基带传输系统的matlab仿真

说明：  基于AES和RSA加密算法的RFID安全机制 考虑到对国内应用最广泛的Mifarel系列标签的安全手t一级， 在建立以 MFRC500为读卡核心的RFID读卡系统的基础上，提出了一种基于非 对称加密与对称加密算法相结合的RFID安全机制。利用一1卜对称力11密算法对对称 加密算法的密钥的二次加密，做到只有特定的读写器才能拥有读写卡的权利。该 安全机制跳过RFID在开放环境中传输所面临的各种威胁，通过利少月安全性和稳 定性久经考验的公开安全加密算法对存入智能卡信息的重加密，解决了RFID所 面临的安全和隐私泄露问题 (Taking into account the most widely used domestic Mifarel series of labels t a safe hand, In the establishment of MFRC500 as the reader, RFID reader system, the core was proposed based on a based on non- Symmetric encryption and symmetric encryption algorithm is a combination of RFID security mechanism. The use of a one-Bu symmetry edge 11 close to the symmetric algorithm The key encryption algorithm for re-keying, so that only certain card reader in order to have the right to read and write. The Skip RFID security mechanisms to transfer in an open environment faced by a variety of threats, through the pros on the security and stability Qualitative time-tested public security encryption algorithm into the smart card information, re-encryption, solved by RFID Faced with the problem of security and privacy leaks)

说明：  这个是快速天线选择算法里递减型快速天线选择与递减型快速天线选择算法的代码(This is a fast antenna selection algorithm code descending type fast antenna selection algorithm)

说明：  实现偏振图像的偏振度和偏振相角的融合，并实现融合后的图像与强度图像融合，比较梯度等信息(Fusion of polarization degree and polarization phase angle of polarized image, fusion of fused image and intensity image, comparison of gradient and other information are realized.)

Windowing, FIR filters

system identification, m document based on idetification

经典多重分类信号处理算法MUSIC的仿真编程(Classical MUSIC of the multiple signal classification algorithm simulation programming)

Sub band adaptive filtering alogorhims

基于kaiser窗的双谱线插值FFT谐波分析，复化三点Gauss-lengend公式求pi，实现了对10个数字音的识别程序考虑雨衰 阴影 和多径影响，一个很有用的程序，数学方法是部分子空间法。

FCM_S算法的matlab代码 包括其改进FCM_S1 和 FCM_S2(FCM_S1 and FCM_S2 with matlab code)

说明：  描述一个卡尔曼滤波问题需要两个模型，一个是描述系统的状态方程，一个是观测方程，观测量通过观测方程与状态变量建立联系，由观测量估计状态值。与其他频域滤波器不同，卡尔曼滤波器不需要观测和估计的历史记录，可以直接在时域进行设计和使用，是一个时域滤波器，适用于处理实时数据。 对于一个运动模型，建立卡尔曼滤波模型，进行仿真，设已知初始时刻运动目标的真实位置和速度，并已知卡尔曼滤波使用的初始状态值，对该问题给出仿真；进一步分析该问题的稳态卡尔曼解，直接使用稳态卡尔曼滤波（滤波器）仿真该问题。 提供了Matlab源代码，代码中有注释和画图，非常详细。(For a motion model, the kalman filter model is established for simulation. The real position and velocity of the moving target at the initial moment are known, and the initial state value used by the kalman filter is known. The steady-state kalman solution of the problem is further analyzed and the problem is directly simulated by steady-state kalman filter (filter). Matlab source code is provided, the code has comments and drawings, very detailed.)