lfm_RV

UNIX网络编程第2卷 进程间通信。学习Linux很好的书籍(UNIX Network Programming Volume 2 Interprocess communication. Good books to learn Linux)

隐马尔科夫的源程序，主要用于模式识别中，也可用于其它(Hidden Markov source, is mainly used for pattern recognition can also be used for other)

利用常速率转弯模型对目标进行卡尔曼滤波，实现目标跟踪(Constant rate of turn using Kalman filtering model of the target to achieve target tracking)

录制自己的一段语音，时间控制在15秒到30秒左右；利用wavread函数对自己的语音进行采样，记住采样频率。 （1）画出原始语音信号的时域波形，而后以1秒为间隔，求出每秒数据的功率谱。 （2）根据语音信号特点，分别设计FIR及IIR滤波器，分别画出滤波器幅频和相频特性曲线。用设计的滤波器对信号滤波，画出滤波后时域波形。用sound函数回放语音信号。 （3）求出特征频段语音信号随时间变化的曲线（每间隔0.05秒求一次功率谱）。 (Record your own voice for some time (15 seconds to 30 seconds) use wavread function of the voice samples, remember the sampling frequency. (1) Draw the original speech signal in time domain waveform, and then to 1 second intervals, the data obtained power spectrum per second. (2) According to the voice signal characteristics, FIR and IIR filters were designed, namely to draw the amplitude and phase frequency characteristic curve. With the design of the filters on the signal filtering, to draw the filtered time-domain waveform. Playback with sound function of the speech signal. (3) Find the characteristic band speech signal curve over time (0.05 seconds intervals seeking a power spectrum.))

跳扩频信号的时频分析，对研究信号检测与参数估计的非常有帮助，时频图清晰明了，很好的程序(When frequency hopping spread spectrum signal analysis, the study of signal detection and parameter estimation is very helpful, time-frequency diagram clarity, good program)

用ezplot命令来计算模拟一维二元光子晶体的反射率(Ezplot order to use simulation to calculate the binary one-dimensional photonic crystal reflectivity)

说明：  MIMO的Alamouti空时分组码MATLAB程序(MIMO silicon space-time block codes MATLAB)

to calculate psnr for images by matlab

matlab实现系统能够仿真试验。基于力学理论，仿真小车运动过程中的状态(matlab simulation system can achieve. Based on the mechanical theory, simulation of car movement in the process of state)

The economic load dispatch plays an important role in the operation of power system, and several models by using different techniques have been used to solve these problems. Several traditional approaches, like lambda-iteration and gradient method are utilized to find out the optimal solution of non-linear problem. More recently, the soft computing techniques have received more attention and were used in a number of successful and practical applications. The purpose of this work is to find out the advantages of application of the evolutionary computing technique and Particle Swarm Optimization (PSO) in particular to the economic load dispatch problem. Here, an attempt has been made to find out the minimum cost by using PSO using the data of three and six generating units