DSP-LAB-Final

Adaptive Threshold method matlab realisation

说明：  排课算法 讲述了排课算法重要算法附有伪代码(course timetable problem)

THERISHOLDING ALGORITHM FOR FIGURE DETECTION

对于进行惯性导航过程中对飞机航行导航算法俄验证所需要的惯性数据进行仿真输出(For aircraft inertial navigation process data needed for simulation output)

PFC 的原理与分析设计 我们作比赛的资料(Principle and Analysis of PFC design we make the game data)

自写的PRBS 伪随机数生成程序， 可用，(参见Matlab help中"seqgen.pn" 及 "PN Sequence Generator" 及"Pseudorandom Sequences" 相关内容)

一种频率估计新算法的仿真可以在dot内高精度的测量频率信号(matlab dot muisc )

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. )

为了能结合Java和 Matlab两者的优点，构造功能更加强大的科学计算环境，对使用Java语言扩展Matlab 主开发环境 自身功能的关键技术进行了研究。首先介绍了使用 Java扩展 Matlab 的基本方法，在此基础上结合项目实践中对复杂图形用 户接口的需要，提出了一种在 Java 对象中通过 Matlab 接口对象访问当前Matlab会话的方法。给出了两个短小完整实例，可 用于进一步扩展与重用。(To be able to combine both Java and Matlab the advantages of structure more powerful scientific computing environment, the expansion of the use of Java language development environment Matlab master key technologies for its own function were studied. First introduced the use of Java to expand the basic method of Matlab, on the basis of the practice of combining items of complex graphical user interface needs, a Java object in Matlab interface object access through the current method of Matlab conversation. Given two examples of short integrity, can be used to further expand and reuse.)

我自己写的小波神经网络的Matlab程序，包含了单维的高维的两种网络模型，比较全面，而且代码中加入开发的初始化算法，使用时只需要更换训练样本就可以了。希望对论文写作有所帮助(I wrote it myself WNN Matlab procedures, includes a one-dimensional two high-dimensional network model, a more comprehensive, but also to add code to initialize the development of algorithms, using only training samples need to replace it. Writing wish to be helpful)