pid-soa

光通信中归零型（占空比可调）差分相位调制信号建模与仿真分析(Optical Communication zero type (duty cycle adjustable) differential phase modulation signal modeling and simulation analysis)

file for speech recognition

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. )

说明：  可实现雷达目标检测与跟踪，可绘制所有航迹(Radar target detection and tracking, can draw tracks)

通过二维图抽象的DCT变换，取前n和系数进行重构得到的图像进行显示(Two-dimensional map by abstraction of DCT, take the first coefficient n and displays the image reconstructed by)

步进频率连续波信号压缩仿真，详细展示其信号模型特点。(Simulate the compression of stepped-frequency continuous waves, showing the details of the signal model.)

遗传算法优化bp神经网络，采用的是实数编码方式。(Genetic algorithm optimization bp neural network, using real number encoding.)

MATLAB多方法去高斯白噪声方法有：多幅图像平均、均值滤波、中值滤波(MATLAB more ways to gaussian white noise methods are: many images average, average filtering and median filtering )

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