NIfTI-MR-Image

说明：  上一届传下来的粒子群算法，需要进行优化的可以用这个程序(Particle Swarm Optimization )

说明：  基于Matlab全景图拼接算法 基于最大梯度和灰度相关的两步全景图拼接算法(Matlab-based panoramic image mosaic algorithm based on the maximum gradient and gray two-step related Panorama Stitching Algorithm)

说明：  根据脉冲序列，使用s域z域之间的转换，求系统的脉冲响应传递函数(According to pulse sequence, the use of s-domain conversion between z-domain, and the system impulse response transfer function)

这是一个关于QPSK的代码编程，有兴趣的读者可以关注一下！！！(QPSK)

四阵元理想情况下情况下，来波方向为30度，干扰信号方向为45度时，各阵元波形( Smart Antenna beam-forming)

基于三次指数平滑法的程序代码 大家可以参开一下 模仿自己编程(Three exponential smoothing based on the program code to open what we can participate in imitation of their own programming)

single image dehazing matlab代码(single image dehazing matlab code)

lpc线性预测编码，合成与分析析，在matlab中实现-lpc (lpc linear predictive coding, synthesis and analysis of the analysis, in-lpc in Matlab)

睁闭眼信号的处理，welch方法和功率谱(Open eyes closed eyes signal processing, welch method and power spectrum)

Chroma Feature Analysis and Synthesis Chroma features are an interesting and powerful representation for music audio in which the entire spectrum is projected onto 12 bins representing the 12 distinct semitones (or chroma) of the musical octave. Since, in music, notes exactly one octave apart are perceived as particularly similar, knowing the distribution of chroma even without the absolute frequency (i.e. the original octave) can give useful musical information about the audio and may even reveal perceived musical similarity that is not apparent in the original spectra.