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射频方面的资料，里面有详细的M文件，希望对大家有用。（共5个文件）(Radio frequency information, there are detailed paper M, in the hope that useful to everyone. (A total of 5 files))

concolution sunum teknolojı lerı

实现汉明码的编码和译码，可设定误码位置，查看纠错效果。(Achieve Hamming encoding and decoding, error location can be set to see the error correction effect.)

gps和惯性组合导航算法和kalman滤波算法，应用于组合导航(GPS and inertial integrated navigation algorithm and Kalman filtering algorithm are applied to integrated navigation)

说明：  变阶跃式PID控制matlab程序，同大家一同学习。(Variable step-type PID control matlab procedures, with everyone learning together.)

说明：  1．用Matlab产生正弦波,矩形波,以及白噪声信号，并显示各自时域波形图 2．进行FFT变换，显示各自频谱图，其中采样率，频率、数据长度自选 3．做出上述三种信号的均方根图谱,功率图谱,以及对数均方根图谱 4．用IFFT傅立叶反变换恢复信号，并显示恢复的正弦信号时域波形图 (1. Using Matlab generated sine wave, rectangular wave, as well as the white noise signal, and display their respective time-domain waveform of Figure 2. FFT to transform, showing their frequency spectrum, including sampling rate, frequency, data length of 3-on-demand. Made of the three signals in root-mean-square maps, power maps, as well as the number of root-mean-square map 4. Fourier Transform IFFT with the restoration of signals, and displays the sinusoidal signal the resumption of time-domain waveform)

功率谱分析，对采集的脑电信号进行分频段，能量的计算(ower spectrum analysis, the collection points and spectrum of eeg signals, the calculation of energy)

使用matlab根据50倍Q值的有源滤波器的传输函数设计各个参数跟带通滤波器的中心频率关系的M文件，可供调用(Q using matlab under 50 times the value of the transfer function of active filter design of the various parameters of band-pass filter with center frequency of the relationship between M-files are available for calls)

Perceptron and linear regression for linear separable datasets. Code is documented in English and report in German.

1: MSE.m : to perform Mean Square Error between 2 images 2: most.m : to get the most redundant value in a matrix 3: getneighbors.m : to get circular neighbors of pixel 4: ColorSpaceConversion.m : convert an image into different color spaces and shows their channels 5: ImageSlicer : to separate the 8 bit planes of an image(return m*n*8 matrix) 5: