BrentOptimize

exercice matlab for machine learning

[数学着作][数值方法(MATLAB版)(英文版)].(美国)Mathews.清晰版(Numerical method based on matlab)

自己写的程序，处理人体三维数据手部数据时，对指定域进行简化(Write their own procedures when dealing with three-dimensional data of human hand data on the specified domain to simplify)

做作恶过长中积累的很好的程序 jianyi jil积累下来 对以后(it s good )

遗传算法原理matlab实现，为大家提供里哦啊一个学习matlab的平台，也为大家提供了学习算法的环境。(Genetic Algorithms matlab implementation, provide a learning matlab in Oh ah platform for us to provide a learning algorithm environment.)

Connection system (QAM, PA, AWGN). Demodulation with BER computing.

智能天线 自适应非盲算法LMS。用MATLAB编写而成，第三部分(Non-blind algorithm for smart antenna adaptive LMS. Compiled with MATLAB, the third part)

Port com communication

数字基带传输系统的MATLAB仿真实现 function [sampl,re_sampl]=system_1(A,F,P,D,snr,m,N) 输入变量A ,F,P分别为输入信号的幅度、频率和相位，D为量化电平数，snr 为信道信噪比，N为D/A转换时的内插点数；输出变量sampl为抽样后的输入 信号，re_sampl为恢复出的输入信号。 数字基带传输系统的MATLAB仿真实现 [sampl,quant,pcm]=a_d_1(A,F,P,D) [changed_ami]=signal_encod_1(pcm) [ami_after_channel]=channel_1(changed_ami,snr) [adjudged_ami]=adjudg_1(ami_after_channel,m) re_pcm=signal_decod_1(adjudged_ami) [re_voltag,re_sampl,re_sampl1]=d_a_1(re_pcm,sampl,D,N)(Digital baseband transmission system implementation MATLAB simulation function [sampl, re_sampl] = system_1 (A, F, P, D, snr, m, N) input variables A, F, P, respectively, for the input signal amplitude, frequency and phase , D to quantify the number of electric-ping, snr for the channel signal to noise ratio, N to D/A converter when the interpolation points output variables for the sample after Sampl input signal, re_sampl for the restoration of the input signal. Digital baseband transmission system simulation MATLAB implementation [sampl, quant, pcm] = a_d_1 (A, F, P, D) [changed_ami] = signal_encod_1 (pcm) [ami_after_channel] = channel_1 (changed_ami, snr) [adjudged_ami] = adjudg_1 (ami_after_channel, m) re_pcm = signal_decod_1 (adjudged_ami) [re_voltag, re_sampl, re_sampl1] = d_a_1 (re_pcm, sampl, D, N))

在matlab中调用smooth函数进行加噪数据的平滑处理的方法代码(The M code tells how to call a function to smooth the data which be merged into the noise in Matlab )