cagbilnd

压缩包包含4个天线选择算法的仿真，最佳选择，范数选择，递增选择和递减选择(Compressed package includes four antenna selection algorithm simulation, the best choice, norm selection, increasing choice and decreasing options)

说明：  本文提出一种在原始视频DCT(离散余弦变换)与SVD(奇异值分解)域自适应嵌入水印的算法。算法首先将视频流分割成一个个场景,场景中的视频图像被变换到DCT-SVD域中,水印量化嵌入在最大奇异上,实现了水印盲检测。同时实验证明该算法在满足透明性要求下也满足一定的鲁棒性要求,能够抵抗低通滤波、中值滤波、椒盐噪声、高斯噪声、H.264压缩攻击以及统计攻击和帧剪切等攻击。(This paper presents an original video in the DCT (Discrete Cosine Transform) and SVD (singular value decomposition) algorithm for adaptive watermark embedding. Firstly, a video stream is divided into scenes, scenes of the video image is converted to the DCT-SVD domain, the watermark embedded in the largest singular quantification, the realization of the watermark signal. Furthermore, the experiments show that the algorithm meet the transparency requirements are met under certain robustness requirements, can resist the low-pass filtering, median filtering, salt and pepper noise, Gaussian noise, H.264 compression attacks and attacks and frame shear statistics attack.)

非线性方程组MATLAB求解的程序,希望能够成功上传，谢谢(Solving nonlinear equations MATLAB program)

face recognition PCA

计算AR模型的参数，包括滤波、去趋势化、AIC判断阶数、计算AR模型系数。(Calculation AR model parameters, including filtering, detrended, AIC judgment order to calculate the AR model coefficients.)

小波谱分析mallat算法经典程序，对原始信号进行低高频的信号分解以及重构，并且进行对比分析。(Algorithm for spectral analysis mallat small classic procedure, the original signal with low frequency signal decomposition and reconstruction, and compared.)

基于matlab的语音处理程序,可实现经过各种滤波器后的频谱图,幅度图等.(Matlab-based voice processing procedures, can be realized through a variety of filters after the frequency spectrum, range maps.)

利用自抗扰控制器理论，提出了一种新颖的永磁同步电动机无位置传感器矢量控制系统 的转速估计方法。(A novel speed estimation approach to sensorless vector control of Permanent Magnet Synchronous Motor (PMSM) based on Active Disturbance Rejection Controller (ADRC) was proposed. )

Color can provide an efficient visual feature for tracking nonrigid objects in real-time. However, the color of an object can vary over time dependent on the illumination, the visual angle and the camera parameters. To handle these appearance changes a color-based target model must be adapted during temporally stable image observations. This paper presents the integration of color distributions into particle filtering and shows how these distributions can be adapted over time. A particle filter tracks several hypotheses simultaneously and weights them according to their similarity to the target model. As similarity measure between two color distributions the popular Bhattacharyya coefficient is applied. In order to update the target model to slowly varying image conditions, frames where the object is occluded or too noisy must be discarded.

通过fir1设计FIR滤波器，fir2设计任意频率响应的滤波器，采用卷积计算信号通过系统后响应（还原），采用fftfilt计算信号通过系统后响应，一个长序列和一个短序列的卷积。(Fir1 through FIR filter design, fir2 design the frequency response of any filter, the use of convolution calculation of the signal through the system to respond to (restore), calculated using fftfilt signal through the system to respond to, a long sequence and a short sequence of convolution.)