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一种基于小波域灰度图像盲水印的新方法， 方案中利用了人类视觉系统（HVS）特征。(A new approach for non-blind watermarking of still gray level images in the wavelet domain.The method uses the Human Visual System(HVS)characteristic)

classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.

说明：  matlab中s函数的详细介绍及实用例题。(matlab s function in detail and practical examples.)

一个用于人脸识别的联想-预测模型，此文中设计的模型可以很好的识别出在不用环境下的人脸(An associate- predict Model for Face Recognition ,design model in the text can be well identified in the environment not face)

matlab对图像随机添加四种噪声，然后分别通过自编中值滤波，均值滤波，高斯滤波，和维纳滤波进行滤波(matlab add four random noise to the image, and then were filtered by self median filtering, mean filtering, Gaussian filtering, and Wiener filtering)

simulink matlab of communication sans fil

this is about risk managment problems....

移动通信中的MIMO信道模型，请大家一起多多交流(Mobile communication MIMO channel model, please more exchanges with U.S.)

Converts a floating point value to IEEE 754 32 bit binary representation. Sign Bit: 1 Exp: 2 to 9 Frac: 10:32 Single-precision floating-point format is a computer number format that occupies 4 bytes (32 bits) in computer memory and represents a wide dynamic range of values by using a floating point. In IEEE 754-2008 the 32-bit base 2 format is officially referred to as binary32. It was called single in IEEE 754-1985. In older computers, other floating-point formats of 4 bytes were used. For example, the 32-bit floating point bit pattern 1 01111101 00101100000000000000000 is interpreted as the following: (− 1)1 × (1 + 0.34375) × 2(125–127) = -1.34375× 2− 2 = -0.3359375 ​

mimo的仿真，误码率，比特率随接收天线的变化情况(mimo simulation, error rate, the bit rate changes with the receiving antenna)