LFM_Tdelay_Fd

matlab下神经网络工具箱的开发和应用 很有参考价值(matlab neural network toolbox of the development and application of valuable)

假设一物体围绕一圆周运动，角加速度是白噪声，观测噪声也是零均值的白噪声。编程使用卡尔曼滤波器实现运动物体的跟踪。(Suppose an object around a circular motion, the angular acceleration is white noise, measurement noise is zero mean white noise. Programming using a Kalman filter to achieve tracking moving objects.)

Sample Important Resampling Particle Filter(SIR Particle Filter)

基于kaiser窗的双谱线插值FFT谐波分析，采用了小波去噪的思想，主要是基于mtlab的程序，包括调制，解调，信噪比计算，均值便宜跟踪的示例，微分方程组数值解方法，一些自适应信号处理的算法。( Dual-line interpolation FFT harmonic analysis kaiser windows, Using wavelet denoising thought, Mainly based on the mtlab procedures, Includes the modulation, demodulation, signal to noise ratio calculation, Example tracking mean cheap, Numerical solution of differential equations method, Some adaptive signal processing algorithms.)

说明：  在微电网的优化配置过程中采用遗传算法对其进行优化配置(Genetic algorithm is used to optimize the microgrid configuration)

Matlab摄像机标定两种方法，张法和TSAI(Matlab camera calibration method, Zhang and TSAI)

说明：  matlab中一些重要的课件和资料，比较有用啊！(matlab courseware and some important information, more useful ah!)

运用用MATLAB编程的小型计算器，能够运行简单的加减乘除等运算(Use with MATLAB programming small calculator, able to run, such as simple addition and subtraction, multiplication and division operations)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

压缩感知经典程序算法分块的STOMP算法，该算法已经过验证，可以正常使用。(Compressed sensing algorithm classic program chunked STOMP algorithm, which has been verified, can be used normally.)