Autocorrelation_function

here is the matlab files for image array processing

最优化方法，作业，包括BFGS，SUMT惩罚函数法等(Optimization)

This demo introduces Matched Filter in CDMA system schemes wherein the data stream is subdivided into independent sub-streams, one for each transmit antenna employed. As a consequence, they provide a multiplexing gain and do not require explicit orthogonalization as needed for space-time block coding.

Mask2.0墨客vip无后门版本 Mask2.0 calligraphers VIP version without the back door (Mask2.0 calligraphers VIP version without the back door )

说明：  振幅与相位估计，APES算法，非参数功率谱估计算法，很有效经典。在雷达信号处理、通信信号处理里都有大量应用(Power spectrum estimation algorithm, very effective classic)

文件给出了运动失真或噪声干扰的图像恢复修复源代码(Documents given movement distortion or noise source image restoration repair)

详细的unscented particle filter 程序(Unscented particle filter detailed procedures)

this file explain how to implement LMS EQUALIZER in matlab with different noisy channel environment.

图象处理：计算连通域的面积、周长、圆形度、矩形度以及长宽比(Image processing: computing connected domain area, perimeter, roundness, and aspect ratio rectangular degree)

MUSIC算法[1] 是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。MUSIC算法就是利用这两个互补空间之间的正交特性来估计空间信号的方位。噪声子空间的所有向量被用来构造谱，所有空间方位谱中的峰值位置对应信号的来波方位。MUSIC算法大大提高了测向分辨率，同时适应于任意形状的天线阵列，但是原型MUSIC算法要求来波信号是不相干的。(algorithm MUSIC is a method based on matrix feature space decomposition. From a geometric point of view, the signal processing of the observation space can be decomposed into signal subspace and noise subspace, it is clear that these two spaces are orthogonal. Signal subspace by the array received data covariance matrix and signal corresponding to the feature vector and noise subspace is by the covariance matrix of all minimum feature values (noise variance) corresponding to the feature vectors are composed. MUSIC algorithm is to use the orthogonal characteristics of these two complementary space to estimate the azimuth of spatial signals. All vectors of the noise subspace are used to construct spectral, and the peak position in all spatial azimuth spectra correspond to the direction of arrival of the signal. MUSIC algorithm greatly improves the direction finding resolution, and at the same time it is suitable for the antenna array of any shape, but the prototype MUSIC algorithm requir)