YuXia-8A

用于多径直扩信号的仿真程序，对于研究直扩信号的人很有帮助。(Simulation program for multi-straight SS signals for the DS signal is helpful.)

基于直方图的均衡化和规 定化处理的图像增强技术基本原理,给出了相关推导公式和算法 同时,以一个灰度图像为例,用MATLAB 语言实现了直 方图均衡化和规定化增强处理(Based on histogram equalization and processing requirements of the basic principles of image enhancement technology, gives the derivation of formulas and algorithms related the same time, a grayscale image, for example, using MATLAB language to implement the provisions of histogram equalization and enhancement)

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)

功能为neighborhood components analysis，a quick matlab implementation of NCA (see Goldberger et al, NIPS04). (err)

matlab的opt直线函数程序。对坐直线运动时的成像质量可以得到opt评价。(Matlab opt linear function procedures. Sit straight movement of the imaging quality can be opt evaluation.)

PID控制算法简单、鲁棒性强，但其参数整定过程繁琐，整定时需要控制对象的精确数学模型，而且整定往往是针对某一种具体工况进行的，缺乏自学习和自适应能力。模糊神经网络则兼备了模糊逻辑和神经网络的优点，具有函数逼近功能，具有较强的自适应、自学习能力、容错能力和泛化能力。借助于遗传算法对全局性参数进行优化设计，借助于BP算法对局部性参数进行优化，将模糊神经网络和遗传算法引入PID控制参数的整定过程，构造出一种基于模糊神经网络和遗传算法的智能PID控制器(Intelligent controller based on fuzzy neural network and genetic algorithm)

里面包含两个程序，利用这两个程序你实现对于其他程序的处理。非常实用(Which contains two procedures, the use of these two procedures you implement other programs for processing. Very practical)

Matlab部分经典教程，实例以及有关Matlab的GUI设计(Matlab GUI part classic design tutorials, examples and relevant Matlab' s)

Image Segmentation Simplified

DTMF goertzel function, it is really helpful for other beginners who want to do the DTMF