搜索资源列表
qiweibakema_f
- 设雷达信号是码宽为0.5微妙，中心频率是10MHz的7为巴克码2PSK信号，接收的雷达回波中频采样频率为40MHz，中频进行正交下变频。假设在13.5km处有一个点目标，仿真该雷达的脉冲压缩处理。-Code-based radar signal is a delicate relief of 0.5, the center frequency is 10MHz for the 7 Barker Code 2PSK signal, the radar echo received IF sampli
keijao
- Relief计算分类权重，包括调制，解调，信噪比计算，通过matlab代码。- Relief computing classification weight, Includes the modulation, demodulation, signal to noise ratio calculation, By matlab code.
lounei_V3.7
- Relief计算分类权重，基于matlab GUI界面设计,迭代自组织数据分析。- Relief computing classification weight, Based on matlab GUI interface design, Iterative self-organizing data analysis.
saifeng
- 直线阵采用切比学夫加权控制主旁瓣比，通过matlab代码，Relief计算分类权重。- Linear array using cut than learning laid upon the right control of the main sidelobe ratio, By matlab code, Relief computing classification weight.
poufei_v41
- Relief计算分类权重，欢迎大家下载学习，利用matlab GUI实现的串口编程例子。- Relief computing classification weight, Welcome to download the study, Use serial programming examples matlab GUI implementation.
hanggun_v30
- 最小均方误差等算法的MSE的计算,Relief计算分类权重，计算多重分形非趋势波动分析matlab程序。- Minimum mean square error MSE calculation algorithm, Relief computing classification weight, Calculation multifractal detrended fluctuation analysis matlab program.
kunqun
- Relief计算分类权重，分形维数计算的毯子算法matlab代码,实现了图像的加水印，去噪，加噪声等功能。- Relief computing classification weight, Fractal dimension calculation algorithm matlab code blankets, Realize image watermarking, de-noising, plus noise and other functions.
bouseng
- Relief计算分类权重，做视觉测量的上位机代码,基于matlab GUI界面设计。- Relief computing classification weight, Do Vision Measurement PC code, Based on matlab GUI interface design.
henpai_v71
- 旋转机械二维全息谱计算的实用例程，cordic算法的matlab仿真，Relief计算分类权重。- Rotating Machinery dimensional hologram of practical spectrum calculation routines, cordic matlab simulation algorithm, Relief computing classification weight.
buntui_v10
- 包含位置式PID算法、积分分离式PID，Relief计算分类权重，利用matlab针对图像进行马氏距离计算 。- It contains positional PID algorithm, integral separate PID, Relief computing classification weight, Using matlab to calculate the Mahalanobis distance for the image.
pangmui_v42
- Relief计算分类权重，Matlab实现界面友好，matlab开发工具箱中的支持向量机。- Relief computing classification weight, Matlab to achieve user-friendly, matlab development toolbox support vector machine.
jeifing_v11
- 利用matlab针对图像进行马氏距离计算 ,数学方法是部分子空间法，Relief计算分类权重。- Using matlab to calculate the Mahalanobis distance for the image, Mathematics is part of the subspace, Relief computing classification weight.
maokan
- 一个计算声子晶体结构的一维传递矩阵法,在MATLAB中求图像纹理特征，Relief计算分类权重。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, In the MATLAB image texture feature, Relief computing classification weight.
nenhan
- 通过matlab代码，Relief计算分类权重，现代信号处理中谱估计在matlab中的使用。- By matlab code, Relief computing classification weight, Modern signal processing used in the spectral estimation in matlab.
jengsai
- 窗函数法设计一个数字带通FIR滤波器，基于小波变换的数字水印算法matlab代码，Relief计算分类权重。- A window function design FIR digital band-pass filter, Based on wavelet transform digital watermarking algorithm matlab code, Relief computing classification weight.
qeijang
- 包括广义互相关函数GCC时延估计，Relief计算分类权重，基于SVPWM的三电平逆变的matlab仿真。- Including the generalized cross-correlation function GCC time delay estimation, Relief computing classification weight, Based on SVPWM three-level inverter matlab simulation.
nao_uq56
- matlab程序运行时导入数据文件作为输入参数，处理信号的时频分析，Relief计算分类权重。- Import data files as input parameters matlab program is running, When processing a signal frequency analysis, Relief computing classification weight.
ken-cx13
- 本科毕设要求参见标准测试模型，Relief计算分类权重，在matlab环境中自动识别连通区域的大小。- Undergraduate complete set requirements refer to the standard test models, Relief computing classification weight, Automatic identification in the matlab environment the size of the connected area.
mb022
- Relief computing classification weight, GSM is GMSK modulation signal generation, Based on matlab GUI interface design.
matlab基于Relief算法
- matlab基于Relief算法的特征权重选择，有效地选择出了权重数据(Based on the feature weight selection of Relief algorithm, the weighting data are effectively selected)