btreeP

GUI界面，对于灰度图像做简单处理，如平滑、锐化、裁剪、旋转、放大、缩小等。(image processing，include several functions)

matlab入门易学教程，通俗，易懂，很适合新手学习(Started to learn matlab tutorial, popular, easy to understand, it is suitable for beginners to learn)

基于图像的电路板焊点自动监测代码，matlab编的，希望和大家多多交流(Automatic monitoring code circuit board solder joints based on images, matlab series, and we hope more exchanges with you)

BPSK SNR vs BER graph simulation awgn channel

预测控制仿真程序，方法为广义预测，对象基于传递函数(Predictive control simulation program, the method is generalized to predict, based on the transfer function of the object)

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

kundur 单机无穷大 小信号分析 m文件(kundur-machine infinite-size signal analysis m file)

包含波束域的esprit和实值化的波束域esprit程序，结构清晰，便于学习研究这方面的朋友对照程序，学习相关的原理。(Domain contains the beam and the esprit of the beam real esprit domain procedures, the structure of a clear, easy to study and research in this area control procedures friends, learning principle.)

ecg (electro cardio gram) based authetication in matlab.output varified 100 working code.bla bla bla bla bla bla

Singular value decomposition takes a rectangular matrix of gene expression data (defined as A, where A is a n x p matrix) in which the n rows represents the genes, and the p columns represents the experimental conditions.