Four-methods-for-power-spectrum

体数据的三角网格化,可用于三角网格简化与显示(Triangular grid for volume data)

说明：  新独立分量分析的算法，主要用于盲信号的分离计算(The newly independent component analysis algorithms, mainly for blind signal separation of the calculation)

说明：  利用Matlab仿真脉冲编码调制（PCM）及A律、μ律PCM对声音进行压缩编解码过程。 脉冲编码调制（PCM，Pulse Code Modulation）是一种将模拟语音信号转换成数字信号的编码方式。波形编码器的作用是对采样后的信号样本进行量化和编码。从数学上来看，量化过程就是把一个连续幅度值的无限数集合映射成一个离散幅度值的有限数集合，编码就是用一组二进制数来表示这些映射后的有限数。国际标准化的PCM采用折叠二进制码，符合长途电话质量。根据量化方法的不同，PCM可分为均匀量化PCM和对数PCM两大类，对数PCM中，2Aμ律和律编码都已被定为国际标准。(Matlab simulation using pulse code modulation (PCM) and the A law, μ law PCM codec for voice compression process. Pulse Code Modulation (PCM, Pulse Code Modulation) is an analog voice signal into digital signal encoding. The role of the encoder waveform is sampled signal sample quantization and coding. From the mathematical point of view, the process is to quantify the magnitude of the value of a continuous set of infinite number of maps into a finite number of discrete set of amplitude values​ ​ , encoding is to use a set of binary digits, said after a limited number of these maps. By folding the International Standardization of PCM binary code, in line with long-distance telephone quality. According to the different quantitative methods, PCM can be divided into uniform quantization PCM PCM and the number of two categories, on the number of PCM in, 2Aμ law and legal codes have been designated as international standards.)

KSVD稀疏表示matlab代码，有3个demo示例程序，可实现一维二维信号的稀疏表示。(K SVD sparse representation matlab code, there are three demo sample program can achieve one-dimensional two-dimensional signal sparse representation.)

文件包含现代控制理论中的一些控制程序，可供初期学习者使用，这些都是matlab中所没有的程序。(File contains a number of modern control theory control procedures for early learners, these are programs that are not in matlab.)

这是一个118节点的IEEE-118标准测试系统后感数据代码(This is a 118-node IEEE-118 standard test system, a sense of the data after the code)

matlab讲义，非常好的MATLAB入门资料 (matlab notes, very good introductory information on MATLAB)

一个用matlab来实现的最小均方误差的学习曲线，在不同u值下(Using matlab to achieve the minimum mean square error learning curve, different values ​ ​ of u )

to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expression for M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the execution now compare our special 8X8 functions with the internal general functions use this code: A = int32(100*rand(8,8)) tic for i = 1 : 1000 IDCT_8X8(DCT_8X8(A)) end toc tic for i = 1 : 1000 idct2(dct2(A)) end toc i had built the general functions too, but with low speed (to understand the Algorithm go to matlab help in page dct2 and idct2 to get the mathematical expressionfor M = N = 8, we can calculate the most of hard values and save it as LUTs to speed up the executionnow compare our special 8X8 functions with the internal general functionsuse this code: A = int32 (100* rand (8,8)) tic for i = 1: 1000 IDCT_8X8 (DCT_8X8 (A)) end toc tic for i = 1: 1000 idct2 (dct2 (A)) end toc i had built the general functions too, but with low speed)

matlab的入门资料，内容丰富而且包含所有例程。入门学习的好材料！包括绘图，插值，拟合，线性规划，最优问题等等(easy to learn matlab,include all m file)