hvdc_vsc

its calculating force in active suspension system

对FMCW CSAR成像中存在的多普勒偏移校正的程序，自己编的，能够有效校正。(Presence of FMCW SAR imaging Doppler offset correction program, own, and can be effectively corrected)

FMCW体制雷达的测距测速仿真，其中包括单点目标和多点目标的探测 参考文献： [1]屈飞园,曹宁. 车载FMCW雷达准确检测多目标的一种有效方法[J]. 科学技术与工程,2012,(06):1263-1267.(FMCW system of radar ranging speed simulation, including single-point target and multi-point target detection)

该程序提供一种在matlab中调用java.awt和javax.swing库的方法()

DSP程序开发MATLAB调试及直接目标代码生成(Generate DSP codes from MATLAB)

说明：  MATLAB求解最大lyapunov指数源代码(MATLAB to solve the largest index of the source code lyapunov)

用于语音端点检测，可以将连续语音分割为孤立词。(For voice activity detection, continuous speech can be split into isolated words.)

超宽带系统链路matlab仿真程序 超宽带系统简单仿真平台，有简单界面.包括可替换的脉冲成型（半余弦脉冲）、IEEE802.15.3a的修正SV信道、最大似然信道估计、Rake接收机等模块，可以实现monte carlo仿真求误码率。可添加多址接入、编码等功能（维特比编解码、帧同步的程序由本人同学编写）。入口主程序uwbsim.m 编解码程序：bin2deci.m；bini2deci.m；deci2bin.m VITRBI.m 信道及信道估计：ch_est.m；channel.m；channelgenerator.m；conv_m. m；sigfold.m UWB_SV_channel.m uwb_sv_cnvrt_ct.m uwb_sv_eval_ct.m uwb_sv_model_ct.m uwb_sv_params.m Rake接收机：findpeak.m；MRC_combine.m；MRC_Rake.m；n_upsample.m；selectpath.m 其他：cnv_encd.m；dssignal.m；Eb_halfcos.m；waveshape.m；halfcos_generator.m；metric.m；nxt_stat.m；sim_main.m；spreadgren.m；test_code.m；training_ds.m；uwbsim.m；vit_test.m(UWB system links Matlab simulation program UWB simple system simulation platform, A simple interface. including replacement of the pulse shaping (semi-cosine pulse). IEEE802.15.3a amendment SV Channel, the greatest likelihood channel estimation, the Rake receiver modules. can be achieved monte carlo simulation for BER. They can add multiple access, coding, and other functions (Viterbi codec, frame synchronization procedures prepared by my classmates). Edit the entrance uwbsim.m codecs : bin2deci.m; bini2deci.m; deci2bin.m VITRBI.m Channel and Channel Estimation : ch_est.m; channel.m; channelgenerator.m; conv_m. m; sigfold.m UWB_SV_channel.m uwb_sv_cnvrt_ct . m uwb_sv_eval_ct.m uwb_sv_model_ct.m uwb_s v_params.m Rake : findpeak.m; MRC_combine.m; MRC_Rake.m; n_upsample.m; selectpath.m Other )

Training Artificial Neural Network. XOR Problem. Summation Units, Log-Sigmoid Neurons with Biases. Input Layer: 2, Hidden Layer: 2, Output Layer: 1 neurons. Returns mean square error between desired and actual outputs. Reference Papers: D. Karaboga, B. Basturk Akay, C. Ozturk, Artificial Bee Colony (ABC) Optimization Algorithm for Training Feed-Forward Neural Networks, LNCS: Modeling Decisions for Artificial Intelligence, 4617/2007, 318-329, 2007. D. Karaboga, C. Ozturk, Neural Networks Training by Artificial Bee Colony Algorithm on Pattern Classification, Neural Network World, 19(3), 279-292, 2009. */

添加有限流控制的电池放电仿真实验，用于电池建模(Add a limited flow control battery discharge simulation for battery modeling)