MUSIC_LIKE

改程序基于改进节点法（Modified Nodal Approach）与全矩阵技术在Matlab中实现线性电阻电路的符号分析。可以在GUI中描述待分析的电路结构、启动分析并直观的观察分析结果。在实现分析功能的同时，提供完整的编辑、输入保护以及数据保存功能。详细说明请见压缩包内文档。(Changed procedures to improve the node-based method (Modified Nodal Approach) with the full-matrix technology in Matlab to achieve linear resistance analysis of circuit symbols. GUI can be described in the circuit structure to be analyzed, start analysis and visual observation of the results of the analysis. Analysis function in the realization at the same time, provide a complete editing, input protection and data retention functionality.)

Very often I see people asking for a tool that offers more than 16 digits or so of accuracy. MATLAB itself only allows you to use doubles or singles in standard arithmetic, so that is the normal limit. The fact is, most of the time, if you can t do it with a double, you are doing something wrong. Good practices of numerical analysis are worth far more than any high precision tool. Even so, there are times when you will have a use for a bit of extra precision. And some of you will just want to play in the huge number sandbox. While some of you may use tools like that written by Ben Barrowes, HPF is written purely in MATLAB, so no compiles are needed. For all of you, whatever your reasons, I offer HPF, a High Precision Floating point tool.

该代码为基于PID神经网络的系统控制算法(The code for the system based on PID neural network control algorithm )

说明：  该程序为关于pcm编码和pcm解码的matlab实现(The program on the pcm coding and decoding matlab achieve pcm)

说明：  这个源代码实在matlab平台上绘制一个语音序列的语谱图，简单易懂，希望对大家有用！(This source code is a matlab platform voice rendering of the language spectrum sequence, easy-to-understand, useful for all of us hope!)

使用矢量量化的方法进行说话人识别，用matlab编写 (Vector quantization method using speech recognition, written with matlab)

largrange的matlab程序，和克里金法的相关介绍(the progress which is used to largrange interploation)

读写segy格式和su格式的数据文件,对于从事地震数据处理的同行们很有用途哦(read and write file in segy or su format )

this package provides the segmentation using k means algorithm

采用bp神经网络对函数y=sin（x）进行训练，然后用测试集对训练的函数进行测试，也就是函数逼近sin（x)的曲线(Bp neural network using the function y = sin (x) for training, and then use the test set to test the training function, that is, function approximation sin (x) curve)