spectral_clustering

matlab编程实现从东北天坐标系到地心坐标系的坐标转换，包含了资料文件。调用函数名为：ENVtoECEF，输入参数为东北天原点经纬度数据，东北天坐标点数据；输出数据是东北天坐标系下坐标点对应的经纬高数据。(matlab programming from the northeast sky coordinate system to the geocentric coordinate system conversion, including the data file. Call the function named: ENVtoECEF, input parameters for the origin of latitude and longitude data northeastern days, Northeast day coordinate data output data is northeast days coordinates of latitude and longitude coordinates of points corresponding to the high data.)

广义最小方差自校正控制：在求解控制律的性能指标中引入对控制量的加权项，限制控制作用中的剧烈变化。(Generalized minimum variance self-tuning control: control the amount of weighted items, solving the performance of the control law introduced to limit the dramatic changes in the control action.)

分别使用MVDR、Root-Music和ESPRIT三种方法对信号频率估计进行仿真实验，其中噪声为复正弦加性白噪声，给出正弦信号频率的估计值。(Using MVDR, Root- Music and ESPRIT three methods to estimate the signal frequency simulation experiment respectively, which is suitable for complex sinusoidal additive white noise noise, sine signal frequency estimate is given.)

采用MAtlab编写的小波变换程序，用于小波的产生，通过给定参量值就可得到结果(Prepared using Matlab wavelet transform procedures for the selection of wavelet through a given parameter can be the result of money)

文章展示了基于高斯混合模型的语音频谱预测方法。频谱预测可能在传包过程中预防丢包这方面起到大作用。期望最大化算法用两倍或三倍的连续语音因素来测试模型。模型被用来设计第一，儿等指令预测量。预测表用频谱分配状态来估计并和一个简单的参考模型对比。最好的预测表得到一个平均频率扭曲值是0.46dB小于参考模型(This paper presents methods for speech spectrum prediction based on Gaussian mixture models. Spectrum prediction may be useful in a packet transmission system where the sensitivity to packet losses is a major problem. Models of speech are trained by the Expectation Maximization algorithm using pairs, triples etc. of consecutive cepstral vectors. The models are used to design first, second etc. order predictors. The prediction schemes are evaluated using the spectral distortion criterion and compared to a simple reference method. The best prediction scheme obtains an average spectral distortion that is 0.46 dB less than for the reference method. )

In this code, the BER performance of a system which uses sparse channel estimation is compared with a system which uses LSE channel estimation. It is shown that using sparse technique improves the performance of the system

共振解调法诊断轴承损伤类故障的原理概述如下:当轴承某一元件表面出现局部损伤时，在受载运行过程中要撞击与之相互作用的其它元件表面，产生冲击脉冲力，由于冲击脉冲力的频带很宽，必然包含轴承外圈、传感器甚至附加的谐振器等的固有频率而激起这个测振系统的高频固有振动。根据实际情况可以选择某一高频固有振动作为研究对象，通过中心频率等于该固有频率的带通滤波器把该固有振动分离出来。然后进行包络解调，去除高频衰减振动的频率成分，得到只包含故障特征信息的低频包络信号，对这一包络信号进行频谱分析便可以容易地诊断出轴承的故障来。(The principle of resonance demodulation method in the diagnosis of bearing damage such failure overview is as follows: when the bearing surface of a local damage, in the process of loading operation to hit with other elements of the interaction of surface, impact pulse power, due to the impact pulse frequency band is very wide, inevitably contains the bearing outer ring, sensors and even additional resonator and stir up the natural frequency of the vibration system of the high frequency vibration mode.A high frequency vibration mode can be selected according to actual situation as the research object, through the center frequency is equal to the natural frequency of the bandpass filter to separate the natural vibration.Then envelope demodulation, frequency components to remove the high frequency vibration attenuation, get only includes fault feature information of low frequency envelope signal, the envelope signal spectrum analysis can be easily diagnosed bearing failure.)

关于双向中继信道不完美条件下的中断概率性能分析的实例代码，研究生学习时可以借鉴下哦(This is a analysis example about outage probability performance in two-way relay channel under inperfect condition.)

这是一个LZW解压的matlab子函数程序和主函数，要结合我第一个上传的LZW压缩来看，这样有助于理解，效果很少明显，压缩率80 以上，不懂的跟我联系，我交你！！！我弄懂了！(It is a realisation of lzw decompression.Its compression ratio is beyond 80 .Its compression source is the first file which I have uploaded.If you have some questions,you can contact with me.)

用打靶法求解小车运动轨迹,求解非线性问题(solve the car s track by the shooting method)