FivePoint

射频电路设计--理论与应用答案+程序.rar(RF_circuit_design- theory and_application_of_the_answer+program. rar)

語音信號是基於時間軸上的一維數位信號，在這裏主要是對語音信號進行頻域上的分析。在信號分析中，頻域往往包含了更多的資訊。對於頻域來說，大概有8種波形可以讓我們分析：矩形方波，鋸齒波，梯形波，臨界阻尼指數脈衝波形，三角波，餘旋波，余旋平方波，高斯波。對於各種波形，我們都可以用一種方法來分析，就是傅立葉變換：將時域的波形轉化到頻域來分析。(Voice signal is based on the timeline of one-dimensional digital signal, where mainly the speech signal in frequency domain analysis. In signal analysis, frequency domain often contains more information. For the frequency domain for about 8 allows us to analyze waveforms: rectangular square wave, sawtooth, trapezoidal wave, the critical damping index pulse, triangle wave, I spin wave, I spin square wave, Gaussian. For all waveforms, we can analyze in a way that is Fourier transform: the transformation of time domain waveform into the frequency domain to analyze)

dynamic voltage restorer with 11 level diode clamp inverter

first-order Engquist-Majda ABC in an FDTD program for 2D-TMz Wave.

it is useful and helpful for my research work

说明：  pso基本算法的代码，能满足最基本的需要，适合初学人员，便于理解(pso )

图像阈值分割技术在图像分割中具有重要的意义。遗传算法既可以对全局信 息高效利用，也减少了存储空间和计算量。利用遗传算法的优点，提出了一 种用改进遗传算法的图像分割的方法，可以将父代中适应度大的个体代替当前代 中的个体，保证了可以选出最优的个体。遗传算法是具有鲁棒性和自适应性的搜 索方法.通过实验对比，表明该方法具有快速、稳定分割的特点。(Image threshold segmentation technology is of great significance in image segmentation. Genetic Algorithms can be used for global information Efficient utilization of information also reduces storage space and computation. Based on the advantages of genetic algorithm, a new genetic algorithm is proposed. A method of image segmentation based on improved genetic algorithm can replace the current generation with individuals with large adaptability in the parent generation. The individual in the system ensures that the best individual can be selected. Genetic Algorithms are Robust and Adaptive Search The experimental comparison shows that the method has the characteristics of fast and stable segmentation.)

frequency hopping code division multiple access

说明：  RINEX 2.1 导航电文文件读取程序(RINEX2.1 navigation data file read)

Comparison between Planar beam with Gaussian beam (with Gaussian beam ian beam)