GABOR

Kalman filter simulation on Matlab code

扩频通信，从电磁波利用来看，与一般现有的常规通信方式完全不同。扩频通信利用伪随机编码把信息数据（窄带信号）的频谱进行扩展，形成宽带的低功率谱密度信号发射，使用不同的伪随机序列编码，不同通信用户可在同一频段、同一时间工作，互不影响或干扰极小地进行通信。(Spectrum, from the electromagnetic waves used term, and the general existing conventional means of communication is entirely different. Spread spectrum communication using pseudo-random code to the information data (narrowband signal) to extend the spectrum, the formation of low-power spectral density broadband signal transmission, using different pseudo-random sequence of coding, different communication users at the same frequency band, at the same time work, mutual does not affect or interfere with a very small way to communicate.)

用MATLAB和数值逼近方法实现费米函数的简捷计算(MATLAB and numerical approximation method for the simple calculation of the Fermi function)

Fibonacci method is an optimization method which can be used to find optimum of a 1D function (even discrete function) using elimination method. For use this method the initial interval of uncertainty, in which the optimum lies, has to be known. In addition the objective function should be unimodal, which has just an optimum solution in initial interval.

将实数信号分解为循环偶分量和循环奇分量以及循环卷积等程序（matlab源程序）(The real number signal decomposition cycle even component and circulation odd component, and circular convolution program (matlab source code))

说明：  用遗传算法求解TSP问题+matlab动态演示其求解过程。(TSP problem using genetic algorithm+ matlab dynamic presentation of their solution process.)

读取气象雷达基数据（SA），能够实现产品显示和二次处理(Read the meteorology of Base data (SA), to be able to display and secondary treatment)

与阵列信号处理理论和应用相对应的MATLAB编程，涵盖了阵列信号处理的一些采用的方法，对初学者的学习有很大的帮助。(Array signal theory and the application of the corresponding MATLAB algorithm, describes the array signal processing used in method. For beginners have a good reference value.)

说明：  Matlab基础知识学习，如数值计算，绘图，程序设计，文件操作，数学运算等。(Matlab basics of learning, such as numerical computation, graphics, programming, file operations, math and so on.)

关于介绍小波在信号和图像中的应用，有大量例子说明~(On the introduction of wavelet in signal and image applications, there are numerous examples to illustrate ~)