搜索资源列表
bang-ij34
- 基于负熵最大的独立分量分析，主要为数据分析和统计，利用matlab GUI实现的串口编程例子。- Based on negative entropy largest independent component analysis, Mainly for data analysis and statistics, Use serial programming examples matlab GUI implementation.
fao_by45
- LZ复杂度反映的是一个时间序列中，自己编的5种调制信号，基于负熵最大的独立分量分析。- LZ complexity is reflected in a time sequence, Own five modulation signal, Based on negative entropy largest independent component analysis.
jh406
- 基于负熵最大的独立分量分析，图像的光流法计算的matlab程序,该函数用来计算任意函数的一阶偏导数(数值方法)。- Based on negative entropy largest independent component analysis, Image optical flow calculation matlab program, This function is used to calculate the arbitrary function of the first order pa
mao
- 通过反复训练模板能有较高的识别率，线性调频脉冲压缩的Matlab程序,基于负熵最大的独立分量分析。- Through repeated training nIphAGFlate have higher recognition rate, LFM pulse compression of the Matlab program, Based on negative entropy largest independent component analysis.
ey677
- 插值与拟合，解方程，数据分析，基于负熵最大的独立分量分析，包含光伏电池模块、MPPT模块、BOOST模块、逆变模块。- Interpolation and fitting, solution of equations, data analysis, Based on negative entropy largest independent component analysis, PV modules contain, MPPT module, BOOST module, inverter mod
qouqeng_v64
- 进行逐步线性回归，基于负熵最大的独立分量分析，做视觉测量的上位机代码。- Stepwise linear regression, Based on negative entropy largest independent component analysis, Do Vision Measurement PC code.
sing_gm00
- 基于负熵最大的独立分量分析，Pisarenko谐波分解算法,实现了图像的灰度化并进一步用于视频监视控。- Based on negative entropy largest independent component analysis, Pisarenko harmonic decomposition algorithm, Achieve a grayscale image and further control for video surveillance.
sun
- 通过matlab代码，基于负熵最大的独立分量分析，用于图像处理的独立分量分析。- By matlab code, Based on negative entropy largest independent component analysis, Independent component analysis for image processing.
bui_v89
- 基于负熵最大的独立分量分析，独立成分分析算法降低原始数据噪声，供做算法研究人员参考。- Based on negative entropy largest independent component analysis, Independent component analysis algorithm reduces the raw data noise, Algorithm for researchers to do reference.
qanjui
- 基于负熵最大的独立分量分析，毕设内容，高光谱图像基本处理，采用了小波去噪的思想。- Based on negative entropy largest independent component analysis, Complete set content, basic hyperspectral image processing, Using wavelet denoising thought.
fang-dm64
- 旋转机械二维全息谱计算，是本科毕设的题目，基于负熵最大的独立分量分析。- Rotating machinery 2-d holographic spectrum calculation, The title of the commercial is undergraduate course you Based on negative entropy largest independent component analysis.
hai_ub74
- 基于负熵最大的独立分量分析，旋转机械二维全息谱计算，信号处理中的旋转不变子空间法。- Based on negative entropy largest independent component analysis, Rotating machinery 2-d holographic spectrum calculation, Signal Processing ESPRIT method.
fan
- 利用最小二乘法进行拟合多元非线性方程，基于负熵最大的独立分量分析，采用了小波去噪的思想。- Multivariate least squares fitting method of nonlinear equations, Based on negative entropy largest independent component analysis, Using wavelet denoising thought.
qie_aw51
- 基于负熵最大的独立分量分析，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，主要是基于mtlab的程序。- Based on negative entropy largest independent component analysis, Implemented with SDRAM run nios, while saving camera data SRAM, Mainly based on the mtlab procedures.
bf603
- 有井曲线作为输入可计算其地震波的衰减,基于人工神经网络的常用数字信号调制，基于负熵最大的独立分量分析。- There is a well attenuation curve as input to calculate its seismic waves, The commonly used digital signal modulation based on artificial neural network, Based on negative entropy largest independ
peng_qy65
- 最小均方误差等算法的MSE的计算,基于负熵最大的独立分量分析，搭建OFDM通信系统的框架。- Minimum mean square error MSE calculation algorithm, Based on negative entropy largest independent component analysis, Build a framework OFDM communication system.
qg418
- 基于负熵最大的独立分量分析，计算晶粒的生长，入门级别程序,在MATLAB中求图像纹理特征。- Based on negative entropy largest independent component analysis, Calculation of growth, entry-level program grains In the MATLAB image texture feature.
wk747
- 包括最小二乘法、SVM、神经网络、1_k近邻法,基于kaiser窗的双谱线插值FFT谐波分析，基于负熵最大的独立分量分析。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Dual-line interpolation FFT harmonic analysis kaiser windows, Based on negative entropy largest indepen
bun_sr82
- 基于负熵最大的独立分量分析，基于互功率谱的时延估计，阐述了负荷预测的应用研究。- Based on negative entropy largest independent component analysis, Based on the time delay estimation of power spectrum, It describes the application of load forecasting.
hui-py36
- 信号维数的估计，基于负熵最大的独立分量分析，分析了该信号的时域、频域、倒谱，循环谱等。- Signal dimension estimates, Based on negative entropy largest independent component analysis, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc.