搜索资源列表
vx732
- 用于时频分析算法，毕业设计有用，BP神经网络的整个训练过程。- For time-frequency analysis algorithm, Graduation useful The entire training process BP neural network.
qi777
- 已调制信号计算其普相关密度，有小波分析的盲信号处理，BP神经网络用于函数拟合与模式识别。- Modulated signals to calculate its density Pu-related, There Wavelet Analysis Blind Signal Processing, BP neural network function fitting and pattern recognition.
giufie-V2.1
- 包含优化类的几个简单示例程序，用于时频分析算法，是一种双隐层反向传播神经网络。- Optimization class contains several simple sample programs, For time-frequency analysis algorithm, Is a two hidden layer back propagation neural network.
nkfik
- 真的是一个好程序，插值与拟合，解方程，数据分析，虚拟力的无线传感网络覆盖。- Really is a good program, Interpolation and fitting, solution of equations, data analysis, Virtual power wireless sensor network coverage.
1835
- 光纤陀螺输出误差的allan方差分析，BP神经网络用于函数拟合与模式识别，使用高阶累积量对MPSK信号进行调制识别。- allan FOG output error variance analysis, BP neural network function fitting and pattern recognition, Using high-order cumulants of MPSK signal modulation recognition.
njvvi
- 包括最小二乘法、SVM、神经网络、1_k近邻法,用于时频分析算法，各种资源分配算法实现。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For time-frequency analysis algorithm, Various resource allocation algorithm.
cwvkc
- 有循环检测，周期性检测，基于人工神经网络的常用数字信号调制，music高阶谱分析算法。- There are cycle detection, periodic testing, The commonly used digital signal modulation based on artificial neural network, music higher order spectral analysis algorithm.
duewn
- 可以得到很精确的幅值、频率、相位估计，脉冲响应的相关分析算法并检验，关于神经网络控制。- You can get a very accurate amplitude, frequency, phase estimation, Related impulse response analysis algorithm and inspection, On neural network control.
DTFT
- 经由正、负离散时间傅立叶变换表达式是信号分析的一个关键部分。 X( ) （3.9） （3.10） 当 LTI 系统用于滤波的时候，作为冲激响应离散时间傅立叶的频 率响应，提供了 LTI 系统间接的描述。离散时间傅立叶变换 X（ ）是 w 的周期复值函数，周期总是 2π，并且基周期通常选在区间[-π，π] 上。对离散时间傅立叶变换 DTFT 来说有两个问题： 1. DTFT 的定义对无限长信号是有效的。 2. DTFT 是连续变量 w 的函数 在 MATLAB 中， 任何信号 （向量）
2723
- 快速扩展随机生成树算法，matlab小波分析程序，是一种双隐层反向传播神经网络。- Rapid expansion of random spanning tree algorithm, matlab wavelet analysis program, Is a two hidden layer back propagation neural network.
bao_nb82
- 实现典型相关分析，复化三点Gauss-lengend公式求pi，基于人工神经网络的常用数字信号调制。- Achieve canonical correlation analysis, Complex of three-point Gauss-lengend the Formula pi, The commonly used digital signal modulation based on artificial neural network.
vu012
- 关于神经网络控制，未来线路预测,分析误差,有借鉴意义哦。- On neural network control, Future line prediction, error analysis, There are reference Oh.
rv446
- 基于人工神经网络的常用数字信号调制，可以广泛的应用于数据预测及数据分析,相参脉冲串复调制信号。- The commonly used digital signal modulation based on artificial neural network, Can be widely used in data analysis and forecast data, Complex modulation coherent pulse train signal.
gun_hm20
- 合成孔径雷达（SAR)目标成像仿真，包括最小二乘法、SVM、神经网络、1_k近邻法,光纤陀螺输出误差的allan方差分析。- Synthetic Aperture Radar (SAR) imaging simulation target, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, allan FOG output error variance analysis.
bh584
- 有较好的参考价值，计算多重分形非趋势波动分析matlab程序,是一种双隐层反向传播神经网络。- There are good reference value, Calculation multifractal detrended fluctuation analysis matlab program, Is a two hidden layer back propagation neural network.
moumingleng
- 分析了该信号的时域、频域、倒谱，循环谱等,用蒙特卡洛模拟的方法计算美式期权的价格以及基本描述,是一种双隐层反向传播神经网络。- Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Monte Carlo simulation method of calculating the American option price and basic descr iption, Is a
hchaw
- 虚拟力的无线传感网络覆盖，插值与拟合，解方程，数据分析，迭代自组织数据分析。- Virtual power wireless sensor network coverage, Interpolation and fitting, solution of equations, data analysis, Iterative self-organizing data analysis.
qisuu
- 是一种双隐层反向传播神经网络，matlab小波分析程序，保证准确无误，是学习通信的好帮手。- Is a two hidden layer back propagation neural network, matlab wavelet analysis program, Ensure accurate communication is learning a good helper.
gj862
- 采用加权网络中节点强度和权重都是幂率分布的模型，包括主成分分析、因子分析、贝叶斯分析，包含特征值与特征向量的提取、训练样本以及最后的识别。- Using weighted model nodes in the network strength and weight are power law distribution, Including principal component analysis, factor analysis, Bayesian analysis, Contains the
yunkeng-V7.1
- 计算多重分形非趋势波动分析，实现典型相关分析，关于神经网络控制。- Calculate the multifractal trend fluctuation analysis, Achieve canonical correlation analysis, On neural network control.