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C课设必备，课设常见类型都有，内容很全！(A helper for you when developing a C progrem)

运用matlab对ofdm的原理进行仿真，高效仿真验证ofdm的基本原理(ofdm basic principa)

基于K均值的PSO聚类算法,用于图像处理的独立分量分析，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法。( K-means clustering algorithm based on the PSO, Independent component analysis for image processing, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm.)

多电平差错概率在同一张图上仿真多幅度电平PAM在M=2,4,8，16时符号的差错概率，信噪比0:25(Multi-level error probability)

kriging interpolation code

北理工信号考研笔记，有需要的人可以下下来看看(North Polytechnic signal Kaoyan Notes)

这是周建兴的《matlab从入门到精通》第6章的所有源代码，都可以运行的出来，和课本上的一样，(This is Zhoujian Xing' s " matlab from entry to the proficient," Chapter 6, all the source code, you can run out, and textbooks on the same)

直接序列扩频系统在白噪声环境下的仿真（信号采用升余弦滚降成形）(Direct sequence spread spectrum simulation white noise environment)

Mel-frequency cepstral coefficients (MFCCs) are coefficients that collectively make up an MFC. They are derived a type of cepstral representation of the audio clip (a nonlinear spectrum-of-a-spectrum ). The difference between the cepstrum and the mel-frequency cepstrum is that in the MFC, the frequency bands are equally spaced on the mel scale, which approximates the human auditory system s response more closely than the linearly-spaced frequency bands used in the normal cepstrum.

《MATLAB宝典》MATLAB入门的超强超全的使用工具书。(" MATLAB Collection" MATLAB Introduction to the use of super-ultra-wide tool.)