资源列表
dandao
- matlab 编写的 弹道模型的在几种滤波器下的目标跟踪，包含几种滤波器的性能对比-trajectory model matlab prepared several filters in the target tracking, contains several filter performance comparison
dsp
- 随机过程： ，其中 是均值为零、方差为1的白噪声， 、 是相互独立并在 上服从均匀分布的随机相位。采用AIC和MDL准则估计信号源个数，并且画出相应的MUSIC频率估计谱线。 要求：信号样本数为1000，估计的自相关矩阵为8阶。 -Stochastic process: where is zero mean and variance 1 white noise, are independent and uniformly distributed on a random phase. Es
juanji
- 卷积积分的MATLAB实现 相关函数与卷积的关系及MATLAB实现 通过实验熟悉自相关和互相关性质在周期信号识别、延迟信号检测、CDMA中的应用。-Convolution integral correlation function of MATLAB and MATLAB convolution relationship through experiments familiar autocorrelation and cross correlation properties of the p
xinhaochouyang
- 信号的频域分析及应用 熟悉调制信号功率谱的计算及调制过程的频谱搬移现象； 观察多路调制信号的时域与频域的波形，熟悉FDMA频分多路复用的特点-Signal in the frequency domain analysis and application of familiarity modulated signal power spectrum calculation and spectrum modulation process moving phenomenon observe the
pinyufenxi
- 信号的抽样及抽样定理 加深理解连续时间信号的离散化过程中的数学概念和物理概念，掌握时域抽样定理的基本内容，观察取样信号的频谱混叠现象；-Signal sampling and sampling theorem to deepen understanding of the discrete-time signal continuous process of mathematical concepts and physical concepts, time domain sampling the
batchglcm
- 有关于医学图像的纹理特征提取，希望对大家有用-About the medical image texture feature extraction, in the hope that useful to everybody
mmse_mrf_demo-1.1
- 图像去噪-A Generative Perspective on MRFs in Low-Level Vision-A Generative Perspective on MRFs in Low-Level Vision Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative
compressedsensingbasiccode
- This a basic Compressive sensing code. Signal is sparse in fourier domain.-This is a basic Compressive sensing code. Signal is sparse in fourier domain.
MDS-MAP
- MDS-MAP定位演算法，內含模擬使用者路徑，模擬不同人數下MDS-MAP算法及RSSI等相關定位算法-MDS-MAP localization algorithm that includes simulated user paths to simulate different number next MDS-MAP algorithm and RSSI location algorithm and other related
deblurring_demo-1.0
- Bayesian Deblurring with Integrated Noise Estimation-Bayesian Deblurring with Integrated Noise Estimation Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequenc
genPredictors
- generate predictors for load forecasting
lvboqi
- 功率谱分析。。带通滤波器。分离三个正弦+随机信号-Power spectrum analysis. . Bandpass filter. Random signal separation three sine+