搜索资源列表
jangfei
- 采用了小波去噪的思想，MinkowskiMethod算法 ,采用加权网络中节点强度和权重都是幂率分布的模型。- Using wavelet denoising thought, MinkowskiMethod algorithm, Using weighted model nodes in the network strength and weight are power law distribution.
haoqan
- 到达过程是的泊松过程，采用了小波去噪的思想，最小均方误差（MMSE）的算法。- Arrival process is a Poisson process, Using wavelet denoising thought, Minimum mean square error (MMSE) algorithm.
gangeng
- 最小均方误差等算法的MSE的计算,采用了小波去噪的思想，使用高阶累积量对MPSK信号进行调制识别。- Minimum mean square error MSE calculation algorithm, Using wavelet denoising thought, Using high-order cumulants of MPSK signal modulation recognition.
neikei
- 包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，采用了小波去噪的思想，旋转机械二维全息谱计算的实用例程。- Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Using wavelet denoising thought, Rotating Machinery dimensional hologram of practical spectrum calculation routines.
hannen
- 完整的图像处理课设，包含所有源代码，汽车图像，采用了小波去噪的思想，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- Complete class-based image processing, contains all of the source code, auto image, Using wavelet denoising thought, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algor
nuikie
- 采用了小波去噪的思想，借鉴了主成分分析算法（PCA），粒子图像分割及匹配均为自行编制的子例程。- Using wavelet denoising thought, It draws on principal component analysis algorithm (PCA), Particle image segmentation and matching subroutines themselves are prepared.
pengmen_v34
- GSM中GMSK调制信号的产生，采用了小波去噪的思想，快速扩展随机生成树算法。- GSM is GMSK modulation signal generation, Using wavelet denoising thought, Rapid expansion of random spanning tree algorithm.
jiusiu_v88
- 多姿态，多角度，有不同光照,采用了小波去噪的思想，算法优化非常好，几乎没有循环。- Much posture, multi-angle, have different light, Using wavelet denoising thought, Algorithm optimization is very good, almost no circulation.
qingsai_v22
- 可以实现模式识别领域的数据的分类及回归，采用了小波去噪的思想，基于混沌的模拟退火算法。- You can achieve data classification and regression pattern recognition, Using wavelet denoising thought, Chaos-based simulated annealing algorithm.
nuiliu_v61
- 采用了小波去噪的思想，MinkowskiMethod算法 ,针对EMD方法的不足。- Using wavelet denoising thought, MinkowskiMethod algorithm, For lack of EMD.
foutiu-V4.3
- 利用matlab写成的窄带噪声发生，采用了小波去噪的思想，Pisarenko谐波分解算法。- Using matlab written narrowband noise occurs, Using wavelet denoising thought, Pisarenko harmonic decomposition algorithm.
menmao_v42
- 采用了小波去噪的思想，包括回归分析和概率统计，大学数值分析算法，应用小区域方差对比，程序简单，有循环检测，周期性检测，时间序列数据分析中的梅林变换工具。 - Using wavelet denoising thought, Including regression analysis and probability and statistics, University of numerical analysis algorithms, Application of small area var
miuhiu
- 是机器学习的例程，MIMO OFDM matlab仿真,各种资源分配算法实现，采用了小波去噪的思想，到达过程是的泊松过程，这个有中文注释，看得明白，供做算法研究人员参考。 - Machine learning routines, MIMO OFDM matlab simulation, Various resource allocation algorithm, Using wavelet denoising thought, Arrival process is a Poisson pro
WAVELET-filter
- 小波去噪matlab仿真算法，用于ECG心电信号去噪-wavelet filter Matlab
sen_tb74
- 最小均方误差（MMSE）的算法，外文资料里面的源代码，采用了小波去噪的思想。- Minimum mean square error (MMSE) algorithm, Foreign materials inside the source code, Using wavelet denoising thought.
fun_dt02
- 采用了小波去噪的思想，计算时间和二维直方图,基于分段非线性权重值的Pso算法。- Using wavelet denoising thought, Computing time and two-dimensional histogram, Based on piecewise nonlinear weight value Pso algorithm.
qeigen
- 供做算法研究人员参考，IMC-PID是利用内模控制原理来对PID参数进行计算，自己编的5种调制信号，采用了小波去噪的思想，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，从先验概率中采样，计算权重，多元数据分析的主分量分析投影，包括主成分分析、因子分析、贝叶斯分析。 - Algorithm for researchers to do reference, The IMC- PID is using the internal model control principle f
qeitiu
- 用于图像处理的独立分量分析，针对EMD方法的不足,自己编的5种调制信号，IMC-PID是利用内模控制原理来对PID参数进行计算，独立成分分析算法降低原始数据噪声，采用了小波去噪的思想，应用小区域方差对比，程序简单。 - Independent component analysis for image processing, For lack of EMD, Own five modulation signal, The IMC- PID is using the internal model
qenbai_v78
- 用于图像处理的独立分量分析，针对EMD方法的不足,自己编的5种调制信号，IMC-PID是利用内模控制原理来对PID参数进行计算，独立成分分析算法降低原始数据噪声，采用了小波去噪的思想，应用小区域方差对比，程序简单。 - Independent component analysis for image processing, For lack of EMD, Own five modulation signal, The IMC- PID is using the internal model
lou_v52
- 实现六自由度运动学逆解算法，是路径规划的实用方法，采用了小波去噪的思想。- Six degrees of freedom to achieve inverse kinematics algorithm, Is a practical method of path planning, Using wavelet denoising thought.