利用奇异值分解方法对振动信号进行降噪处理，提高信噪比，获得信号中感兴趣的成分，为后续信号处理过程做准备
The singular value decomposition method is used to reduce the noise of the vibration signal, improve the signal-to-noise ratio, obtain the components of interest in the signal, and prepare for the subsequent signal processing process (2020-07-11, matlab, 32KB, 下载27次)
一般信道容量迭代算法
（1）初始化信源分布：P^((0))=(p_(1 ),p_(2 ),…,p_(i ),…,p_r)，置迭代计数器k=0，设信道容量相对误差门限为δ，δ>0，可设C(0)=-∞；
（2）φ_ji^((k))=(p_ij p_i^((k)))/(∑p_ij p_i^((k)) ) i=1,…,r;j=1,…,s；
（3）p_i^((k+1) )=exp?[∑_j?〖p_ij lnφ_ji^((k)) 〗]/(∑_i?〖{exp?[∑_j?〖p_ij lnφ_ji^((k)) 〗]}〗) i=1,…,r；
（4）C^((k+1))=ln∑_i?〖{exp?[∑_j?〖p_ij lnφ_ji^((k)) 〗]}〗；
（5）如果，
(|C^((k+1) )-C^((k)) |)/C^((k+1)) ≤δ，
转向（7）；
（6）否则，置迭代符合 k+1→k，转向（2）；
（7）输出p_i^((k+1) )和C^((k+1))；
（8）停止。
General channel capacity iterative algorithm (2020-05-21, matlab, 1KB, 下载1次)
在单径瑞利信道中,设计一种时分的导引辅助的信道估计方法,用Simulink进行仿真,测量BPSK的误码率性能,画出比特信噪
In single-path Rayleigh channel, a time-division guidance-assisted channel estimation method is designed and simulated with Simulink to measure the bit-error-rate performance of BPSK and to draw the bit-to-noise ratio. (2019-03-27, matlab, 146KB, 下载1次)
Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax
Colourhistogram
II. TEXTURE FEATURE EXTRACTION IN CBIR
An overview of the proposed CBIR system is illustrated
in Fig. 1. The proposed algorithm, Label Wavelet Transform
(LWT), is based on color image segmentation [1], and it is
an extension of DWT-based texture feature extraction method.
The 2-D DWT is computed by applying separable filter banks
to the gray level images. The detail images Dn,1, Dn,2,
and Dn,3 are obtained by band-pass filtering in a specific
direction, and they can be categorized into three frequency
bands: HL, LH, HH band, respectively. Each band contains
different directional information at scale n. The texture feature
is extracted from the variance (ó2
n,i) of the coefficients cn,i of
the detail image Dn,1, Dn,2, and Dn,3 at different scale n.To
represent the texture feature of an image q, the texture feature
vector of DWT is defined as [2]:
TDWT (q) = [ó2
1,1, ó2
1,2, ó2
1,3, ..., ó2N
max,3], (1)
where Nmax denotes the largest scale. In this work, Nmax (2013-11-19, matlab, 1KB, 下载8次)
带干扰的直接序列扩频通信系统,PN码由m序列产生器产生，经过高斯白噪声信道。在接收端接收到的信号包括“有用信号+高斯白噪声+干扰”，将接收信号进行解扩，判决，得到用户的信号检测结果，绘制不同的扩频增益（增益值为10，30，50）下，误比特率随信噪比Eb/N0的变化曲线。
the direct sequence spread spectrum with interference communication system (2010-03-13, matlab, 9KB, 下载237次)