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gajam
说明： am调制解调，使用matlab 制作的。如果还需要fm与pm调制与解调的`~请于我联系(am modulation and demodulation, the use of matlab produced. If necessary with the fm modulation and demodulation pm `~ Please contact me)
- 2008-09-03 15:06:05下载
- 积分：1
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GAbit_roulette
Introduction to Stochastic Search and Optimization
- 2010-01-07 20:40:49下载
- 积分：1
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MMSEpujian
说明： 这个是语音信号处理里面的基于MMSE的谱减法增强处理程序，此种方法是我见过消除噪声最好的！(This is the speech signal processing inside the MMSE-based spectral subtraction to enhance handling procedures, this method is the elimination of noise, the best I' ve ever seen!)
- 2010-03-23 13:11:09下载
- 积分：1
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Edge_Detection
detecting the Edge from an image with the filter
- 2011-11-11 13:28:24下载
- 积分：1
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VirtualTestTarget
Annotation for "virtual" implementation classes. These are classes that have the following attributes:.
- 2013-12-05 10:45:00下载
- 积分：1
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sanxiangsandianpmoxing
关于三相三电平逆变器IGBT的一个仿真模型(On the three phase three level inverter IGBT a simulation model)
- 2021-04-19 10:58:51下载
- 积分：1
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bifurcation diagram
利用mathematicaplot 三维动态混沌分形图(Chaotic fractal graph and bifurcation diagram)
- 2021-04-16 08:38:53下载
- 积分：1
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EEG Waveform Mapping Program
脑电波形图绘制程序，包含调整坐标轴位置、范围等内容的代码示例(EEG Waveform Mapping Program)
- 2021-02-09 10:09:53下载
- 积分：1
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swarm
使用Scilab编写的粒子群算法，例子比较简单，无混沌搜索(Scilab prepared using particle swarm optimization, for example, relatively simple, non-chaotic search)
- 2009-04-12 19:44:14下载
- 积分：1
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ANN-in-maneuvering-target-tracking
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.)
- 2009-12-19 07:11:54下载
- 积分：1
