rayleigh

介绍数字滤波器的定义、分类及实现方法。讨论IIR滤波器、FIR滤波器的设计方法以及如何运用MATLAB中的DSP Blockset工具箱设计数字滤波器。(Introduce digital filter definition, classification and realization method. Discussion of IIR filters, FIR filter design methods and how to use MATLAB in the DSP Blockset toolbox design digital filters.)

本代码是ADC有效位测试的三参数经典算法的MATLAB文件，仅供参考。(the code is for enob of ADC using classical 3-parameter testing method.)

It is the corresponding testing module of the function that is specified in the training phase. test_set is a NxD matrix where N is the number of samples in the test set and D is the dimension of the feature space. true_labels is a Nx1 matrix specifying the class label of each corresponding sample s features (each row) in test_set . adaboost_model is the model that is generated by the function ADABOOST_tr .

今天上传《数学实验与Matlab》2程序，希望对大家有用！谢谢！！！（(today uploaded "Matlab mathematical experiment with the" two procedures in the hope that it may be useful right! Thank you! ! ! ()

The quantum particle swarm optimization (QPSO) applies the quantum computing theory to particle swarm optimization, and thus has the advantages of both quantum computing theory and particle swarm optimization, so it has a faster convergence rate and a more accurate convergence value.

matlab工具包，非常有用的信号时频分析工具,stft,doppler(matlab toolkit, a very useful time-frequency analysis tools, stft, doppler)

sin & cos path tracing in Matlab

the matlab file to calculate radar PRF staggering

基于MATLAB仿真程序，使用牛顿迭代法，在已知时延先验信息的基础上，对目标实现无源定位。 程序内还包含符号迭代和等值线绘图等角复杂代码。希望对研究无源定位的同志有所帮助。(MATLAB-based simulation program, using Newton s iterative method, the known delay on the basis of prior information on target to achieve passive positioning. Symbols within the program also includes iteration and contour drawing isometric complex code. Hope the study of passive location comrades help.)

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)