TSPconvhull

上数字信号处理课程初期 自己用matlab写的几个数字信号处理的函数 仅供参考哈 (Early on digital signal processing program to write their own use matlab function of several digital signal processing for reference only Kazakhstan)

应用DSP集成开发环境CCS，并用TMS320VC5416开发板来实现FIR数字滤波。旨在熟悉FIR和IIR滤波器的原理及设计流程，学习使用MATLAB设计数字滤波器，熟悉CCS软件使用方法，并了解DSP集成开发环境的使用和特点。(Application of DSP integrated development environment CCS, and with the development board to achieve TMS320VC5416 FIR digital filter. FIR and IIR filters designed to be familiar with the principles and design process, learning to use the MATLAB digital filter design, familiar with CCS software to use and understand the use and characteristics of DSP integrated development environment.)

Localization of coherent signals without source number knowledge in unknown spatially correlated Gaussia

说明：  小波改进阈值去噪，并分析去噪后信号的信噪比和均方误差(Improving threshold denoising by wavelet transform and analyzing signal-to-noise ratio and mean square error of denoised signal)

说明：  基于变步长LMS在干扰抵消中的应用，其中key1，2，3为不同变步长的MATLAB程序，而pinyu则是LMS在频域中的应用，(Variable Step Size LMS-based interference cancellation in the application, which key1, 2,3 for different variable step size of MATLAB procedures pinyu is LMS in frequency domain applications,)

Principal component analysis (PCA) is a popular tool for linear dimensionality reduction and feature extraction. Kernel PCA is the nonlinear form of PCA, which is promising in exposing the more complicated correlation between original high-dimensional features. In this paper, we first talk about the basic ideas of PCA and kernel PCA, and then focus on the reconstruction of pre-images for kernel PCA. We also give an introduction on how PCA is used in active shape models (ASMs), and discuss how kernel PCA can be applied to improve traditional ASMs. Then we show some experiment results to compare the performance of kernel PCA and traditional PCA for pattern classification. We also implement the kernel PCA-based ASMs, and use it to construct human face models.

MatLab调用接口(Mex方式64位)(MatLab Call Interface (Mex mode 64))

实验报告关于matlab数值分析上机实验报告(Lab report matlab)

建立模型参考自适应系统(MRAS)来估计转子磁链，最后通过Matlab／Simulink仿真与基于DSP的无速度传感器异步电动机矢量控制实验(Model reference adaptive system (MRAS) to estimate the rotor flux, and finally through Matlab/Simulink Simulation and DSP-based induction motor speed sensorless vector control experiments)

用有限差分法求双脊金属加载矩形波导的基模及第一个高阶模的色散特性曲线( Finite difference method seeking double-ridged metal loaded rectangular waveguide fundamental mode and first higher order mode dispersion characteristic curve)