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87ptsn
通信仿真中非常重要的一个程序，实现ofdm抑制papr算法(Communication simulation program is very important to realize ofdm algorithm inhibition papr)
- 2010-12-09 23:59:44下载
- 积分：1
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t_charpt6
原函数及求得的相应差值多项式的函数的图像以及参原函数及求得的相应差值多项式的函数的图像以及参数alph的误差r数alph的误差r(原函数及求得的相应差值多项式的函数的图像以及参数原函数及求得的相应差值多项式的函数的图像以及参数alph的误差ralph的误差r)
- 2010-12-12 19:26:38下载
- 积分：1
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jibenpujianfa
说明： 这是语音信号处理里面的，基本谱减法，处理的效果很不错，很适合初学者研究！(This is the speech signal processing inside the basic spectral subtraction to deal with the effect of very good, very suitable for beginners study!)
- 2010-03-23 12:53:22下载
- 积分：1
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dft_gui
Discrete Fourier transform GUI for MATLAB.
- 2012-04-05 09:05:22下载
- 积分：1
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jiaocuo2_10jie
二维声波交错网格十阶差分程序，模拟声波传播规律，计算波场振幅(Two-dimensional staggered grid ten bands sound difference program to simulate the propagation of sound waves to calculate the wave field amplitude)
- 2021-01-28 19:18:35下载
- 积分：1
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Retinal_Blood_Vessel_Extraction
Matlab program for Retinal detection
- 2013-05-04 16:56:30下载
- 积分：1
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Signals-and-Systems-with-MATLAB
It is a very good MATLAB book.
- 2014-11-24 04:49:15下载
- 积分：1
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01360143
Fault-Tolerant Control (A Fault-Tolerant Control Architecture for Induction
Motor Drives in Automotive Applications)
- 2013-05-08 16:23:12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
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WSN4
WIRESLESS SENSOR NETWORKS ALGORTHIM3
- 2013-01-26 15:30:32下载
- 积分：1
