boost_peak_current_control

OFDM的C++源代码，用于通信系统中信号的正交频分复用(The C++ OFDM source code for a communication system of an orthogonal frequency division multiplexing signal)

matlab信道容量，主要是解决多子信道之间的误码率和容量的仿真问题(matlab channel capacity, mainly to resolve the multi-channel bit error rate between the simulation and capacity issues)

自由光通信中，采用4ppm调制，VBLAST编码的译码算法(Free optical communication, the use of 4ppm modulation, VBLAST encoding decoding algorithm)

用雅克比迭代法解椭圆型方程，这是椭圆型方程的差分解法。见于孙志忠编的《偏微分方程数值解法》的p41例题( Solutions of Elliptic Equations with Jacques iterative method, which is the solution of elliptic differential equations. Seen SUN Zhi-zhong series "Numerical Solution of Partial Differential Equations" examples of p41)

matlab of linear system

信息论的实验，一个可以直接运行的程序，相信对您会有帮助(xinxiluj)

此代码为多分辨率小波变换，可对原始信号进行多尺度分解(This code for multi-resolution wavelet transform, the original signal can be multi-scale decomposition)

SAX比其他符号算法更简便、高效 在符号化过程中实现了减维降噪 ,保证在符号空间计算出的两个符号序列距离满足实际两个时间序列距离的下界要求 ,即不会出现漏报(SAX (Symbolic Aggregate approXimation))

研究表明超高斯分布更加贴近语音信号的实际分布，然而语音信号很难用单一的概率密度 函数准确描述，针对这一情况，提出了一种用超高斯混合模型对语音信号幅度谱建模的新方法，并推导了 基于此模型的幅度谱最小均方误差估的估计式。仿真结果表明：与传统的短时谱估计算法相比，该算法不 仅能够进一步提高增强语音的信噪比，而且可以有效减小增强语音的失真度，提高增强语音的主观感知 质量。 (Recent research indicates that the speech spectral amplitude distributions could be fairly described with super-Gaussian probability density function. However, the complexity of speech signal determines that the distribution statistics ofspeech signal could not be well described by single simple function. Thus a super-Gaussian mixture model for speech spectral amplitude is proposed, and with this model, a minimum mean-square error (MMSE) estimator for speech signals spectral amplitude is derived. The simulation results show that this algorithm based on Gaussian and super-Gaussian speech model could achieve better noise suppression and lower speech distortion as compared with the conventional short-time spectral amplitude estimation algorithm. )

matlab 可视化 微分方程 线性方程 元胞自动机 晶体生长 金融(linear equations matlab visualization of cellular automata crystal growth differential financial)