MATLAB-sourcecode

spectrum sensing in cognitive radio

1. 构造含噪音的振动信号 faultysignal_with_noise， 2. 利用小波变换 Wavelet transform去噪，小波包 Wavelet packet transform 变换去噪， 3. 把两种去噪后的信号，分别用STFT ,FFT ,小波变换三种方法进行错误诊断(1. the vibration signal faultysignal_with_noise, which contains noise, is constructed. 2. using wavelet transform Wavelet transform denoising, wavelet packet Wavelet packet transform transform de-noising, 3. the two kinds of denoising signals are diagnosed by three methods, STFT, FFT and wavelet transform respectively.)

说明：  压缩感知（Compressed sensing），也被称为压缩采样(Compressive sampling)，稀疏采样(Sparse sampling)，压缩传感 [1] 。它作为一个新的采样理论，它通过开发信号的稀疏特性，在远小于Nyquist 采样率的条件下，用随机采样获取信号的离散样本，然后通过非线性重建算法完美的重建信号 [1] 。压缩感知理论一经提出，就引起学术界和工业界的广泛关注。(Compressed sensing (Compressed sensing), also known as compression sampling (Compressive from), Sparse sampling (Sparse from), Compressed sensing [1].As a new sampling theory, it develops the sparse characteristics of signals, obtains the discrete samples of signals with random sampling under the condition that the sampling rate is much lower than Nyquist sampling, and then perfectly reconstructs the signals through the nonlinear reconstruction algorithm [1].Once the theory of compressed sensing was put forward, it attracted extensive attention from academia and industry.)

说明：  蚁群算法解旅行商问题的MATLAB源码， 城市坐标可自行修改。(Ant Colony Algorithm for Traveling Salesman Problem Solutions MATLAB source code, city coordinates are free to modify.)

在matlab环境下实现视频水印的嵌入，要求视频未被压缩处理过。(Matlab environment in the realization of embedded video watermark, the requirements of video compression is not treated.)

这是基于傅里叶变化的压缩感知稀疏分解方法，使用的是匹配追踪算法，对初学者很有帮助(This is based on Fourier transform of compressed sensing sparse decomposition method, using the matching pursuit algorithm, useful for beginners)

Lab1 sur le filtrage pour la commande prédictive

基于多观测矢量的正交匹配追踪算法 正确估计信号的DOA(MMV bases on omp used to DOA)

维纳滤波，可以有效地滤除信号中的噪声,适应于某些工程(Wiener filtering.It can effectively filter the noise in the signal.Suitable for some projects)

将K均值算法用于图像分割,输入的是彩色图像,转换为灰度图像进行分割,输出结果为灰度图像.利用灰度做为特征对每个像素进行聚类,由于光照等原因,有时应该属于一个物体的像素,其灰度值也会有很大的差别,可能导致对该像素的聚类发生错误.在分割结果中,该物体表面会出现一些不同于其它像素的噪声点,因此,算法的最后,对结果进行一次中值滤波,以消除噪声,达到平滑图像的作用(The K means algorithm for image segmentation, the input is a color image, convert to grayscale image segmentation, the output of grayscale images. The use of gray as the characteristics of each pixel clustering, due to light and other reasons, and sometimes should belong to an object pixel, its gray value will also be very different, may lead to clustering of the pixel error has occurred. in the segmentation results, the surface, there would be different from other pixel noise points, so , the algorithm Finally, the results of a median filter to eliminate noise, to the role of smoothing the image)