ifft_basesignal_gen

Get the PSD with the covarianze method.

说明：  这是国外一本经典教材附带的程序，通信系统的matlab实现，所含例子丰富(This is a classic foreign materials attached to the procedures, communications systems to achieve matlab contains abundant examples of)

digital band-pass filter with a bandwidth of 100 Hz, mean frequency 250 Hz, 0.1 db

Pixel classification code using K-Nearest Neighbor Classifier.Here three pixel values of color image are taken as training sample.Color based segmented image was used to classify the object into three classes.

各种灰色T型关联度代码，修正的T型关联度，改进的T型关联度,邓氏关联度，绝对关联度，相对关联度等。非常方便！(Various gray T-correlation code, modified T-correlation, improved T-correlation, Tangs correlation, absolute degree, associate degree relative. Very convenient!)

说明：  二阶倒立摆控制算法，三种方法，simulink实现(Second order inverted pendulum control algorithm, three methods, Simulink implementation)

2FSK的调制解调，基于simulink的仿真(2FSK-simulink)

航空飞行器6自由度动力学模型，用于飞行力学和飞机控制仿真(Aviation aircraft 6 DOF dynamics model for flight mechanics and aircraft control simulation)

OFDM的性能仿真，绝对的好资料，在LTE和OFMDA中都有运用。(OFDM-performance simulation, the absolute good information, both in LTE and OFMDA in use.)

以软件为主的方法实现QRS波的检测滤波之后的信号一般经过一些 变换以提高QRS波的份量，进而采用一系列阈值进行判别，这些阈值有固定 阈值法，也有可变阈值法。前者由于可能的干扰或高P、高T波的存在，若 其滤波后超过其阈值便会产生假阳性(FP，falsepositive)结果；另外，当心 律失常或QRS波幅度变小，阈值设置过高，会导致漏检产生假阴性(FN， falsenegative)结果。由于固定阈值的这些缺点，有研究者提出了用可变阈 值检测，以提高检测的精确率，所采用的可变阈值包括幅度阈值、斜率阈值 和时间间隔阈值等。(Give priority to with software method for detecting QRS wave signal after some commonly after filtering Amount of transformation in order to improve the QRS wave, then using a series of threshold to distinguish, the threshold value is fixed Threshold value method and variable threshold value method. The former due to the possible interference or the existence of the high P and T waves, if More than the threshold value is created after the filtering false positives (FP, falsepositive results In addition, be careful Law of disorder or QRS wave amplitude decreases, threshold is set too high, can lead to leak to produce false negatives (FN, Falsenegative) results. Due to these disadvantages of fixed threshold, some researchers have proposed using variable threshold Value detection, in order to improve the precision of detection rate, adopted by the variable threshold including amplitude threshold, the slope threshold And the time interval threshold, etc.)