fuzzy-reasoning_Matlab

this is the simulation designed to know the switching time of the svpwm and the simulink model of the 6-pulse invetre and induction model with the krause d-q transformation is simulated .......

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.)

现代通信信号在matlab中的实现以应用程序(good)

induction motor modelisation

De-Noising of ECG Signal Using Translation- Invariant Wavelet De-Noising Method with Improved Thresholding

一种基于纠错编码的空域自适应水印。嵌入，攻击，提取(an adaptive watermarking based onError correction coding in spatial domain . Embedding, attack, extraction)

MATLAB应用程序举例，实践应用，语法基础，matlab入门基础应用(MATLAB application, for example, practice and application, basic grammar, matlab basic application Introduction)

说明：  这是基于周期图改进的welch的功率谱估计，这种方法是在经典周期图的基础上改进而来的，效果很不错(This is based on the improved welch periodogram power spectral estimation, this method is based on the classical periodogram improvement came, the effect is very good)

说明：  shtXX 实际应用样例，有详细中文说明，已经调试验证过(shtXX the practical application of the sample, a detailed explanation in Chinese, has been verified debugging)

神经网络变量筛选—基于BP的神经网络变量筛选,MATLAB的经典算法(Neural network variable selection- based on BP neural network variable selection, MATLAB classical algorithm)