Runge-Kutta-4

adaptive beamforming in smart antennas using rls algorithm

this trains a set of images to calculate metric

The signal received by a user over the forward link in such a high data rate system contains interference from the neighboring base stations. we note that the strength of this interference is a function of the network load in the neighboring cells. we obtain an expression for the received SINR (Signal to Interference and Noise Ratio) as a function of the traffic load in the interfering cells. Using this result, we propose an improvement to the SINR estimation scheme that is implemented in the current cellular data network. The proposed scheme provides a more accurate estimate of the user SINR by taking better account of the contribution of inter-cell interference. It builds on top of the current SINR measurement scheme by using a combination of pilot measurement and traffic load measurement

最小二乘回归分析算法，合成孔径雷达（SAR)目标成像仿真，MIMO OFDM matlab仿真,仿真图是速度、距离、幅度三维图像，用MATLAB实现的压缩传感，使用拉亚普诺夫指数的公式。( Least-squares regression analysis algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, MIMO OFDM matlab simulation, FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB compressed sensing, Raya Punuo Fu index using the formula.)

《MATLAB科学计算宝典》一书附录的例程,全程实例解说MATLAB数值计算和数据可视化功能，提高实用经验。包括微分，积分计算，超越方程，混沌，机械振动等的模拟。(matlab science calculate， all sorts of model for science research and so on.)

说明：  自抗扰控制技术 估计补偿不确定因素的控制技术matlab代码(Matlab code of Auto Disturbance Rejection Control Technology)

The timing_recovery_1.mdl uses Simulinks variable step solver to create a continous time QPSK signal with both carrier and symbol rate errors. This is a relativly straight forward approach, but is computationally expensive. The sescond model, timing_recovery_2Q.mdl uses a purely discrete time approach using the same fractional sample delay approach as does the receiver. This can run much faster.

GMSK信号调制和解调的仿真代码，包含一比特差分、2比特差分、鉴频等常用GMSK解调方案.之前上传的GMSK Modem差分相干、2比特差分解调存在问题。(GMSK demodulation schemes including one bit differential decoding, two bit differential decoding, differential coherent and digital frequency discriminating methods.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

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.