Gold_code

BP神经网络作为若分类器，反复训练BP神经网络预测样本输出(As if the BP neural network classifier, repeated training samples of BP neural network output)

元胞自动机diffusion，matlab仿真代码，非常有参考价格。能成功实现。(Cellular Automata diffusion, matlab simulation code reference price. Can be successfully realized.)

lpc 线性分组码的编码方法和应用 lpc线性分组码的优势(LPC linear block code encoding method and application)

说明：  变步长LMS自适应滤波算法的MATLAB程序 可以有效滤除噪声(The matlab program of variable step size LMS adaptive filtering algorithm can effectively filter out noise)

说明：  常规调幅，也叫有载波双边带调制，按求包络的方法解调(Conventional AM, also known as there are bilateral with carrier modulation, in accordance with the method for envelope demodulation)

说明：  用MATLAB编制的模拟退火程序，程序后附注解释，以帮助理解(Compiled with MATLAB simulated annealing procedure)

speech recognition using matlab....sousce definition

Signal subspace identification is a crucial first step in many hyperspectral processing algorithms such as target detection, change detection, classification, and unmixing. The identification of this subspace enables a correct dimensionality reduction, yielding gains in algorithm performance and complexity and in data storage. This paper introduces a new minimum mean square error-based approach to infer the signal subspace in hyperspectral imagery. The method, which is termed hyperspectral signal identification by minimum error, is eigen decomposition based, unsupervised, and fully automatic (i.e., it does not depend on any tuning parameters). It first estimates the signal and noise correlation matrices and then selects the subset of eigenvalues that best represents the signal subspace in the least squared error sense. State-of-the-art performance of the proposed method is illustrated by using simulated and real hyperspectral images.

灰色关联度matlab源程序，灰色关联度分析法是将研究对象及影响因素的因子值视为一条线上的点,与待识别对象及影响因素的因子值所绘制的曲线进行比较,比较它们之间的贴近度,并分别量化,计算出研究对象与待识别对象各影响因素之间的贴近程度的关联度,通过比较各关联度的大小来判断待识别对象对研究对象的影响程度。(Gray correlation matlab source code, gray correlation analysis method is to study the factors and factors affecting the value of the points as a line, with the object to be identified and factors affecting the value of the factor curves drawn compares them to the between the proximity, and were quantified to calculate the object to be identified with the study of factors affecting the degree of correlation between the close degree of correlation by comparing the size of the object to be identified to determine the degree of influence on the study.)

基于变分贝叶斯里理论的图像超分辨率重建技术，对于理解超分辨率技术有一定帮助。(In theory based on variational Bayesian image super-resolution reconstruction technique for understanding the super-resolution technology has certainly helped.)