ofdm

徑向基底函數類神經網路，是單隱藏層的3層前向網路，模擬人腦中局部調整，有很好的逼近能力(Radial basis function neural network, a single hidden layer of 3 layer to the network, simulating the brain partial adjust, has a very good approximation ability)

多普勒频移下的Rayleigh衰落,更符合实际信道的带有多普勒频移的Rayleigh衰落 附加资料(rayleigh_doppler)

Find a classification error for a given decision surface D and a given set of patterns and targets (Find a classification error for a given dec ision surface D and a given set of patterns and ta rgets)

三维的分数阶傅立叶变换，用于非平稳信号处理(the 3D Fractional Fourier Transform)

Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt - use offsets (1,1) (data are already logarithmized) dataSample_2.txt - use offsets (1,1) (Run Application =============== Windows: Doubleclick the BicAT_v2.2.jar file Linux: type ./run_linux to start the application. Solaris: type ./run_solaris to start the application. possible problems: ================== Make sure the environment variables are properly set! CLASSPATH (should be ok) LD_LIBRARY_PATH = ./lib/linux ./lib/solaris Sample Data Files ================= dataSample_1.txt- use offsets (1,1) (data are already logarithmized) dataSample_2.txt- use offsets (1,1) )

MATLAB code for reed soloman encoding

S变换 可用于对信号进行频谱分析 提取信号特征 包括幅值 相位 谐波成分等应用广泛 希望对大家的学习有帮助(S transform can be used to extract the signal spectrum analysis features include the magnitude of the phase signal harmonic components and so widely we hope to help learning)

1D heat transefer function [A,b,r] = fullyDev1dr(m,rout,mu,dpdx) fullyDev1dr CVFD coefficients for 1D fully developed flow in a pipe Synopsis: [A,b] = fullyDev1dr [A,b] = fullyDev1dr(m) [A,b] = fullyDev1dr(m,rout) [A,b] = fullyDev1dr(m,rout,mu) [A,b] = fullyDev1dr(m,rout,mu,dpdx)

Matlab和Labview混合编程，可以演示信号的白噪声添加和滤波，以及时域和傅立叶变换后的频域波形(Matlab and Labview mixed programming, you can demo the white noise signal add and filtering, as well as the time-domain and Fourier transformed frequency domain waveform)

对所拍摄的车牌进行切割、识别，并对识别结果进行语音播报。(Taken on the license plate cutting, recognition, and voice recognition results broadcast.)