Correction-of-the-linear-system

CC1110的各种程序例程，包括无线实验，TDMA和FDMA点对多点通信原代码(Various routines of CC1110, including wireless experiment, TDMA and FDMA point to multipoint communication source code)

Image processing using MATLAB, basics..

小波谱分析mallat算法经典程序，用的也是一维信号(small spectral analysis algorithm Mallat classic procedures, as well as the one-dimensional signal)

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 algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)

基于最小二乘支持向量机算法的三维荧光光谱技术的应用(Based on least squares support vector machine algorithm for three-dimensional application of fluorescence spectroscopy)

基于Alamouti的空频编码发射信号，并采用类似于Alamouti 解码的线性解码算法解调符号(Transmit signal based on Alamouti space-frequency coding and decoding of linear adopt similar Alamouti decoding algorithm demodulated symbols)

插值法，matlab实现， pdf格式报告，内含代码(Interpolation method, matlab implementation, pdf format reports, containing the code)

说明：  蚁群算法混合粒子群算法的matlab程序(Matlab Program of Ant Colony Algorithm Mixed Particle Colony Algorithm)

ROC curves illustrate performance on a binary classification problem where classification is based on simply thresholding a set of scores at varying levels. Lenient thresholds give high sensitivity but low specificity, strict thresholds give high specificity but low sensitivity the ROC curve plots this trade-off over a range of thresholds (usually with sens vs 1-spec, but I prefer sens vs spec this code gives you the option). It is theoretically possible to operate anywhere on the convex hull of an ROC curve, so this is plotted too. The area under the curve (AUC) for a ROC plot is a measure of overall accuracy, and the area under the ROCCH is a kind of upper bound on what might be achievable with a weighted combination of differently thresholded results from the given classifier

说明：  FEA 有限元计算matlab很早以前编制的程序，适应新的matlab环境。(FEA finite element matlab long ago programmed to adapt to the new matlab environment.)