BaseLine1

function for auv id this file is good for estimation

Cipher Block Mode for Authentication.

dark channel defog 包含在一个文本文件中的两个matlab程序能够实现很好的图像清晰化功能(decrease haze)

itoolbox 非常厉害，非常好。非常美(itoolbox is a very perfect project.)

一本非常适合学习matlab/simulink的入门书籍，书中有详细的例子和讲解！(A very suitable for learning matlab/simulink entry books, the book has detailed examples and explanation!)

test interface matlab

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.

source code using principal component analysis and similirity matching with the ecludien distance this is an approach used for face recognition. this file also contains and test images

RT9S12 target document

The WAVELETCHANGE dialog is initiated by calling WAVELETCHANGEINIT which then calls WAVELETCHANGE. With one exception, WAVELETCHANGE is never called directly from another program. Tha exception is when another program has a figure handle that may be a legitimate WAVELETCHANGE window or not. Calling waveletchange( test ,figurehandle) will return 1 if it is a legit change window and zero otherwise.