FastICA_algorithm

matlab/simumatlab/simulinkSfunctionC文件例子源码linkSfunmatlab/simulinkSfunctionC文件例子源码ctionC文件例子源码(matlab/simumatlab/simulinkSfunctionC examples of source documents linkSfunmatlab/simulinkSfunctionC paper documents examples of ctionC example source code)

在matlab中实现avi制作，在使用中千万不要终止程序，直到输出成功报告，程序自动停止(Avi made in matlab)

故障诊断matlab源代码，能够正确识别故障的类型(Fault diagnosis matlab source code, able to correctly identify the type of fault)

matlab开发环境，．编程实现二维DFT的变换，并与标准函数结果fft2进行比较，基本傅里叶、离散余弦变换，空域（完成两个程序） 增强噪声后再进行处理，利用标准函数，求图像阈值分割、边缘检测的基本使用（lena256.bmp，方法：graythresh、edge），求分水岭，利用标准函数dwt2、idwt2分解图像man_pic.jpg，基本 BP-BPbase1 (matlab development environment. Programming dimensional DFT transform, and with the standard functions compare results fft2 basic Fourier, discrete cosine transform, airspace (to complete the two programs) to enhance the noise and then processed using standard functions for image thresholding, edge Detection of basic use (lena256.bmp, method: graythresh, edge), seeking watershed, using a standard function dwt2, idwt2 decomposed image man_pic.jpg, basic BP-BPbase1)

A few examples of designing and implementing fir filters with Matlab-filtering a signal taken from the mic input of the soundcard and putting it on the headphones output chanel and removing noise from ECG.I m uploading this file just because I need to register to see another file and I haven t translated it in English but the code is understandable. If someone is interested e-mail me.

Matlab计算自回归滑动平均模型参数，自回归滑动模型(Matlab autoregressive moving average model parameters)

介绍了一种海洋环境模拟新方法，对海洋环境噪声的模拟简便准确(Introduces a new method of ocean environment simulation, simulation of ocean ambient noise simple and accurate)

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说明：  matpower 学习手册-----------(matpower manual-----------)

说明：  应用 FFT对信号进行频谱分析 1、在理论学习的基础上，通过本次实验，加深对快速傅里叶变换的理解，熟悉FFT 算法及 其程序的编写。 2、熟悉应用FFT 对典型信号进行频谱分析的方法。 3、了解应用 FFT 进行信号频谱分析过程中可能出现的问题，以便在实际中正确应用 FFT。 (Application of FFT spectrum analysis of signal 1, the theoretical foundation of learning, through this experiment, to deepen the understanding of the fast Fourier transform, familiar with the FFT algorithm and its procedures for the preparation. 2, familiar with the application of FFT on a typical signal spectrum analysis. 3, the understanding of application of FFT spectral analysis of signal problems that may arise in order to practice the correct application of FFT.)