LMS

代码为对OFDM调制信号使用LS信道估计算法的仿真代码(Code for the use of OFDM modulation signal LS channel estimation algorithm for the simulation code)

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)

谱聚类matlab代码，聚类分析可用，内附简单实验及部分参考论文，代码可自行修改，精度可调(Matlab code for spectral clustering , enclosed a simple experiment, which can be modified. Accuracy of sigma is adjustable.)

Diferent High pass Image Filters, as HoG, Laplacian

利用TDOA/AOA定位方法采用扩展卡尔曼滤波定位算法的matlab程序仿真代码(Rotary breath TDOA/AOA ADPL a few breath-kyu Okuma system lackey touch Chlamys扂Tuo Magians Association of Ma Okuma matlab shell you will泦Flag Eagle Drive)

语音对数谱，语谱图，倒谱的代码，自己编写的，可以运行(Speech log spectrum, the spectrogram, cepstrum of the code, I have written, you can run)

用于特征降维，特征融合，相关分析等,抑制载波型差分相位调制，合成孔径雷达（SAR)目标成像仿真。( For feature reduction, feature fusion, correlation analysis, Suppressed carrier type differential phase modulation, Synthetic Aperture Radar (SAR) imaging simulation target.)

为了提高使用精度，研究了某型号MEMS陀螺仪的随机漂移模型。采用游程检验法分析了 该陀螺仪随机漂移数据的平稳性，并根据该漂移为均值非平稳、方差平稳的随机过程的结论， 采用梯度径向基（RBF）神经网络对漂移数据进行了建模。实验结果表明：相比经典RBF网络模 型而言，这种方法建立的模型能更好地描述MEMS陀螺仪的漂移特；相对于季节时间序列模型而 言，其补偿效果提高了大约15％。(In order to improve accuracy, to study a particular model of the MEMS gyroscope random drift model. Using run-length analysis of the test gyro random drift data stationarity, and in accordance with the drift for the average non-stationary, the variance of the random process a smooth conclusion, the use of gradient radial basis (RBF) neural network drift data to build mode. The experimental results show that: compared to the classical RBF network model, this method of establishing a model to better describe the MEMS gyroscope drift special compared with the seasonal time series model, the effect of their compensation increased by approximately 15.)

I have thoroughly study the basic of image compression techniques. From that I have selected SPIHT algorithm for my research work. I have implemented on image compression for gray images using SPIHT algorithm. Image compression is implemented using this algorithm has better result over the previous result on gray images and also improved PSNR value high but on other side low result on compression ratio.

关于永磁电机的无速度传感器控制，是基于模型参考自适应(it s a mdl project based on matlab.)