ARMA_LAST

Thermistor characteristics linearization using Neural network.

冈萨雷斯数字图像处理matlab版一书配套代码()

本文应用SMQT和 SPLIT UP SNOW 分类器来完成对人脸的检测。(The purpose of this paper is threefold: firstly, the local Successive Mean Quantization Transform features are proposed for illumination and sensor insensitive operation in object recognition. Secondly, a split up Sparse Network of Winnows is presented to speed up the original classifier. Finally, the features and classifier are combined for the task of frontal face detection. Detection results are presented for the MIT+CMU and the BioID databases. With regard to this face detector, the Receiver Operation Characteristics curve for the BioID database yields the best published result. The result for the CMU+MIT database is comparable to state-of-the-art face detectors.)

It explains about anneal of images

说明：  processing and database for sar images

精通MATLAB最优化计算的书籍，精通matlab必读之书(The most proficient in MATLAB Optimization)

本代码解决的是在线性高斯环境下的目标跟踪，给出的是势均衡多目标多伯努利滤波器的高斯混合实现，本代码能够正常运行。( This code is to solve linear Gaussian target tracking environment, Gaussian mixture is given multi-objective multi-bonuli potential equalization filter implementation, this code to run properly.)

测量数据处理中闭合导线、支导线、附合导线的计算代码三个，另外两个是牛顿迭代法和GaussSeidel迭代法。(Measurement Data Processing Closed Traverse, Traverse, with a combined computing code three conductors, two other Newton iterative method and GaussSeidel iterative methods.)

本书详细讲解了数字音频水印的嵌入及提取的算法，并对信息隐藏等都有解释。(The book detailed account of digital audio watermark embedding and extraction algorithms, such as information hiding and have to explain.)

Learning Vector Quantization (LVQ) is a supervised version of vector quantization