Dijkstra_matlab

详细介绍了微弱信号的检测方法 ,做信号检测的可以参考下其中的经典方法(Details of the weak signal detection methods, signal detection can be done under one of the classical method of reference)

DFIM Field Oriented Control

基于蒙特卡洛方法，模拟电动汽车一天随机出行情况，并预测电动汽车一天的充电负荷及曲线。可自行调整车辆数、充电频率、充电功率、起始充电时间、行驶里程等信息。(EV charging load forecast based on monte carol)

UFMC analysis where you can check the waveform of snr vs BER

在matlab环境下做电子电路仿真分析的电子书，共三个！内容包括算法和代码!(Environment in matlab to do the analysis of electronic circuit simulation e-books, a total of three! Include algorithms and code!)

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

合成孔径雷达的点目标回波仿真MATLAB程序(Synthetic aperture radar target echo the point MATLAB simulation program)

详尽地介绍了sparse sensing 和morpological Componet Analysis的内容(these introduce sparse sensing and morpological Componet analysis)

利用matlab程序实现列主元的高斯消去法。(using Matlab program out of the main yuan Gaussian Elimination Act.)

换能器阵元的不同排列组合决定其指向性，波束形成是多波束测量的关键技术。文中 通过数学计算总结了不同换能器阵进行波束形成的工作原理，并介绍了利用二维DFT进行频 域波束形成的一般方法。最后结合现役多波束测深系统，简单解释说明不同系统所采用的波束 形成技术。(Transducer using an array of different permutations and combinations to determine its directivity, beam formation is the key technology for multi-beam measurements. Summarized by mathematical calculations the transducer array beamforming works, and describes the general method of two-dimensional DFT in the frequency domain beam formation. Finally, the active-duty multi-beam sounding system, the simple explanation of the different systems used in beamforming technology.)