K_mean

matlab 音乐合成文件 合成吉他音的包络 识别各次谐波(matlab Music the synthesis files synthetic guitar sound envelope to identify all the harmonics)

有限元TetrahedronElement的matlab程序(FEA matlab TetrahedronElement)

音乐格式转换源码程序Music format conversion source program(Music format conversion source program Music format conversion source program)

给出了通过MATLAB设计FIR滤波器的程序，只需要输入滤波器类型和参数就能设计出特定滤波器，并产生DSP需要的数据，很有意义。(MATLAB is given through the FIR filter design process, only the type and parameters of input filter will be able to design a specific filter, and DSP have the data needed and meaningful.)

说明：  AM调制及单边带调制 程序规范易懂,It will be helpful to you!(AM modulated single-sideband modulation procedures and norms understandable, It will be helpful to you!)

Viterbi Decoder in C

(7,4)(15,11)(31,26)汉明码的距离谱以及误码率仿真(failed to translate)

飞机初步设计时，界限法确定总体参数Matlab程序(Aircraft preliminary design, the boundaries to determine the overall parameters Matlab program)

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.

This question also will be about 1-D Kalman filters, but replacing the Bayesian measurement update with the prediction step of Kalman filters