matlabBP

MATLAB的一些实用程序，很有帮助的哦！对于新手来说是很好的参考资料！(MATLAB some utilities, helpful Oh! For the novice is a very good reference!)

MATLAB神经网络功能的使用教程，详细介绍了神经网络技术的功能、原理及编程(The use of MATLAB neural network function tutorial, neural network technology was introduced in detail the function, principle and programming)

能使桌面上不停的换色.请先生成EXE再运行不然会出错。(Enable non-stop for the desktop color. Please re-run the EXE generated will not go wrong.)

数字信号处理——基于计算机的方法（第三版），内含各种算法及实例(Digital signal processing-- a computer based approach ( Third Edition ), containing a variety of algorithms and examples)

cmac+code matlab cmac

MUSIC算法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。(MUSIC algorithm is a matrix decomposition method based on feature space. From the geometric point of view, the observed spatial signal processing can be decomposed into signal subspace and noise subspace, it is clear that the two spaces are orthogonal. The signal received by the array to the subspace of the covariance matrix of the signal component corresponding eigenvectors, the noise subspace of the covariance matrix of all by the smallest eigenvalue (noise variance) eigenvectors corresponding to the composition. MUSIC algorithm is the use of orthogonal properties between these two complementary space to estimate the spatial orientation of the signal. Noise subspace of all vectors are used to construct the spectrum, all the spatial orientation of the spectrum corresponding to the peak position of the signal wave direction. MUSIC algorithm greatly improves the resolution measurements, while the antenna array adapted to any shape, but the prototype MUSIC algorithm requires to wave sign)

说明：  一篇关于SVM和adaboost算法对比的文章。分别运用两种方法进行目标识别，比较算法与结果(A comparison on the SVM algorithm and adaboost article. Two methods were used for target identification, comparison algorithm and results)

node 例子，帮助初学者了解使用 node 环境编程(node test model)

经典多重分类信号处理算法MUSIC的仿真编程(Classical MUSIC of the multiple signal classification algorithm simulation programming)

针对高斯白噪声中二元确知信号，仿真信号检测过程，分析检测门限、噪声的方差及取样间隔对检测的影响检测。(For binary Gaussian white noise signal, simulation signal detection process, analysis of detection threshold, noise variance and sampling interval on the detection of the impact of detection.)