Computational-Colour-Science-Using-MATLAB---Steph

cohen类信号的双线性信号时频分析，page分布，该函数用于计算离散时间信号X的page分布，或良信号的互page表示。(cohen category signals bilinear time-frequency analysis, page distribution, the function used to calculate the discrete-time signal X s page distribution, or good signal that each page.)

number addition java codes

说明：  图像匹配，拼接等源程序，里面附有图片的说明的(image matching，stiching based on matlab)

用matlab做时间序列分析，建立ARMA模型的示例程序，清晰易懂，备注完整。(Using matlab to do time series analysis, ARMA model sample program, lucid, notes intact.)

3、 瑞利信道中的调制解调、信道估计： (1) 请推导出单径瑞利信道中的BPSK相干解调的理论误码率性能，并画出比特信噪比与误码率的关系曲线。 (2) 在单径瑞利信道中，请设计一种时分的导引辅助的信道估计方法，用Simulink进行仿真，测量BPSK的误码率性能，画出比特信噪比与误码率的关系曲线，并与(1)的曲线进行对比。 (3, the Rayleigh channel modulation and demodulation, channel estimation: (1) Please derive the single-path Rayleigh channel coherent demodulation of BPSK BER performance theory, and draw the signal to noise ratio and bit error rate curves. (2) single-path Rayleigh channel, please design a division of the guide-assisted channel estimation method, using Simulink simulation, measurement of the BER performance of BPSK, draw-bit signal to noise ratio and bit error rate curve, and with (1) of the curves were compared. )

拨号按键DFMF仿真程序，数字键及字母键模拟传输中的发送与接收(Dial buttons simulation)

Matlab 与工控组态软件RSView32 的通信设计(Matlab and Industrial Control Configuration Software RSView32 communication design)

LTE的下行信道估计mse的测试，采用了LTE的下行频域结构，LS信道估计，线性插值算法。(LTE downlink channel estimation mse of testing, using LTE downlink frequency domain structure, LS channel estimation, linear interpolation algorithm.)

参数假设检验：对差异进行定量的分析，确定其性质，是随机误差还是系统误差.为给出两者界限，找一检验统计量T，在H0成立下其分布已知。(Parameter hypothesis test: a quantitative analysis of the differences, to determine its nature, is random error or system error. Is given two boundaries, looking for a test statistic T, its distribution under the establishment of the H0 known.)

This demo nstrates the use of the reversible jump MCMC simulated annealing for neural networks. This algorithm enables us to maximise the joint posterior distribution of the network parameters and the number of basis function. It performs a global search in the joint space of the parameters and number of parameters, thereby surmounting the problem of local minima. It allows the user to choose among various model selection criteria, including AIC, BIC and MDL