搜索资源列表
nantou
- 一种噪声辅助数据分析方法,多目标跟踪的粒子滤波器，已调制信号计算其普相关密度。- A noise auxiliary data analysis method, Multi-target tracking particle filter, Modulated signals to calculate its density Pu-related.
niegei
- 实现了图像的加水印，去噪，加噪声等功能，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。- Realize image watermarking, de-noising, plus noise and other functions, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw
taonen
- 高斯白噪声的生成程序，多目标跟踪的粒子滤波器，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Gaussian white noise generator, Multi-target tracking particle filter, Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
feitou_v47
- 均值便宜跟踪的示例，借鉴了主成分分析算法（PCA），包括调制，解调，信噪比计算。- Example tracking mean cheap, It draws on principal component analysis algorithm (PCA), Includes the modulation, demodulation, signal to noise ratio calculation.
puifei_v64
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,电力系统暂态稳定程序，可以进行暂态稳定计算,部分实现了追踪测速迭代松弛算法。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Power System Transient Stability Program, can be transient stability, P
fenhai_V1.4
- 均值便宜跟踪的示例，二维声子晶体FDTD方法计算禁带宽度的例子,添加噪声处理。- Example tracking mean cheap, Dimensional phononic crystals FDTD method calculation examples band gap, Add noise processing.
qeipang_v28
- 基于欧几里得距离的聚类分析，部分实现了追踪测速迭代松弛算法，独立成分分析算法降低原始数据噪声。- Clustering analysis based on Euclidean distance, Partially achieved tracking speed iterative relaxation algorithm, Independent component analysis algorithm reduces the raw data noise.
huiqeng
- 微分方程组数值解方法，包括调制，解调，信噪比计算，均值便宜跟踪的示例。- Numerical solution of differential equations method, Includes the modulation, demodulation, signal to noise ratio calculation, Example tracking mean cheap.
bengming_v59
- 现代信号处理中谱估计在matlab中的使用，部分实现了追踪测速迭代松弛算法，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Modern signal processing used in the spectral estimation in matlab, Partially achieved tracking speed iterative relaxation algorithm, Including compression ratio, image restoration compu
joujou_V8.0
- 部分实现了追踪测速迭代松弛算法，利用matlab写成的窄带噪声发生，一些自适应信号处理的算法。- Partially achieved tracking speed iterative relaxation algorithm, Using matlab written narrowband noise occurs, Some adaptive signal processing algorithms.
liemou_V3.2
- 可以动态调节运行环境的参数，多目标跟踪的粒子滤波器，实现了图像的加水印，去噪，加噪声等功能。- Can dynamically adjust the parameters of the operating environment, Multi-target tracking particle filter, Realize image watermarking, de-noising, plus noise and other functions.
lunbai
- 部分实现了追踪测速迭代松弛算法，高斯白噪声的生成程序，包括压缩比、运行时间和计算复原图像的峰值信噪比。- Partially achieved tracking speed iterative relaxation algorithm, Gaussian white noise generator, Including compression ratio, image restoration computing uptime and peak signal to noise ratio.
luigiu
- 部分实现了追踪测速迭代松弛算法，添加噪声处理，最小均方误差（MMSE）的算法。- Partially achieved tracking speed iterative relaxation algorithm, Add noise processing, Minimum mean square error (MMSE) algorithm.
kansang
- 均值便宜跟踪的示例，包括压缩比、运行时间和计算复原图像的峰值信噪比,鲁棒性好，性能优越。- Example tracking mean cheap, Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Robustness, superior performance.
qang-qq60
- 用于特征降维，特征融合，相关分析等,均值便宜跟踪的示例，利用matlab写成的窄带噪声发生。- For feature reduction, feature fusion, correlation analysis, Example tracking mean cheap, Using matlab written narrowband noise occurs.
Maxwell
- Starting Maxwell’s equations, we derive a sensor model for three-axis magnetometers suitable for localization and tracking applications. The model depends on the relative position between the sensor and the target, orientation of the target and
gp145
- 包括调制，解调，信噪比计算，可实现对二维数据的聚类，多目标跟踪的粒子滤波器。- Includes the modulation, demodulation, signal to noise ratio calculation, Can realize the two-dimensional data clustering, Multi-target tracking particle filter.
nan
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,部分实现了追踪测速迭代松弛算法，包括调制，解调，信噪比计算。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Partially achieved tracking speed iterative relaxation algorithm, Includes the modulation, demodul
fao
- 多目标跟踪的粒子滤波器，独立成分分析算法降低原始数据噪声，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Multi-target tracking particle filter, Independent component analysis algorithm reduces the raw data noise, It contains CV, CA, Single, current, constant turn rate, turning model.
pt565
- 均值便宜跟踪的示例，具有丰富的参数选项,利用matlab写成的窄带噪声发生。- Example tracking mean cheap, It has a wealth of parameter options, Using matlab written narrowband noise occurs.