搜索资源列表
MPPOMP
- 自己写的MP和OMP算法，用于一维信号重建，两者的测试信号相同，可用于对比，适用于初学者。-Write their own MP and OMP algorithm for one-dimensional signal reconstruction, both of the same test signal can be used for comparison, suitable for beginners.
InertialNavigation
- 惯性导航测试程序，根据输入的六轴传感器信号，机型轨迹重建-Inertial navigation test procedures, according to the six-axis sensor input signal, the model trajectory reconstruction
nonrebuild
- 用循环矩阵求逆非均匀窄带信号的重建方法，给出了仿真结果-rebuilding of band signal with the method of inverse the recycle array
wavelet-rebult
- 根据小波变换后的模极大值 重建原始信号-To reconstruct the original signal based on wavelet transform modulus maxima
txys
- 压缩感知的获取与重建，信号的稀疏表示，测量矩阵，重建算法-Compressed sensing acquisition and reconstruction
fangzhen
- MP和OMP算法对一维信号的重建算法研究-MP and OMP algorithm for one-dimensional signal reconstruction algorithm
3
- 采用db4小波实现一维信号的分解与重建：-Achieved using one-dimensional signal db4 wavelet decomposition and reconstruction:
7
- 采用db4小波实现一维信号的分解与重建(à trous算法)：-Achieved using one-dimensional signal db4 wavelet decomposition and reconstruction (trous algorithm):
OMP
- 正交匹配追踪是压缩感知中重建算法的一种，能够以高概率重建原始信号-Image Denoising Via Learned Dictionaries and Sparse representation Image Denoising Via Learned Dictionaries and Sparse representation Image Denoising Via Learned Dictionaries and Sparse representation
SAMP1
- 能对压缩感知中的稀疏度未知的信号精确的重建，重建误差小，经本人调试，完全正确-Capable of compressed sensing signals unknown sparsity accurate reconstruction, reconstruction error is small, after I debug, completely correct
Wavelet-maxima-reconstruction
- 用来进行小波分析中寻找极大值线且用极大值来进行信号的重建-It can help you find the wave maxline and it can use maxnumber reconstructure the sign
reconstruction-of-source-signals
- 利用小波变换极大值，重建源信号。包含主程序和三段子功能函数，使用小波变换进行六级分解，求出模极大值，并利用这些极大值重建源信号。-Using the wavelet transform maximum and reconstruction of source signals.Contains the main program and three jokes functions, six levels of decomposition using the wavelet transform and
ESA.tar
- 压缩感知技术，信号重建matlab程序代码。matlab2010b-compress sensing
SL0andOMP
- SL0算法是一种基于近似L0范数的压缩感知信号重建算法,它采用最速下降法和梯度投影原理,逐步逼近最优解,具有匹配度高、重建时间短、计算量低、不需要信号的稀疏度这个先验条件等优点。-SL0 algorithm is an approximate L0 norm based compressed sensing signal reconstruction algorithm, which uses the steepest descent method and gradient projection
example_pr_2D_FFT_line_sensor
- 本程序利用K-wave实现了用一维线性阵列探测器采集到的光声信号数据完成2维光声图像重建。-This program implements the use of K-wave one-dimensional linear array detector photoacoustic signals collected data to complete two-dimensional photoacoustic image reconstruction.
Design-a-CQMFB
- 设计一CQMFB，低通滤波器H_0 (z)来自一半带滤波器。该半带滤波器的长度为47，通带截止频率ω_p=0.42π，试给出H_0 (z)，H_1 (z)，G_0 (z)，G_1 (z)的幅频响应，单位抽样响应并画图。试着产生一信号，它由两个正弦加白噪声组成，一个在低频，一个在高频，正弦的频率及和白噪声的信噪比自己给定。试用所设计的滤波器组对该信号进行分解和重建。比较重建后的效果，并对结果继续进行分析。-Design a CQMFB, low pass filter H_0 (z) the h
OMP
- 压缩感知 空域稀疏信号 精确恢复重建 匹配追踪算法 -compressive sensing sparse spatial signal orthogonal matching pursuit
quxian2
- 压缩感知一维信号的重建代码，用于不同M值下的一维信号曲线的观察-The reconstruction of compressed sensing one-dimensional signal for the observation of one-dimensional signal curves under different M values
CS
- 压缩感知matlab代码及北京交通大学论文《用于压缩感知信号重建的算法研究》-Compressed sensing matlab code, and Beijing jiaotong university papers for compressed sensing signal reconstruction algorithm research
Compressed-sensing-HK
- 压缩感知信号重构的算法，用于学习，先稀疏，再观测系数，最后重建- compression algorithm used to study and review, thin, and observation of the reconstruction and