digital-signal-processing-code

对声音信号进行处理的matlab仿真，可以用于水声信号(Right audio signal processing matlab simulation can be used for underwater acoustic signal)

说明：  zernike拟合程序,帮助初学者的小程序(zernike fitting )

i guess this is the last time

这个源码包含了LT码的编码和解码过程啦。(The orginal code includs the encoding and decoding process of LT code)

MPC - Dynamic matrix control for MIMO

二阶锁相环在输入信号为调频信号是的混沌特性分析(Second-order PLL FM signal in the input signal is Chaotic Characteristic Analysis)

目动曝光控制参数的获得方法及控制方法和成像装置--专利(Project AE acquisition method and control method and control parameters of the imaging device)

倒立摆的编程，单级倒立摆，完美运行，比较好的程序(daolibai kongzhi )

Fundamentals_of_Database_Systems,_6th_Edition 电子版及课后习题答案(Fundamentals_of_Database_Systems,_6th_Edition PDF & solutions)

A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.