phase_noise_sim

Z-Source变换器matlab仿真模型，输入电压24V，输出电压110V。(Z-Source converter， matlab models.)

说明：  《matlab智能算法30个案例分析》采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法、粒子群算法、鱼群算法、蚁群算法和神经网络算法等最常用的智能算法的matlab实现。本书共给出30个案例，每个案例都是一个使用智能算法解决问题的具体实例，所有案例均由理论讲解、案例背景、matlab程序实现和扩展阅读四个部分组成，并配有完整的原创程序，使读者在掌握算法的同时更能快速提高使用算法求解实际问题的能力。本书可作为本科毕业设计、研究生项目设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(All the cases in the book are carefully designed for the immediate needs of users of major matlab technology forums in China, and the contents and solutions of many cases are rarely introduced in the published matlab books in China.)

SPIHT图像压缩编码的Matlab程序。(SPIHT image compression encoding procedure of Matlab.)

matlab关于自动控制的编程，有源代码(failed to translate)

一个修改后的acp进行人脸识别的Matlab代码(A modified acp the Matlab code for face recognition)

TKK Voice Source Analysis and Parametrisation Toolkit (Aparat) is a voice inverse filtering and parametrisation software developed at Helsinki University of Technology (TKK) Acoustics and Audio Signal Processing Laboratory, Espoo, Finland. It is especially useful in rapid inverse filtering and parametrisation of large amounts of pre-segmented vowels.

输入信号为方波信号+高斯白噪声，方波信号基 频为1kHz，幅值为1，高斯白噪声方差为0.2， 均值为0，采样频率为20kHz。试用最大熵估计 法估计此信号的AR模型及其功率谱，并分析结 果(The input signal is a square wave signal+ Gaussian white noise, square wave signal fundamental frequency 1kHz, amplitude is a Gaussian white noise variance is 0.2, the mean is 0, the sampling frequency is 20kHz. Try maximum entropy estimation method to estimate the AR model of this signal and its power spectrum, and analyze the results)

基于距离多普勒算法的matlab仿真，进行了距离向压缩，方位向压缩，以及距离徙动校正(The Range Doppler Algorithm and MATLAB Simulation)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(（Evolu2tionary Algorithm - EA）。PSO 算法属于进化算法的一种，和遗传算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years ((Evolu2tionary Algorithm- EA) .PSO algorithm is an evolutionary algorithm, and similar genetic algorithm, it is also starting random solutions, through iterative search for the optimal solution, which is also uated by the quality of the fitness solution, but it is much simpler than genetic algorithms rule, it does not have the genetic algorithm cross (Crossover) and variant (Mutation) operation, which by following the current search to find the optimal value to the global optimum. the algorithm for its easy implementation, high accuracy, and fast convergence advantages attracted academic attention, and in solving practical problems demonstrated its superiority.)

FIR filter designing ...