2X2

呵呵,第一次来很多东西不懂 还请多多指教啊! 几个编的简单的FFT和滤波器设计 希望能有点用(Oh, the first to understand a lot of things you will also enlighten ah! several series of simple and FFT filter design with a little hope)

采用simulink搭建的BPSK调制解调模块(Simulink built using BPSK modulation and demodulation modules)

说明：  matlab有关AR过程的线性建模与功率谱估计程序设计(The linear AR process modeling and power spectrum estimation)

通信原理课程原理课题：数字幅度调制的抗噪声性能。程序运行于MATLAB环境下(communication theory courses principle topics : digital modulation rate of the anti-noise performance. Procedures in the MATLAB environment)

图像傅里叶变换，matlab模拟透镜成像过程，可看到频域信息(fft2 optical imaging progress)

说明：  时间序列经典设计程序，适合初学者学习使用！(Time Series classic design program, for beginners to learn to use!)

boa-constructor 基于wxPython and Python 的GUI构建器(boa-constructor in wxPython and Python-based GUI Builder)

已知观测数据为A+W(n)，其中A为直流信号，W为复高斯噪声，服从CN（0， ），在统计N次下，计算X的统计平均值 ，求T(x)= 的pdf：p(T(x)|H0)、p(T(x)|H1)。 H0： W H1： A+W (Known observation data A+W (n), where A is the DC signal, W is the complex Gaussian noise, subject CN (0,), N times in the statistics, the calculation of the statistical mean of X, find T (x) = a pdf : p (T (x) | H0), p (T (x) | H1). H0: W H1: A+W)

肤色检测，YCbCr空间，直接阈值处理，效果还行，可以参考下(skin detection)

采用加权网络中节点强度和权重都是幂率分布的模型，分析了该信号的时域、频域、倒谱，循环谱等,粒子图像分割及匹配均为自行编制的子例程。( Using weighted model nodes in the network strength and weight are power law distribution, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. Particle image segmentation and matching subroutines themselves are prepared.)