The-Beginners-Guide-to-Analyzing-GSM-Data-in-MatLa

This book is about some examples of simulating DSP with Matlab

读一组整数到vector对象，计算并输出每对相邻元素的和。如果读入元素个数为奇数，则提示用户最后一个元素没有求和，并输出其值。(Read a set of integers to vector objects, calculate and output, and each pair of adjacent elements. If you read an odd number of elements, the last element of the user is prompted no summation, and output its value.)

邓勇夫 基于K-均值聚类算法的数据分类方法MATLAB实现(K-means MATLAB)

tlbo-constrained optimization

带通滤波实现各种滤波窗口的带通滤波功能，汉宁窗(bandpass filter)

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.

JC specifications documents

包括灰级窗和直方图，中值滤波。灰级窗成功的显示需要的切片，直方图采用多种方法来实现对一幅图片的灰度化。(Including the gray-level histogram windows and median filtering. Gray level display window successful sliced need histogram using a variety of methods to achieve a picture of grayscale.)

通过对输入ISBN进行演算.从而得出其真伪信息(Input to calculations by ISBN. To arrive at the authenticity of the information)

卷积码的MATLAB实现，包括编码器和译码器。(Convolutional codes of MATLAB to achieve, including the encoder and decoder.)