homework3

时频分析书籍，语言比较通俗易懂，写的不错(Time-frequency analysis theory and application)

英文版本的LBP算法描述，包括matlab实现的算法例程，对想学习LBP的人有用(English version of the LBP algorithm description, including the realization of the algorithm matlab routines for people who want to learn useful for LBP)

一个很好带阻滤波器的设计，并给出了用来滤除工频干扰的实例(A good band stop filter and filter frequency is given to an instance of interference)

find the threshold value of the gray scale image.

digital signal processing solution

MATLAB与VB的混合编程探讨，教会你怎么将二者结合起来的(MATLAB with a mixture of VB programming to explore the church how do you combine the two of)

说明：  矩形波函数，计算其频谱，幅度谱和相位谱，与理论值比较。(Rectangular wave function to calculate the frequency spectrum, amplitude spectrum and phase spectrum, compared with the theoretical value.)

Head Pose Estimation on Low Resolution Images using matlab

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.

matlab draw examples