Program_rovnice

优点：1.对于信噪比高的信号滤波效果好； ％ 2.对于边沿的保护强过阈值滤波，不会产生阈值滤波情况下的过于平滑与Gibbs现象。 ％缺点：1.由于对边沿信号没做任何处理，所以边沿可能会有脉冲噪声保留下来； ％ 2.计算相关系数中，如果计算出来的小波系数点位置偏差大，则相关系数计算受影响； ％ 3.需要迭代运算，迭代的噪声能量阈值选取很重要，这里以开始段无信号处估计噪声； ％ 4.需要迭代运算，所以运算量比阈值法大； ％ 5.受分解层次影响，在大尺度上小波系数点位置偏差更大，相关系数计算不准确。 ％需要具体调整的地方：1.分解的尺度；()

Traveling Salesman Problem - Genetic Algorithm

线性调频信号的波形和其模糊函数，以及其模糊函数的图形。直观表示该信号的模糊函数(LFM waveform and the ambiguity function, and its ambiguity function of the graphics. Visual representation of the signal ambiguity function)

说明：  matlab,自适应滤波算法，包括LSL,LMS等(matlab, adaptive filtering algorithms, including LSL, LMS, etc.)

这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。 (This is a space-time block coding based on the MIMO_OFDM communication system simulation design. This system consists of QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, based on training symbols such as communication channel estimation module.)

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

关于雷达MTD处理的MATLAB程序仿真(the matlab program about the mtd of radar)

TeagerKaiser Energy operator method has been explained with help of Matlab 2007a version. This method can be used in case of speech and voice processing as well as any kind of signal processing activities. This has been explained with multiple input signals. A noise has been added in order to explain the method s efficiency at last.

说明：  费舍尔用于分类的程序，非常简洁易懂，非常好用(Fisher for the classification process is very simple and easy to understand, very easy to use)

这是一个展示Binding功能的例子，实现了滑动条控制矩形坐标的功能。(This is a showcase Binding features examples slider control to achieve a rectangular coordinate functions.)