three_machines_nine_buses

牛顿法电力系统潮流计算，采用matlab计算程序(MATLAB)

说明：  这里介绍了一种基于自适应滤波的噪声抵消法，采用归一化最小均方误差算法，采集实际噪声环境下各种不同信噪比的带噪语音样本进行降噪处理，实验结果表明，处理后信号的信噪比得到了较大程度的提高，大大改善了听音效果，具有很高的可懂度，且语音自然度好，没有失真；并与谱减法进行了比较，自适应噪声抵消法的降噪幅度比谱减法有一定提高，在听音效果上，用自适应噪声抵消法处理后的语音在清晰度，自然度方面优于谱减法。(Here a novel adaptive noise cancellation method using normalized least mean square algorithm, collecting a variety of actual noise environment, the SNR of noisy speech samples for noise reduction, experimental results show that treatment After the signal to noise ratio was greater improvement in the level, greatly improved the listening results, with high intelligibility and naturalness of speech is good, no distortion and were compared with the spectral subtraction, adaptive noise cancellation law than the spectral subtraction noise reduction rate of a certain improvement in the listening results, and with the adaptive noise cancellation method in the treatment of voice clarity, naturalness is better than spectral subtraction.)

介绍了m 序列和Gold 序列的原理、性能和构造方法，接着在MATLAB 中用M 语言编程实现它们的产生和分析。(Describes the m-sequence and Gold sequence of principle, performance and construction methods, and then using M language in MATLAB programming their generation and analysis.)

Calculating the acceleration due to gravity using linear regression method

说明：  上传内容为A*算法用于路径规划的完整算法，便于大家学习进步。(The upload content is the complete algorithm of a * algorithm for path planning, which is convenient for everyone to learn and progress.)

系统辨识及其MATLAB仿真，侯媛彬，科学出版社，介绍了各种辨识方法的MATLAB实现(System identification and MATLAB simulink)

Inverse synthetic aperture radar imaging with MATLAB

适合初学者关于单机动目标CA,CV,Singer模型对比追踪效果，并配有讲解(For beginners, CA, CV and Singer models for single maneuvering target are compared and explained.)

The eff ect of thyristor-controlled series capacitors (TCSC) on bifurcations of subsynchronous resonance (SSR) in power system

Robotics Toolbox for Matlab(The Toolbox has always provided many functions that are useful for the study and simulation of classical arm-type robotics, for example such things as kinematics, dynamics, and trajectory generation. The Toolbox is based on a very general method of representing the kinematics and dynamics of seriallink manipulators. These parameters are encapsulated in MATLAB R objects—robot objects can be created by the user for any serial-link manipulator and a number of examples are provided for well know robots such as the Puma 560 and the Stanford arm amongst others. The Toolbox also provides functions for manipulating and converting between datatypes such as vectors, homogeneous transformations and unit-quaternions which are necessary to represent 3-dimensional position and orientation.)