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适合任何信号的模糊函数的画法。运行时要明白要要输入的那几个字母的实际含义。首先要将你的信号进行离散化，Signal elements（u_basic）就是你的信号矢量。Frequency coding in units of 1/tb你信号的采样频率，Over sampling ratio表示要满足采样定理（采样频率大于两边以上信号最高频率），其他的直接翻译过来就可以了 (Ambiguity function for any signal of painting. Run-time to understand that to enter a few letters to the actual meaning. First, you want to discrete signals, Signal elements (u_basic) is your signal vector. Frequency coding in units of 1/tb your signal sampling frequency, Over sampling ratio that should satisfy the sampling theorem (sampling frequency is greater than the highest frequency signal on both sides of the above), the other can be directly translated to the)

基于matlab的直流电阻率2.5维正演程序，供学习参考用。(A MATLAB 2.5-D electrical resistivity modeling code)

无线通信信道的自适应均衡算法，RLS算法，有助于消除码间串扰(Wireless communication channel adaptive equalization algorithm, RLS algorithm, help to eliminate ISI)

Using BPSK modulation scheme,in MIMO system, alamouti code & both OSTB code for a rayleigh fading channel . for 2*1, 2*2, for 4*4, for 8*8

Linear receiver stbc matlab codes

说明：  用于计算地震作用下单自由度结构的响应和响应谱(Used to calculate the response and response spectrum of a single degree of freedom structure under earthquake action)

讲述利用MATLAB实现特殊矩阵，以及实现MATLAB的计算结果的图形化( About the use of MATLAB to achieve a special matrix, as well as the calculation of the results of MATLAB graphical )

MATLAB通信原理pcm编码mdl文件(MATLAB Communication Theory pcm encoding mdl file)

说明：  EKF仅仅利用了非线性函数Taylor展开式的一阶偏导部分（忽略高阶项），常常导致在状态的后验分布的估计上产生较大的误差，影响滤波算法的性能，从而影响整个跟踪系统的性能。最近，在自适应滤波领域又出现了新的算法——无味变换Kalman滤波器（Unscented Kalman Filter-UKF）。UKF的思想不同于EKF滤波，它通过设计少量的σ点，由σ点经由非线性函数的传播，计算出随机向量一、二阶统计特性的传播。因此它比EKF滤波能更好地迫近状态方程的非线性特性，从而比EKF滤波具有更高的估计精度。 (EKF only uses non-linear function of the first-order Taylor expansion of some partial derivatives (ignoring higher order terms), often leading to the posterior distribution of the state estimates to generate large errors affect the performance of filtering algorithms, which affect the whole tracking system performance. Recently, the field of adaptive filtering algorithms and the emergence of new- and tasteless transform Kalman filter (Unscented Kalman Filter-UKF). EKF UKF filter is different from the idea that it points through the design of a small amount of σ by σ point spread through the nonlinear function to calculate the random vector first and second order statistical properties of the transmission. Therefore it is better than the EKF filter nonlinear characteristics equation of state approach, which is more than the EKF filter estimation accuracy.)

The TSP problem ant colony algorithm MATLAB source code