emacs-lisp-intro

关于卷积码的viterbi译码算法，可以自己设定输入的码元(On the viterbi decoding convolutional codes, can be set for the input symbol)

coding for space coding basics...

在基于Mean-Shift的目标跟踪算法中，尺度自适应机制是算法研究的一个重要方向。一种典型的方法采 用Lindeberg的尺度空间理论以获取目标尺度信息。但现有算法中将尺度由2．D矢量压缩为1一D量，未能精细地 刻画目标仿射变换时的尺度变化，从而限制了算法的适用范围。为此，该文将尺度维1．D滤波推广至2一D，构造得 到了相应的垂D尺度空间，并利用窄间维和尺度维的Mean-Shift交替迭代，实现了同时在空间位置和尺度方向对 目标的有效跟踪，提高了算法在目标尺度变化时的自适应性，并扩大了算法的适用范围。 关键(Scale adaptive mechanism in the target tracking algorithm based on Mean-Shift algorithm is an important direction of research. A typical method using Lindeberg' s scale space theory to obtain the target scale. However, the existing algorithms will scale from 2. D vector compression for 1-D volume, not fine to portray the target affine transformation of scale changes, thus limiting the scope of application of the algorithm. To this end, the paper will scale dimension. D filter to the 2-D structure has been the vertical D scale space and the use of narrow inter-dimension and scale dimension of the Mean-Shift alternating iteration, effective tracking of the target position in space and scale direction to improve the self-adaptive algorithm when the target scale changes, and to expand the scope of application of the algorithm. Key)

均匀布拉格光栅的仿真程序，使用龙格库它法编写的源代码。(Uniform Bragg grating of the simulation program, the use of Runge law prepared by the Treasury of its source code.)

It is a package for colour image steganography using pixel value differencing in spatial domain

qpsk的升余弦滤波，matlab编写M文件，调试成功，显示滤波图形。(the qpsk raised cosine filter, Matlab prepared M-file debugging success, showing the filter graphics.)

应用于三电平的基于g-h坐标系的SVPWM算法，相比于传统的SVPWM算法，计算量大大减小了。(Applied to the three-level SVPWM algorithm based gh coordinates, compared to traditional SVPWM algorithm to calculate is greatly reduced.)

说明：  matlab的一些入门代码，包括但不限于输入输出、选择结构、循环结构、函数、画图等(Introduction to MATLAB with some basic code)

这些压缩文件里面包含了QPSK信号在瑞利信道和加性白高斯噪声信道中的仿真等(These compressed file containing the QPSK signal in the Rayleigh channel additive white Gaussian noise channel simulation, etc.)

Matlab Tutorials with Diskription und Files