fuzzy_TS_model

使用MATLAB自带的函数，实现了50Hz带阻滤波器，其中的参数可以修改，即可以实现任意频率的陷波器。(Achieved a 50Hz notch filter)

matlab编程实现-陈显毅 教材配套每一章节的代码(matlab realize)

1.录制一段自己的语音信号,对录制的信号进行采样 画出采样后语音信号的时域波形和频谱图 给定滤波器的性能指标,采matlab设计数字滤波器,并画出滤波器的频率响应 然后用自己设计的滤波器对采集的信号进行滤波,画出滤波后信号的时域波形和频谱,并对滤波前后的信号进行对比,分析信号的变化 回放语音信号。2.(1. Recorded his voice for some signal, the signal is sampled on the record draw sampled speech signal time-domain waveform and frequency spectrum performance for a given filter, mining matlab digital filter design, and draw the filter frequency response then use their own filters designed to filter the collected signals, to draw the filtered time domain waveform and frequency spectrum, and comparing the signal before and after filtering, analysis of signal changes playback of audio signals. 2.)

关于粒子滤波基本算法以及改进型的实例仿真，适合初学者对粒子滤波算法的学习(On the basic algorithm and improved particle filter instances of simulation, suitable for beginners to learn on the particle filter)

说明：  经验模态分解（Empirical Mode Decomposition，简称EMD))方法被认为是2000年来以傅立叶变换为基础的线性和稳态频谱分析的一个重大突破，该方法是依据数据自身的时间尺度特征来进行信号分解，无须预先设定任何基函数。这一点与建立在先验性的谐波基函数和小波基函数上的傅里叶分解与小波分解方法具有本质性的差别。(Empirical mode decomposition (EMD) method is considered as a major breakthrough in linear and steady-state spectrum analysis based on Fourier transform since 2000. This method decomposes signals according to the time scale characteristics of the data itself, without setting any basis function in advance. This is essentially different from Fourier decomposition and wavelet decomposition based on prior harmonic basis function and wavelet basis function.)

Genetic Algorithm with matlab

Introduction to Matlab: Basic Matlab Commands and Syntax for beginners and experts as well. enjoy

PCA MATLAB 实现人脸识别的程序 (PCA MATLAB realize face recognition process)

matlab图像去噪经典算法实现 00000000000000000000000(classical image denoising algorithm matlab 00000000000000000000000)

无监督神经网络利用matlab能够有效的实现图像化，还能得到最有结果(Unsupervised neural network using matlab can effectively realize the image of, but also get the most results)