Dehazing-Airlight-estimation-master

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

this code simulate about ber in mc-cdma with single,2,4,8 user

基于GA和MP的音频信号稀疏分解,用matlab实现(GA and MP based on sparse decomposition of audio signals using matlab implementation)

this code is a simple one_seeded region growing to segment the bones in MRI prostate images.

MATALB code to extract features from EEG signal

Classical feedback control with MATLAB

基于matlab的ofdm仿真，内含有word文档及代码。(Based on the OFDM matlab simulation, contains documents and code word.)

自适应滤波的一种最小均值法因算法简单故应用很广泛值得探究与开发的继续研究(A minimal adaptive filtering algorithm is simple because it means method is widely applied and development should continue to explore )

ksvd算法 自己写的 很好 直接可以发论文了(The ksvd algorithm itself writes well.You can send papers directly.)

按照给定指标采用模拟低通滤波器（巴特沃思低通）去逼近理想模拟低通滤波器 ，然后通过双线性变换法对模拟滤波器进行数字化，得到数字滤波器 。(Indicators in accordance with a given analog low-pass filter (Butterworth low-pass) to approximate the ideal analog low-pass filter, and then through the bilinear transformation method of digitizing analog filters, the digital filter.)