01948596ClassificationA

方便初学者！插值与拟合的matlab实现！ 可方便同学做课设！(Easy for beginners! Interpolation and fitting matlab realize! Classes students can be easily set up to do!)

matlab程序：利用小波变换实现图像的变换和反变换(matlab program: using wavelet transform image transform and inverse transform)

P0301：数字图像矩阵数据的显示及其傅立叶变换 P0302：二维离散余弦变换的图像压缩 P0303：采用灰度变换的方法增强图像的对比度 P0304：直方图均匀化 P0305：模拟图像受高斯白噪声和椒盐噪声的影响 P0306：采用二维中值滤波函数medfilt2对受椒盐噪声干扰的图像滤波 P0307：采用MATLAB中的函数filter2对受噪声干扰的图像进行均值滤波 P0308：图像的自适应魏纳滤波 P0309：运用5种不同的梯度增强法进行图像锐化 P0310：图像的高通滤波和掩模处理 P0311：利用巴特沃斯（Butterworth）低通滤波器对受噪声干扰的图像进行平滑处理 P0312：利用巴特沃斯（Butterworth）高通滤波器对图像进行锐化处理(P0301 : digital image data matrix display and Fourier Transform P0302 : Two-dimensional discrete cosine transform image compression P0303 : Gray used a new method to enhance the contrast of the image P0304 : histogram equalization P0305 : Simulation images by white Gaussian noise and Impulse noise impact P0306 : 2D median filtering function medfilt2 right by the Salt and Pepper image noise filtering P0307 : MATLAB filter2 the function of noise interference by the image filtering P0308 : Image Adaptive Filter Weiner P0309 : use five different gradient Enhancement Act for image sharpening P0310 : Images of the high-pass filtering and mask handling P0311 : use Butterworth (Butterworth) low-pass filter to noise interference by the image smoothing P 0312 : Butterworth (Butterworth) high-pass fi)

hausdorff distance 的matlab函数(hausdorff distance （matlab function）)

通信工程专业的研究生学位课 随即信号处理课程实验 有关滤波器的设计 有源码(Communication Engineering graduate degree course immediately signal processing course experiment about filter design with source code)

1. m-file lpc2cep: Convert the LPC a coefficients in each column of lpcas into frames of cepstra. 2. m-file lpc2spec:Convert LPC coeffs back into spectra

implementing fuzzy system learning procedure in matlab

说明：  多路信号采样，时分复用传输和接收SIMULINK仿真模型(Multi-channel signal sampling, time division multiplex transmit and receive SIMULINK simulation model)

说明：  卡尔曼滤波器，可以对所得到的数据进行平滑，matlab源码(Kalman filter can be obtained by smoothing the data, matlab source)

基于popov超稳定性的模型参考自适应控制matlab仿真(popov)