Matlab-Functions-for-Mie-Scattering

用双谱和小波变换去除信号中加性高斯噪声的相关程序 1.实现单个变量的双谱分析程序 2.用傅立叶反变换求自相关函数的程序 3.用fft求取喜好频谱、功率谱、均方根谱、对数谱的程序 4.读取.wav语音信号后用小波去加信白噪声的程序 5.用各种小波和阀值对同一信号去加性噪声效果比较的程序 (Double-spectral and wavelet transform to remove the signal plus Gaussian noise procedures 1. To achieve a single variable pairs of spectral analysis procedures 2. Using Fourier inverse transform procedures for seeking self-correlation function 3. To strike a preference to use fft spectrum , power spectrum, RMS spectrum, several spectra of the procedure 4. read. wav audio signal with wavelet plus a letter to the white noise process 5. with a variety of wavelet and threshold on the same signal to additive noise Comparison program)

说明：  程序利用图像处理的一般办法，使用MATLAB将图像中的椭圆提取(Procedures using the general approach of image processing, using MATLAB to extract the image of the ellipse)

对声音信号的时域分析频域分析采样并显示时域分析结果，还有录音并显示(Time-domain analysis of the sound signal frequency domain analysis of the sample and displays the time domain analysis, as well as recording and display)

ITD进行模态识别，得到模态参数,ITD 法是一种单输入多输出、基于包含系统参数的自由振动方程识别结构参数的方法，(ITD modal identification, get the modal parameters.ITD method is a single-input multiple-output, based on the structure of the free vibration equation parameters include system identification method parameters,)

matlab ppm调制的系统仿真，测试误码率等，用高斯信道来实现。(matlab ppm modulation system simulation, testing, error rate, with Gaussian channel to achieve.)

this code extract the ellipse from noisy image by morphology method

说明：  核极限学习机是一种单隐层前馈神经网络(the single-hidden layer feedforward neural networks,SLFNs),其只需要设置隐藏层节点数,然后采用最小二乘法计算出权值即可。因此,核极限学习机在学习速度和泛化能力上具有很大优势。(Kernel limit learning machine is a single hidden layer feedforward neural networks (slfns). It only needs to set the number of hidden layer nodes, and then use the least square method to calculate the weight. Therefore, the kernel limited learning machine has a great advantage in learning speed and generalization ability.)

matlab冈萨雷斯答案： 里面是最全的答案，所有习题都有(Gonzalez matlab answer: it is the whole answer, all exercises are)

saleh无记忆功率放大器模型matlab仿真

使用matlab编写的PSO算法，求解函数最优值(using matlab to realize particle swarm optimization algorithm for optimization)