FSK

小波变换程序，包括水平细节系数、垂直细节系数、近似细节系数、对角细节系数的显示(Wavelet transform procedures, including display horizontal detail coefficient, vertical detail coefficients and detail coefficients, the approximate diagonal detail coefficients)

说明：  过程信号的前馈-反馈型自适应盲分离算法：利用神经网络的自学习能力实现信号的盲分离已被证明是实现信号分离的一种有效方法,不同的神经网络模型对分离算法的效能将产生极大的影响 (The process of signal feedforward- feedback-based adaptive algorithm for blind source separation: Using neural networks to achieve self-learning ability of the blind signal separation has been proved to achieve the signal separation is an effective method, different neural network model of the separation algorithm efficiency will be have a great impact on the)

该算法用于自回归输入模型，是一种迭代的算法。其基本思想是基于对数据先进行一次滤波处理，后利用普通最小二乘法对滤波后的数据进行辨识，进而获得无偏一致估计。但是当过程的输出信噪比比较大或模型参数较多时，这种数据白色化处理的可靠性就会下降，辨识结果往往会是有偏估计。数据要充分多，否则辨识精度下降。模型阶次不宜过高。初始值对辨识结果有较大影响。(The algorithm used for autoregressive input model, it is a kind of iterative algorithm. The basic idea is based on data to conduct a filtering processing, after using ordinary least square method to identify the data filter, and then obtain unbiased consensus estimates. But when the process output signal-to-noise ratio is larger or model parameters are too, this kind of data white processs reliability will drop, identification results tend to be biased estimate. Data should fully, otherwise the identification accuracy down. Model order time shoulds not be too high. Initial value to identification results have great influence on.)

diochotomue算法matlab实现和三个实例。(dichotomie algorithm matlab implementation, and three instances.)

地表一致性反褶积就是用预测的方法进行反褶积(Surface consistent deconvolution method is to use predictive deconvolution)

说明：  基于端射阵的平面阵列方向图研究，对端射阵进行优化，采用遗传算法。(Planar array of end-fire array pattern study based on the end-fire array is optimized using genetic algorithms.)

pid自适应控制器学习和程序大家学习，很好用的(请求权)

RBF网络在matlab开发环境中的实现实例，有利于初学者学习与掌握(RBF network in matlab to achieve the development environment example, be helpful for beginners to learn and master )

用于对路标进行提取和识别！对于实验环境下的路标识别效果比较好！(To sign for extraction and recognition. For the test environment road signs recognition effect is better! )

强主动声纳信号干扰被动声探测的仿真分析.被动声探测是探测和跟踪水中噪声目标的重要手段,但强主动声纳信号的出现将对被动声探测产生很强的干扰作用,影响被动声纳对噪声目标的检测或跟踪。本文通过计算机仿真,分析被动声纳的积分时间、强主动声纳信号的强度、脉冲宽度和发射周期四个因素对强主动声纳信号干扰被动声探测程度的影响。(Simulation analysis of passive acoustic detection of a strong active sonar signal interference passive acoustic detection is an important means to detect and track water noise goals, but the emergence of strong active sonar signal will be passive acoustic detection generate strong interference effect, the impact of passive acoustic satisfied noise target detection or tracking. This paper through computer simulation, and analysis of the four factors of the integration time of the passive sonar, a strong active sonar signal intensity, pulse width, and launch cycle impact of passive acoustic detection of a strong active sonar signal interference.)