matlab

说明：  变换域的数字图像水印技术及图像质量评价研究(Study of digital image watermarking in frequency domain and image quality evaluation )

该算法完整地描述了小波神经网络对交通流预测的过程(The algorithm is a complete description of wavelet neural network in forecasting of traffic flow process)

SC-FDMA性能分析，及与FDMA误码率比较(SC-FDMA performance analysis, and compared with FDMA for BER)

使用高阶累积量对MPSK信号进行调制识别，包括随机梯度算法，相对梯度算法，包括最小二乘法、SVM、神经网络、1_k近邻法。( Using high-order cumulants of MPSK signal modulation recognition, Including stochastic gradient algorithm, the relative gradient algorithm, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.)

To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their histograms. (To develop functional modules to process grayscale image intensity data. And perform Point and spatial operations. Uses Prewitt, Sobel, and Laplacian of Guassian Methods. And calculates their histograms.)

EFG METHOD FOR STUDYING, AND THIS CAN SOLVE 3D PROBLEM

一个MATLAB的课件提纲，对初学者应该有一点帮助(A MATLAB courseware outline, there should be some help for beginners)

车牌字符识别matlab源程序车牌字符识别matlab源程序车牌字符识别matlab源程序(The license plate character recognition matlab source code license plate character recognition matlab source code license plate character recognition matlab source code)

k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.

张德丰matlab小波分析源代码，从信号时-频联合分析引入小波变换，将信号的多分辨率分析及Mallat算法作为全书的重点，并在此基础上，进一步阐述了双正交小波多分辨率分析、小波包多分辨率分析、提升小波应用，还讲述了小波分析在奇异性检测、去噪及数据压缩中的应用。(Zhang Defeng Matlab wavelet analysis of the source code from the signal- frequency joint analysis of the introduction of wavelet transform, multi-resolution analysis of the signal and Mallat algorithm as the focus of the book, and on this basis, further elaborated biorthogonal wavelet multi-resolution analysis wavelet packet multi-resolution analysis, the lifting wavelet applications, but also about the application of wavelet analysis in the singularity detection, de-noising and data compression.)