曼滤波模型，能很好的在matlab上运行，并有好的结果(ensemble Kalman filter model, can be a good run in matlab and have good results)

The Frequency Domain Decomposition (FDD) is an output-only system identification technique popular in civil engineering, in particular in structural health monitoring. As an output-only algorithm, it is useful when the input data is unknown. FDD is a modal analysis technique which generates a system realization using the frequency response given (multi-)output data

对原始图像在水平方向和垂直方向与2个滤波器(低通、高通)相卷积，可以得到4块面积为原图像1/4的子图，分别为水平方向低频和垂直方向低频(HH)、水平方向低频和垂直方向高频(HG)、水平方向高频和垂直方向低频(GH)、水平方向高频和垂直方向高频(GG)。(The original image in the horizontal direction and vertical direction and two filters (low pass, high pass) with convolution, you can get the original image area of 4 1/4 graph, respectively, horizontal and vertical direction low frequency ( HH), horizontal and vertical high-frequency low-frequency (HG), horizontal and vertical high-frequency low-frequency (GH), horizontal and vertical high-frequency high-frequency (GG).)