GA-MATLAB

As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

图论中求最短路径问题，首先形成矩阵，调用矩阵，用此函数求出各点间最短路径(Graph theory to seek the shortest path problem, first of all, the formation of matrix, called matrix, use this function to derive the shortest path between points)

多方向灰度变换源代码（本子程序为单方向，多方向修改一下即可）(Multi-directional gray transform source code (book program for single-direction, multi-directional modify click))

This model shows the implementation of a QPSK transmitter and receiver. The receiver addresses practical issues in wireless communications, e.g. carrier frequency and phase offset, timing offset and frame synchronization. The receiver demodulates the received symbols and outputs a simple message to the MATLAB command line.

机械设计及理论 转子动力学中对轴承的研究(Mechanical Design and Theory Rotor Dynamics)

卡尔曼滤波的MATLAB程序，经试验程序，算法简单，结果有效。(Kalman filtering of the MATLAB program, the test procedure, the algorithm is simple, and effective.)

LLVM: A Compilation Framework forLifelong Program Analysis & Transformation. 2004 International Symposium on Code Generation and Optimization (CGO’04)

Color Image Enhancement Techniques: A Critical Review Abstract Image enhancement is one of the key issues in high quality pictures such as digital camera and HDTV. Since Image clarity is very easily affected by lighting, weather, or equipment that has been used to capture the image. These conditions lead to image may suffer from loss of information. As a result, many techniques have developed known as image Enhancement techniques to recover the information in an image. This paper presents a literature review on some of the image Enhancement techniques for color image enhancement like, Contrast Stretching, Histogram Equalization and its improvement versions, Homomorphic Filtering, Retinex, and Wavelet Multiscale Transform. Comparison of all the techniques concludes the better approach for its future research

说明：  简单的CI融合MATLAB程序，生成实际误差的协方差椭圆用于验证融合精度。(A simple CI fusion matlab program generates a covariance ellipse of the actual error to verify the fusion accuracy.)

LMS最小均方自适应滤波算法仿真，绝对可靠(LMS least mean square adaptive filter algorithm simulation, absolutely reliable)