16QAM_Viterbi_soft

雷达信号处理,针对现代雷达信号处理的主要方式，运用数字信号处理理论和 Matlab 软件研究雷达信号处理的仿真 问题。提出了一个仿真模型，该模型可以仿真雷达信号、热噪声与杂波的产生和雷达系统中信号的动态处理 过程。用 Matlab 对某脉冲压缩雷达信号处理系统进行了仿真，得到了雷达系统中各个处理点上的具体信号形 式，既包含幅度信息，又包含相位信息，该模型能较好地满足对雷达信号处理的仿真要求，显示了用 Matlab 仿真雷达信号处理系统的方便、快捷的优点。 (Radar signal processing, radar signal processing for the modern major mode of use of digital signal processing theory and Matlab software simulation of the radar signal processing problems. Proposed a simulation model, the model can be simulation of radar signals, thermal noise and clutter of the radar system in the generation and dynamic signal processing. Using Matlab for a pulse compression radar signal processing system simulation, radar systems have been various points on the treatment of specific signal form contains both amplitude information, but also contains the phase information, the model can better meet the needs of radar signal processing simulation requirements, shows the Matlab simulation using radar signal processing system convenient, fast advantages.)

Matlab常用命令文档,三部分,包括各种例子,充分让你了解各个命令的使用方法.(Matlab commands commonly used documents, in three parts, including a variety of examples, and fully understand the command you use.)

这个程序是修改和扩展Paul Kienzle的倍频频谱方案。(This program is a modification and extension to Paul Kienzle s spectrogram program for Octave.)

Kalman滤波开发包matlab版源码

complete viterbi decoder in MATLAB

algebraic reconstruction technique using guide

说明：  从小数据量计算最大李氏指数的一种实用方法。(data from the largest Lyapunov exponent is calculated as a practical method.)

这几段程序分别是matlab环境下图像逻辑操作、交换显示图像、矢量数据的显示、交换显示图像(These paragraphs procedures are logical operations matlab environment image, switching display images, vector data display, switching the display image)

说明：  对单载频高斯脉冲的发生和其频移的研究，能够正常运行，很好的学习的例子。(The single transmits the happening of the gaussian pulse and its frequency shift research, can run normally, very good example. )

模糊C-均值算法容易收敛于局部极小点，为了克服该缺点，将遗传算法应用于模糊C-均值算法(FCM)的优化计算中，由遗传算法得到初始聚类中心，再使用标准的模糊C-均值聚类算法得到最终的分类结果。(Fuzzy C- means algorithm is easy to converge to a local minimum point, in order to overcome this drawback, the genetic algorithm is applied to fuzzy C- means algorithm (FCM) optimization calculations by the genetic algorithm initial cluster centers, and then using standard fuzzy C- means clustering algorithm to obtain the final classification results.)