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本算法在训练步数、训练时间及其误差精度等方面都优于常规的模糊神经网络，其学习收敛速度快、误差曲线也更稳定。-the algorithm steps in training, training time and error accuracy is superior to the conventional fuzzy neural network, learning fast convergence, the error curve is more stable.
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fft算法在matlab上的实现，超多数据的快速傅里叶变换能很快搞定，适合学习及理解fft-fft algorithm realization in matlab, multiple data fast Fourier transform quickly buttoned suitable for learning and understanding fft
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该文件包含了BP小波神经网络快速学习算法研究与仿真的论文，以及两套小波算法方案，均通过MATLAB实现-This file contains the fast BP neural network learning algorithm and simulation papers, and two sets of wavelet algorithm for the program are achieved through the MATLAB
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基于一维小波快速mallat算法的经典程序，适合初学者学习使用-One-dimensional wavelet-based algorithm for fast mallat classic procedure, suitable for beginners learning to use
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应用 FFT对信号进行频谱分析
1、在理论学习的基础上，通过本次实验，加深对快速傅里叶变换的理解，熟悉FFT 算法及
其程序的编写。
2、熟悉应用FFT 对典型信号进行频谱分析的方法。
3、了解应用 FFT 进行信号频谱分析过程中可能出现的问题，以便在实际中正确应用 FFT。 -Application of FFT spectrum analysis of signal 1, the theoretical foundation of learning, through th
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实现有效的学习算法 的稀疏贝叶斯模型，即稀疏贝叶斯matlab工具箱-"SparseBayes" is a package of Matlab functions designed to implement
an efficient learning algorithm for "Sparse Bayesian" models.
The "Version 2" package is an expanded imple
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In theory, this algorithm tends to provide good generalization performance at extremely fast learning
speed.-The experimental results based on a few artificial and real benchmark function approximation and classification problems
including very l
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fast-ICA快速算法原理和程序，还有仿真图和详尽的解释，对于学习ICA算法有很大帮助-fast-ICA fast algorithm and procedures, as well as simulation maps and detailed explanations, it is very helpful for learning ICA algorithm
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“Fast Tracking via Dense Spatio-Temporal Context Learning,” In ECCV 2014的源代码，效果非常好。-In this paper, we present a simple yet fast and robust algorithm which exploits the spatio-temporal context for visual tracking. Our approach formulates the spatio-te
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基于matlab软件的快速ica算法程序及例子，希望能够在你学习的过程帮到你-Fast ica algorithm based on procedures and examples of matlab software, I hope you can help the learning process to you
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双向PCS控制仿真，关于神经网络控制，一种流形学习算法（很好用），应用小区域方差对比，程序简单，用MATLAB实现的压缩传感，保证准确无误，是学习通信的好帮手，gmcalab 快速广义的形态分量分析。-Two-way PCS control simulation, On neural network control, A fluid manifold learning algorithm (good use), Application of small area variance compari
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单径或多径瑞利衰落信道仿真，gmcalab 快速广义的形态分量分析，有借鉴意义哦，非归零型差分相位调制信号建模与仿真分析 ，已调制信号计算其普相关密度，仿真效率很高的，一种流形学习算法（很好用）。- Single path or multipath Rayleigh fading channel simulation, gmcalab fast generalized form component analysis, There are reference Oh, NRZ type differ
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是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析，可以得到很精确的幅值、频率、相位估计，一种流形学习算法（很好用），FMCW调频连续波雷达的测距测角，gmcalab 快速广义的形态分量分析，对于初学者具有参考意义，线性调频脉冲压缩的Matlab程序。- Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-orga
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虚拟力的无线传感网络覆盖，通过虚拟阵元进行DOA估计，部分实现了追踪测速迭代松弛算法，gmcalab 快速广义的形态分量分析，结合PCA的尺度不变特征变换(SIFT)算法，一种流形学习算法（很好用），FMCW调频连续波雷达的测距测角，预报误差法参数辨识-松弛的思想。- Virtual power wireless sensor network coverage, Conducted through virtual array DOA estimation, Partially achieved
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直线阵采用切比学夫加权控制主旁瓣比，脉冲响应的相关分析算法并检验，包含收发两个客户端的链路级通信程序,实现了对10个数字音的识别，gmcalab 快速广义的形态分量分析，一种流形学习算法（很好用）。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, Related impulse response analysis algorithm and inspecti
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模拟数据分析处理的过程，gmcalab 快速广义的形态分量分析，一种流形学习算法（很好用），阐述了负荷预测的应用研究,LDPC码的完整的编译码，实现了对10个数字音的识别程序有PMUSIC 校正前和校正后的比较。- Analog data analysis processing, gmcalab fast generalized form component analysis, A fluid manifold learning algorithm (good use), It describe
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毕业设计有用，利用贝叶斯原理估计混合logit模型的参数，使用高阶累积量对MPSK信号进行调制识别，使用拉亚普诺夫指数的公式，一种流形学习算法（很好用），gmcalab 快速广义的形态分量分析。- Graduation useful Bayesian parameter estimation principle mixed logit model, Using high-order cumulants of MPSK signal modulation recognition, Raya Pun
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此程序适用于初学者的多通道正定盲源分离的快速ICA算法，适合初学者学习使用-This program is suitable for beginners of multi-channel positive definite fast ICA algorithm of blind source separation, suitable for beginners learning to use
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Single image haze removal has been a challenging
problem due to its ill-posed nature. In this paper, we propose a
simple but powerful color attenuation prior for haze removal from
a single input hazy image. By creating a linear model for modeling
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