bandpass2

用最小二乘法对未知二阶系统进行辨识，最小二乘部分采用matlab的s-function功能。整个程序为simulink仿真(The least square method to identify the unknown second-order system, least squares part of the s-function using matlab function. Simulink simulation of the entire procedure)

说明：  多天线等距线阵阵列波束形成，鲁棒稳健处理程序(Equidistance line bursts out multi-antenna beamforming, robust sound processing)

Texture Analysis Using DWT for Grape Plant Species Classification:- By observing leaf, we can easily identify plant but it is difficult to identify its species. In this project we developed an algorithm that gives user the ability to identify plant species based on photographs of the leaf. The core theme of this application is an algorithm that acquires statistical features of the leaves, and then classifies the species based on a novel combination of the computed texture feature analysis and wavelet analysis. While implementing this algorithm we have considered the Grape plant and its four species viz. Clone, Sonaka, Thomson and Manik. The algorithm is first trained against several samples of known plant species and then used to classify unknown query species. By using this algorithm we have achieved 93.33 efficiency

说明：  TOA DOA信道仿真 sos方法一均匀，散射体分布二维两种三维一种 注释非常详细的matlab源代码，值得拥有(On TOA of DOA channel simulation sos a uniform scattering body distribution of two-dimensional two kinds of three-dimensional one. Comment in great detail the Matlab source code, should have)

radar matlab simulation

voltage flicker estimation using ESPRIT

这是一个matlab中关于成式设计方面的资料，可以参考参考(This is a matlab on into the design information, can refer to reference)

基于线性预测FIR自适应滤波器的语音增强算法(FIR adaptive filter based on linear prediction algorithm for speech enhancement)

说明：  此代码利用高斯牛顿迭代法，对非线性函数进行参数辨识。可以对传递函数通过阶跃响应实验得到的数据进行迭代获得传递函数的参数(The code uses the Gauss-Newton iteration method to identify the parameters of the non-linear function. The parameters of the transfer function can be obtained by iterating the data obtained from the step response experiment of the transfer function.)

matlab模糊工具箱的使用教程 4步教你学会使用matlab模糊控制工具箱(matlab fuzzy toolbox in step 4 using the tutorial to teach you how to use fuzzy control toolbox matlab)