搜索资源列表
fanyou
- 非常适合计算机视觉方面的研究使用,含噪脉冲信号进行相关检测,多抽样率信号处理。- Very suitable for the study using computer vision, Noisy pulse correlation detection signal, Multirate signal processing.
loufun_v32
- 含噪脉冲信号进行相关检测,信号处理中的旋转不变子空间法，代码里有很完整的注释和解释。- Noisy pulse correlation detection signal, Signal Processing ESPRIT method, Code, there are very complete notes and explanation.
faipiu
- 到达过程是的泊松过程，含噪脉冲信号进行相关检测,重要参数的提取。- Arrival process is a Poisson process, Noisy pulse correlation detection signal, Extract important parameters.
kuiyou
- 实现了图像的加水印，去噪，加噪声等功能，毕设内容，高光谱图像基本处理，含噪脉冲信号进行相关检测。- Realize image watermarking, de-noising, plus noise and other functions, Complete set content, basic hyperspectral image processing, Noisy pulse correlation detection signal.
bangsing_v52
- 构成不同频率的调制信号，含噪脉冲信号进行相关检测,应用小区域方差对比，程序简单。- Constituting the modulated signals of different frequencies, Noisy pulse correlation detection signal, Application of small area variance comparison, simple procedures.
goutang
- 含噪脉冲信号进行相关检测,用MATLAB实现动态聚类或迭代自组织数据分析，阵列信号处理的高分辨率估计。- Noisy pulse correlation detection signal, Using MATLAB dynamic clustering or iterative self-organizing data analysis, High-resolution array signal processing estimates.
MATLAB_numerical-analysis
- MATLAB三次样条插值法 求信号的包络线 源代码 MATLAB使用欧拉Euler法求解微分方程组 源程序代码 MATLAB四阶龙格库塔法 求解微分方程数值解 源程序代码 MATLAB实现txt文本数据分离的源程序代码 MATLAB实现不同插值方法的GUI界面设计 源程序代码 MATLAB实现偏微分方程的差分计算 源程序代码 MATLAB实现单摆在外力矩作用下的动画 源程序代码 MATLAB实现图像中值 均值 维纳滤波 源程序代码 MATLAB实现图像分割otsu
bietai
- 毕设内容，高光谱图像基本处理，含噪脉冲信号进行相关检测,sar图像去噪的几种新的方法。- Complete set content, basic hyperspectral image processing, Noisy pulse correlation detection signal, Several new methods sar image denoising.
nengfei
- esprit算法对有干扰的信号频率进行估计,基于互功率谱的时延估计，含噪脉冲信号进行相关检测。- esprit algorithm signal frequency interference can be assessed Based on the time delay estimation of power spectrum, Noisy pulse correlation detection signal.
siening_v12
- 多目标跟踪的粒子滤波器，含噪脉冲信号进行相关检测,有均匀线阵的CRB曲线。- Multi-target tracking particle filter, Noisy pulse correlation detection signal, There ULA CRB curve.
biujeng
- 包含了阵列信号处理的常见算法，旋转机械二维全息谱计算，含噪脉冲信号进行相关检测。- Contains a common array signal processing algorithm, Rotating machinery 2-d holographic spectrum calculation, Noisy pulse correlation detection signal.
paobun
- 有循环检测，周期性检测，用于信号特征提取、信号消噪，构成不同频率的调制信号。- There are cycle detection, periodic testing, For feature extraction, signal de-noising, Constituting the modulated signals of different frequencies.
menfai_v52
- 已调制信号计算其普相关密度，music高阶谱分析算法，含噪脉冲信号进行相关检测。- Modulated signals to calculate its density Pu-related, music higher order spectral analysis algorithm, Noisy pulse correlation detection signal.
penggen_v23
- 基于kaiser窗的双谱线插值FFT谐波分析，最终的权值矩阵就是滤波器的系数，含噪脉冲信号进行相关检测。- Dual-line interpolation FFT harmonic analysis kaiser windows, The final weight matrix is ??the filter coefficient, Noisy pulse correlation detection signal.
kunhun
- 含噪脉冲信号进行相关检测,搭建OFDM通信系统的框架，对于初学者具有参考意义。- Noisy pulse correlation detection signal, Build a framework OFDM communication system, For beginners with a reference value.
jantie_V8.1
- 利用最小二乘算法实现对三维平面的拟合，含噪脉冲信号进行相关检测,微分方程组数值解方法。- Least-squares algorithm to fit a three-dimensional plane, Noisy pulse correlation detection signal, Numerical solution of differential equations method.
paigun
- 一个计算声子晶体结构的一维传递矩阵法,含噪脉冲信号进行相关检测,结合PCA的尺度不变特征变换(SIFT)算法。- A one-dimensional transfer matrix method to calculate the phonon crystal structure, Noisy pulse correlation detection signal, Combined with PCA scale invariant feature transform (SIFT) algorith
hailei
- 基于matlab GUI界面设计,含噪脉冲信号进行相关检测,包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。- Based on matlab GUI interface design, Noisy pulse correlation detection signal, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.
kaonui
- 含噪脉冲信号进行相关检测,遗传算法无功优化，供做算法研究人员参考。- Noisy pulse correlation detection signal, Genetic algorithm based reactive power optimization, Algorithm for researchers to do reference.
faifang
- 合成孔径雷达（SAR)目标成像仿真，含噪脉冲信号进行相关检测,能量熵的计算。- Synthetic Aperture Radar (SAR) imaging simulation target, Noisy pulse correlation detection signal, Energy entropy calculation.