sinPolyfit

公历转换成儒略日,本程序只有在1900年3月1日至2100年2月28日?转换才有效。(change calendar to Julian Day)

以下几个matlab程序对雷达常用的线性调频信号（lfm信号）进行脉冲压缩时的关键问题进行了仿真，其中包括旁瓣抑制影响（加窗与不加窗）、多卜勒频移影响，并对时域脉压与频域脉压结果进行了对比分析，供相关技术人员参考。(Matlab following procedures commonly used on the radar LFM signal (lfm signal) for pulse compression at the time of the key issues of simulation, including the impact of sidelobe suppression (plus a window with no window), the impact of Doppler frequency shift, time domain and frequency domain pulse pressure and pulse pressure results of comparative analysis of relevant technical personnel for reference.)

2005年J.S.Smith提出的局域均值分解LMD(Local mean decomposition)的原始文献，该方法可用于故障诊断、特征提取、振动信号分析等多领域，是较EMD更为温和的一种自适应算法，目前是热门研究方法。(This is the original article about LMD——Local mean decompositon. Ihis method is a novel adaptive decomposition. It is more better than EMD and achieve more and more attention.)

说明：  完整版的MATLAB视频播放程序代码说明文字(The full version of MATLAB video player )

acdc_sym: appoximate joint diagonalization (in the direct Least-Squares sense) of a set of symmetric matrices, using the iterative AC-DC algorithm.

压缩感知matlab代码，在欠采样的条件下实现模数转换。在超宽带和频谱混叠的情况下亦可通过本软件仿真。具有较高的参考价值。(Conventional sub-Nyquist sampling methods for analog signals exploit prior information about the spectral support. A more challenging problem is spectrum-blind sub-Nyquist sampling of multiband signals. For example, cognitive radio receivers face with this kind of problem whenever sensing the RF spectrum at their surroundings. The modulated wideband converter (MWC) is the first system for sub-Nyquist sampling, which can be realized with existing devices and handle wideband analog signals.)

lambda algorithm to gps attitude determination

在夜间黑暗的环境下实现车牌的识别，用matlab编程实现结果(Achieve recognition license plates at night dark environment and achieve results using matlab programming)

卡尔曼滤波原理程序手册，卡尔曼主要用于预测，轨迹跟踪(The Kalman filtering principle Procedures Manual, Kalman mainly used to predict the trajectory tracking)

多个未知数在约束条件下目标函数取最大值得Matlab代码(A number of unknowns in the objective function takes the largest constraints worth Matlab code)