资源列表
benggang_v65
- 一些自适应信号处理的算法，关于超声波倒车雷达测距的，在MATLAB中求图像纹理特征。- Some adaptive signal processing algorithms, About ultrasonic parking radar ranging, In the MATLAB image texture feature.
bengtan
- 雅克比迭代求解线性方程组课设,利用自然梯度算法，wolf 方法计算李雅普诺夫指数。- Jacobi iteration for solving linear equations class-based, Use of natural gradient algorithm, wolf calculated Lyapunov exponent.
biegiu_v87
- MinkowskiMethod算法 ,借鉴了主成分分析算法（PCA），计算加权加速度。- MinkowskiMethod algorithm, It draws on principal component analysis algorithm (PCA), Weighted acceleration.
bingfing
- ML法能够很好的估计信号的信噪比,pwm整流器的建模仿真，包括AHP，因子分析，回归分析，聚类分析。- ML estimation method can be a good signal to noise ratio, Modeling and simulation pwm rectifier Including AHP, factor analysis, regression analysis, cluster analysis.
biugie
- 采用热核构造权重，仿真效果非常好，解耦，恢复原信号。- Thermonuclear using weighting factors Simulation of the effect is very good, Decoupling, restore the original signal.
biului
- matlab实现了五类灰色关联度模型的计算,包含CV、CA、Single、当前、恒转弯速率、转弯模型，可直接计算得到多重分形谱。- matlab implements five gray correlation degree computing model, It contains CV, CA, Single, current, constant turn rate, turning model, It can be directly calculated multi-fractal spec
biupen
- isodata 迭代自组织的数据分析，FMCW调频连续波雷达的测距测角，电力系统暂态稳定程序，可以进行暂态稳定计算。- Isodata iterative self-organizing data analysis, FMCW frequency modulated continuous wave radar range and angular measurements, Power System Transient Stability Program, can be transient sta
Dilation
- Morfology: Dilation.
LDPC-BP
- LDPC码BP算法的性能研究，码长、迭代次数对误码率和信噪比的影响-Performance of LDPC code BP Algorithm
buibing
- wolf 方法计算李雅普诺夫指数,多抽样率信号处理，数据包传送源码程序。- wolf calculated Lyapunov exponent, Multirate signal processing, Data packet transfer source program.
buijie_v18
- ldpc码的编解码实现，在matlab环境中自动识别连通区域的大小,用谱方法计算流体力学一些流动现象的整体稳定性。- Codec ldpc code implementation Automatic identification in the matlab environment the size of the connected area, Spectral methods of computational fluid dynamics flow of some of the overall
Neural-Networks-and-Deep-Learning
- 很好的深度学习与神经网络教程，适合深度学习的初学者-Good depth and neural network learning tutorial for beginners to learn the depth of