projekat

BP network is a wide used network in Artificial Neural Network domain. This is a example of BP, applied with Matlab!

Pitch-scale and time-scale modification of speech by PSOLA techniques.

一种计算多重分形谱的算法，能够有效计算多重分形谱的各种参数(A method of calculating the multifractal spectrum)

研一刚上完数值分析，自己写了几个算法的子函数，可以直接调用，参数的含意在文件中有说明，这五个算法分别是：拉格朗日插值，hermite插值，Newton插值，修正hamming算法，龙贝格加速算法。希望能够对大家有所帮助。(Kenichi just finished numerical analysis, himself wrote a number of algorithms Functions, you can directly call the meaning of the parameters described in the document, the five algorithms are: Lagrange interpolation, hermite interpolation, Newton interpolation value, as amended Hamming algorithm to accelerate the algorithm Romberg. We hope to be able to help.)

使用matlab工具解洛伦兹方程的runge-kutta方法(matlab solution of Lorenz equations)

雷达天线方向图仿真，非常简单实用。。。。。。。。。(Radar antenna pattern simulation, a very simple and practical)

说明：  本文在DCT噪声信号模型研究的基础上,提出了一种新的音频水印嵌入位置选择策略和一个应用该策略的自适应音频水印算法. 通过定义DCT系数的噪声敏感度,建立了水印嵌入位置和嵌入水印后的音频信号的听觉感知性之间的关系,根据音频水印的不可听性的要求选择最优的嵌入位置,然后调节水印强度来满足鲁棒性的要求,从而最大程度地保持音频水 印的不可听性和鲁棒性,为解决音频水印嵌入过程中不可听性和鲁棒性之间的矛盾提供了一种策略.(Though m any w orks in the literature agree that w aterm ark should be em bedded in the middle2fre2 quency coefficients or percep tually significant components, how to determ ine the position em bedded has no universal definition. A new em bedding strategy and an algorithm app lying the strategy are p roposed for audio w aterm arking in DCT dom ain based on research of DCT noise m odal. B y defining a noise sensitivity vector, a m ath relationship betw een the w aterm ark em beddable position and the audible quality of the audio file w ith w aterm ark is set up.)

经典的MUSIC算法，很适合新手的学习和认识(Traditional MUSIC ，DOA adaptive array suitable for newer learning)

认知无线电，能量检测程序，检测概率和虚警概率的对比pd VS pf (Cognitive radio, energy test procedures, detection probability and the false alarm probability contrast pd VS pf )

捷联惯导算法、四元数算法姿态解算、误差补偿及仿真分析，matlab仿真程序(Attitude calculation of strapdown inertial navigation system algorithm based on Matlab)