PSOPID

说明：  人脸检测，能用于单人和多人脸图的检测识别，效果不错。(Face detection,It can be used in the detection and recognition of single face and multi face images with good effect.)

本程序重构各层低频和高频系数，画功率谱，横坐标为频率，纵坐标为功率，小波包分解最后一句是为显示小波包四层分解树结构(Reconstruction of the procedural layers of low and high frequency coefficients, draw power spectrum, the abscissa is the frequency, the vertical axis is power, wavelet packet decomposition is the last sentence of four to show the wavelet packet decomposition tree)

Following code converts given video (in.avi) to QVGA (320x240) resolution video (out.avi). This example shows how to use video related functions in MATLAB.

说明：  在地球科学中，误差分析非常实用，这里提供测地学常用的误差分析代码(Error Ellipses in Geodesy)

当空间调制（sm）系统中每个符号含有3bits信息(即3bit/s/Hz的频谱利用率)时我们选择：4根发送天线，BPSK调制方式和2根发送天线，4QAM调制方式进行比较。(When the spatial modulation (sm) system, each symbol comprising 3bits information (i.e. 3bit/s/Hz spectral efficiency) when we choose: four transmitting antennas, BPSK modulation method and two transmission antennas, 4QAM modulation for comparison.)

single phase full control converter rle load

Photos with people (e.g., family, friends, celebrities, etc.) are the major interest of users. Thus, with the exponentially growing photos, large-scale content-based face image retrieval is an enabling technology for many emerging applications. In this work, we aim to utilize automatically detected human attributes that contain semantic cues of the face photos to improve contentbased face retrieval by constructing semantic codewords for efficient large-scale face retrieval. By leveraging human attributes in a scalable and systematic framework, we propose two orthogonal methods named attribute-enhanced sparse coding and attributeembedded inverted indexing to improve the face retrieval in the offline and online stages. We investigate the effectiveness of different attributes and vital factors essential for face retrieval. Experimenting on two public datasets, the results show that theproposed methods can achieve up to 43.5 relative improvement in MAP compared to the existing methods.

this is matlab codes for t-norms

Single input single output matlab simulation code.

说明：  对不稳定数据进行去趋势处理，得到平滑拟合曲线。(The unstable data were de trended to obtain a smooth fitting curve.)