Smscorrelation

将指定文件类型进行转换，从而满足MATLAB等不同软件的快速输入要求(To convert the specified file type to meet different MATLAB software for fast input requirements)

这个程序详细描述了换热网络冷热复合曲线的画法以及最小冷公用工程、最小热公用工程和夹点温度的求法。(This program details the hot and cold composite curve heat exchanger network of painting and the minimum cold utility, the minimum heat utilities and Method pinch temperature.)

使用matlab根据50倍Q值的有源滤波器的传输函数设计各个参数跟带通滤波器的中心频率关系的M文件，可供调用(Q using matlab under 50 times the value of the transfer function of active filter design of the various parameters of band-pass filter with center frequency of the relationship between M-files are available for calls)

对脉冲多普勒雷达调频噪声进行仿真，你会发现非常又有有用。(FM noise to simulate the radar you will find that it is very useful.thank you to use it.thank you very much.you must be glad to find it.)

倍频程和三分之一倍频程滤波器设计源代码 希望大家多多交流(Octave and third octave filter design source code hope that we can exchange)

matlab实现模糊C均值算法对样本进行分类。附件中国有样本库。( matlab in fuzzy c means in sorting)

leach code with 5 optimal cluster head and direct transmission is allowed if base station is near than cluster head

关于无线传感器网络路由协议leach的MATLAB仿真(Wireless sensor network routing protocols on the leach of the MATLAB simulation)

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5—2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。(The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network, it was put forward to be used in the field of target tracking in the paper. The new residual is used as the input of the wavelet neural network, the output of the network is used to adjust adaptively the maneuvering frequency of the CS model. The algorithm is more close to the real state of the target. The simulation results showed that tracking error can be reduced and the tracking accuracy can be improved.)

k-means on matlab .........