networked

code warrior for windows set up for coding in code warrior

this octave exercise you will rst implement the k-means and GMM (Gaussian Mixture Model) clustering algorithms. Then you will create a BOW (Bag of Words) representation of sample images and use it to recognize object classes in these images

由设计要求可知，wp<=0.2π，允许误差幅度小于1dB，ws>=0.3π内衰减应大于15dB。为了验证数字滤波器的实际滤波功能，设计程序时，把输入序列定为验证函数x（t）=4sin（100πt）以及x（t）=4sin（200πt）和x（t）=4sin（400πt）。又因为Ts=1.25ms，T=80ms，故采样点为64，即N=64，所以当M=6，可以同时调试并验证程序的滤波功能。(Seen by the design requirements, wp < = 0.2π, allow a margin of error of less than 1dB, ws> = 0.3π within attenuation greater than 15dB. In order to verify the actual filtering function of the digital filter design program, the input sequence as validation function x (t) = 4sin (100πt) and x (t) = 4sin (200πt) and x (t) = 4sin (400πt) . And because Ts = 1.25ms, T = 80ms, so the sampling points is 64, that is N = 64, so when M = 6, can debug and validate filtering program.)

独立成分分析算法降低原始数据噪声，实现串口的数据采集，使用混沌与分形分析的例程，包含位置式PID算法、积分分离式PID，车牌识别定位程序的部分功能，用于建立主成分分析模型，在matlab R2009b调试通过。( Independent component analysis algorithm reduces the raw data noise, Achieve serial data acquisition, Use Chaos and fractal analysis routines, It contains positional PID algorithm, integral separate PID, Part of the license plate recognition locator feature, Principal component analysis model for establishing, In matlab R2009b debugging through.)

关于MATLAB开发dsp的一个例子,比较方便使用，作为指导拓展用(an example for developing dsp using matlab )

Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods have been proposed in the recent literature capable of coping with a certain degree of occlusions of the objects.

压缩包是三个matlab源程序，用于产生自由空间路径损耗、对数距离路径损耗以及对数正态路径损耗。(Package is three matlab source, used to produce free space path loss, log distance path loss and lognormal path loss. )

用matlab 语言实现功率谱估计算法,程序中有详细的说明(using Matlab language power spectrum estimation algorithm, the process is described in detail in)

采用自相关法计算混沌时间序列最小延迟时间的Matlab原程序。(using autocorrelation calculated chaotic time series smallest delay time of the original program Matlab.)

说明：  matlab平台实现的sar Omega-K算法(SAR omega-k algorithm based on MATLAB)