16PSK

本文回顾了选矿一拜耳法新工艺的立项背景和研究历程及取得的技术成果，阐述了选矿一拜耳法新工艺对我国氧化铝工业发展产生的重大与深远意义。(This paper reviews the Bayer beneficiation of a new technology project background and progress of the research and technological achievements, described the new technology of beneficiation of a Bayer alumina industry development of China' s important and far-reaching significance.)

可对.txt文本进行霍夫曼编码，并计算其压缩率(Can. Txt text Huffman code, and calculate the compression ratio)

比较详细的介绍了最优化方法及如何利用MATLAB实现 :)(More detailed description of the optimization method and how to use MATLAB to achieve:))

用LMS算法实线性均衡结构现光纤信道的自适应均衡，简单实用(LMS algorithm with real-balance structure is linear fiber channel adaptive equalization, simple and practical)

说明：  车牌识别系统 车牌定位 分割 和识别 识别是模板匹配的方法matlab(Matlab license plate recognition system)

Robotic is a special engineering science dealing with designing, modelin& controlling and robots utilization.

MATLAB codes for blind forgery systems

说明：  Kriging插值算法的matlab工具包程序(Kriging matlab toolkit program)

Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse response matrix operating on a sparse excitation, as in the linear model of speech production, for recovering compressive sensed speech. Since the linear transform is signal dependent and unknown, unlike the standard CS formulation, a codebook of transfer functions is proposed in a matching pursuit (MP) framework for CS recovery. It is found that MP is efficient and effective to recover CS encoded speech as well as jointly estimate the linear model. Moderate number of CS measurements and low order sparsity estimate will result in MP converge to the same linear transform as direct VQ of the LP vector derived the original signal. There is also high positive correlation between signal domain approximation and CS measurement domain approximation for a large variety of speech spectra.

说明：  支持向量机SVM和核函数的MATLAB程序集(MATLAB SVM RBF SIGMOD)