knn_self

可以用来实现常规发电系统停运容量表的生成(Can be used for the generation of conventional power generation system outage capacity table )

talk about Harris algorithm

构造了一个无尺度的复杂网络,并计算出了其聚类系数的值(Construct a complex scale-free networks, and calculate the value of its clustering coefficient )

本源程序是用MALAB编写，并且主要是从图像处理方面研究的(The source code is written using MALAB, and mainly from the study of image processing)

bpsk解调的MATLAB源程序，已通过运行(MATLAB source bpsk demodulation has by running the)

OFDM At AWGN CHANEL

对声音信号进行处理，通过播放来检验处理效果，采用维纳滤波法进行滤波。有详细注解(voice signal processing, using weina.)

采用matlab编写的关于当 L=64时，为求得在均匀量化时的最优步长(Prepared by the use of matlab when L = 64 when, in order to achieve the optimal uniform quantization step size at the time of)

用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图(fft analysis,plot rms spectrum,power density spectrum, etc.)

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.